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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>These authors contributed equally.
£ marijn.koolen@di.huc.knaw.n(lM. Koolen);rik.hoekstra@di.huc.knaw.n(lR. Hoekstra);
joris.oddens@huygens.knaw.nl(J. Oddens); ronald.sluijter@huygens.knaw.n(Rl. Sluijter)
ç https://marijnkoolen.com/(M. Koolen)
ȉ</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Formulas and Decision-Making: the Case of the States General of the Dutch Republic</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>MarijnKoolen</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Rik Hoekstra</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>JorisOddens</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>RonaldSluijter</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>DHLab</institution>
          ,
          <addr-line>KNAW Humanities Cluster</addr-line>
          ,
          <country country="NL">Netherlands</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Huygens Institute</institution>
          ,
          <country country="NL">Netherlands</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2023</year>
      </pub-date>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>Formulaic expressions are commonly used in administrative texts, and may re昀氀ect standardisation of the decision-making process or its recording process. In this paper we investigate whether the use of formulas in the Resolutions of the Dutch States General (1576-1796) reveal an increase in standardisation. We use stylometric analysis and measures of textual repetition to identify shi昀琀s in the use of formulas, and study how the fraction of paragraphs that is covered by formulas changes over time to identify templates consisting of frequent combinations of formulas. Our 昀椀ndings are that there are stylistically clearly distinguishable periods, and that the use of formulas and templates increases between subsequent periods.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;formulaic expressions</kwd>
        <kwd>information extraction</kwd>
        <kwd>political history</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Formulaic expressions have been used in legal procedures and decision-making processes for
millennia 4[
        <xref ref-type="bibr" rid="ref27 ref33">0, 33, 27</xref>
        ]. O昀琀en, the correct usage and exact phrasing of formulas established their
validity [
        <xref ref-type="bibr" rid="ref40">40</xref>
        ]. Formulas could also make recording more e昀케cient, by lowering the cognitive load
to think of a phrasing that correctly expresses what was decided. Similarly, it could make
organising and 昀椀nding back information easier [
        <xref ref-type="bibr" rid="ref32">23</xref>
        ]. Formulas could also re昀氀ect a standardisation
of the decision-making process itself.
      </p>
      <p>
        In this paper, we investigate whether the development of formulaic expressions in the
resolutions (decisions) of the States General of the Dutch Republic in the period 1576-1796 re昀氀ects
changes in the decision-making process and its recording. The archive of resolutions contains
all decisions registered during daily meetings for a 220 year per3io2,d2[
        <xref ref-type="bibr" rid="ref37">0, 37</xref>
        ]. The resolutions
are bundled chronologically, in one or more volumes per year.
      </p>
      <p>The digitised archive contains almost 500,000 pages of handwritten and printed resolutions
in over 600 volumes1. Textual representations of these pages were made through HTR, a昀琀er
which the text has been segmented into paragraphs and individual decisio2ns.The archive
consists of almost 1 million decisions and 150 million words.</p>
      <p>The resolutions of the States General (SG) have a stable structure, consisting of two parts: a
proposition and a decision. The proposition describes what was proposed or requested and by
whom, and the decision paragraph details whether the proposition has been accepted, and if
so, under what conditions and what actions are to be taken next. Earlier research has shown
that the resolutions contain many text structuring formula2s9,[ 21], including formulas to
introduce the proposition and decision paragraphs (Figu1r).e</p>
      <p>So far, it is not clear whether these formulas were used throughout the entire period, and
whether they changed over time, and, if so, how emergence, change and disappearance of
formulas was related to changes in the meeting procedures, the way the decisions were recorded
or who recorded them.</p>
      <p>In this paper, we focus on a diachronic analysis of the resolutions and how changes in the
use of formulas is potentially related to standardisation, both of phrasing and of procedure.
1See https://www.nationaalarchief.nl/onderzoeken/archief/1.01.02
2See https://republic.huygens.knaw.nl/index.php/en/republic-engli.sh/</p>
      <p>Our analysis consists of three parts. We start with a stylometric analysis to investigate if
volumes written closer to each other in time are also stylistically more similar, and if there are
periods of stable language use. Next, we compare the periods in terms of vocabulary growth
of individual words and word n-grams to analyse how textual repetition changed over time.
Finally, we zoom in on resolutions that consist mostly of commonly co-occurring words to
identify whether they reveal signals of standardisation of decision making or recording.</p>
      <p>We report a number of 昀椀ndings. First, clusters of stylistically similar volumes form
contiguous periods, which in the 17th century correspond with changes between the gre昀케ers who
were in charge of the creation and organisation of the resolutions. Second, the di昀erent
periods have a similarly sized vocabulary of frequently used individual words, but later periods
have a larger vocabulary of frequently repeated multi-word phrases, suggesting an increase in
formulaic expressions. Third, the resolutions show an increase in the use of template
structures for speci昀椀c types of propositions and decisions, that consist almost entirely of formulas
in which only names, locations and dates varied.</p>
      <p>Our 昀椀ndings suggest that the resolutions show an increasing standardisation, of either the
decision-making process, the recording process, or both. We end with a discussion of the
implications of our analysis and suggestions on how to link speci昀椀c characteristics of the corpus
to these two processes.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Background</title>
      <p>Our work builds on di昀erent strands of research: research related to the nature of
administrative and legal discourse and the role of formulaic expressions; the study of the linguistic
characteristics of formulaic expressions and textual repetition; and study of the decision-making and
recording processes related to the creation of the archive of resolutions. The latter is discussed
in Section 3.</p>
      <sec id="sec-2-1">
        <title>2.1. Administrative Texts and Formulaic Language</title>
        <p>According to Gotti, textual standardisation is particularly strong in legal genres, as texts are
o昀琀en adaptations of earlier texts, and because their precise formulation determines their legal
force. Frade noted that the operative clauses in contracts remain stable as part of an attempt
to “unify and harmonise legal rules1”3[, pp.49-50].</p>
        <p>
          Formulaic expressions are commonly used in administrative documents to signal important
aspects of a document [
          <xref ref-type="bibr" rid="ref25 ref26">25, 26, 21</xref>
          ]. Medieval charters contain opening and closing formulas to
signal that the document is a charter and what type of charter it i5s, [
          <xref ref-type="bibr" rid="ref6">9</xref>
          ]. Notarial deeds contain
formulas based on notary manuals to make sure the transaction they con昀椀rm is unambiguous
and follows protocol42[
          <xref ref-type="bibr" rid="ref28">, 28, 30</xref>
          ].
        </p>
        <p>Gustafsson estimated that legal texts have higher repetition of multi-word phrases than texts
in other genres. This 昀椀nding was corroborated by Koolen and Hoekstra who found that
administrative texts have more textual repetition of especially phrases of 3 or more words, than other
genres.</p>
      </sec>
      <sec id="sec-2-2">
        <title>2.2. Identifying formulaic expressions</title>
        <p>
          The identi昀椀cation of formulas in text corpora is studied, a.o., in the 昀椀eld of computational
phraseology 3[
          <xref ref-type="bibr" rid="ref1">1</xref>
          ]. Several algorithms exists to automatically extract repeated phras4e1s, [
          <xref ref-type="bibr" rid="ref38">38</xref>
          ],
although most of these studies focus on modern languages. Closer to our aims is research by
Kopaczyk, who studied the use of formulaic expressions in Medieval Scottish legal texts, by
identifying frequently used long phrases24[
          <xref ref-type="bibr" rid="ref25 ref26">, 25, 26</xref>
          ]. Kopaczyk focuses on the relationship
between standardisation in the legal texts and the standardisation of the Scottish language. In
earlier work we identi昀椀ed formulas in the resolutions of the Dutch States General to segment
and structure the text into individual resolutions, but did not look at changes in the use of
formulas Koolen and Hoekstra.
        </p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>3. The Corpus of Resolutions</title>
      <p>The resolutions are the written record of the decisions taken at the meetings of the assembly
in The Hague on weekdays and sometimes even on Sundays from 1593 until 1796.</p>
      <p>
        They have been studied extensively 3[
        <xref ref-type="bibr" rid="ref12 ref2 ref36 ref37">2, 36, 37, 6</xref>
        ], including the institutional context of the
daily meetings and the recording of the resolutions by tghree昀케er and his department of clerks.
      </p>
      <sec id="sec-3-1">
        <title>3.1. The recording of resolutions of the States General</title>
        <p>Knowledge about the procedures during and a昀琀er the meeting relating to the decision-making
and its recording in the form of the written resolutions is relevant for our analysis (for more
details see AppendixA).</p>
        <p>Gre昀ier transitions Over the 220 year period, 13 di昀erent people held the position of gre昀케er.</p>
        <p>Each gre昀케er may have introduced his own preferences for spelling and vocabulary, and
may have changed the existing formulas as well as introduced new formulas. It is
plausible that formulas introduced by one gre昀케er were adopted by the next gre昀케er. If so,
we would expect the amount of formulas used to gradually increase over time and not
decrease.</p>
        <p>Reduced spelling variation During the 17th and 18th centuries, Dutch spelling was not yet
椀昀xed resulting in spellingvariation (multiple spellings of the same word within a single
volume) as well as spellincghange over time. However, the progressive tendency toward
standardisation of spelling, also a昀ected standardisation of the surface form of formulaic
phrasing. Furthermore, from 1705 the resolutions were printed, and have a lower
character error rate in text recognition. The Character Error Rate (CER) for handwritten
material is2 − 3% and for printed materia0l.5 − 1.0%. This a昀ects surface forms of
expressions, so more variation is expected in the handwritten material due to recognition
errors.</p>
        <p>Increased time pressure Throughout the 17th century the daily number of decisions grew,
resulting in increasing pressure to e昀케ciently minute and extend resolutions for approval
the next day [37, Ch.4]. This may have lead the gre昀케er to introduce standard phrasings
for the most repetitive elements of the resolutions.
Procedural standardisation To improve the production, organisation and approval of
resolutions, the SG introduced various changes to the procedur3e7,[pp. 436-437]:
Introduction of resumption (1637) The gre昀케er read aloud all recorded resolutions
for approval by the SG. From 1637, this was moved from the end of the meeting to
the start of the next meeting, giving the gre昀케er more time to dra昀琀 the resolution
[37, p.437].</p>
        <p>Preparation by committees (1651) From 1651, committees of the SG increasingly
prepared its administrative, organisational and ceremonial tasks to such an extent that
discussing them in the meeting was reduced to a formality36[, p.162].</p>
        <p>Extending by the commies (1680) Until 1680, the gre昀케er extended the minutes into
full resolutions himself. A昀琀er 1680, this was taken over by the so-callceodmmies
[32]. Strict protocols ensured that the resolutions re昀氀ected what was decided at
the meeting. A modest manual comparison between minute and neat resolutions
corroborates that there were indeed minimal deviations in word choice and word
order, although there were individual di昀erences in spelling.</p>
        <p>The corpus of resolutions that we used covers the period 1597-1796, minus the years 1651,
1703 and 1704, and consists of two parts. The handwritten resolutions of 1597-1702 come in the
form of individual paragraphs (no resolutions boundaries have been detected yet). The printed
resolutions of 1705-1796 are segmented at the level of resolutions (consisting of one or more
paragraphs). For uniformity, we analyse both the handwritten and printed resolutions at the
level of paragraphs.</p>
        <p>A more extensive description of the selection of resolutions is given in AppenAdi.1x. The
corpus for analysis consists of just over 1.5 million paragraphs and 125 million words.</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Stylometric Analysis</title>
      <p>One way to study the extent of language stability or change is through stylometric analy8s]is. [
Quantitative aspects of writing style that are indicative of authorship include high-frequency
words and phrases 7[]. We use stylometry to identify sudden shi昀琀s in the style between two
periods that could signal a change in spelling (from ’ae’ to ’aa’), in author (gre昀케er, commies or
clerks), but also a change in recording the decisions (through introducing stable expressions
for recurring aspects of decisions) or in procedural changes (the requirements of submitting
proposals in written form in 1625, the introduction of resumptions in 1637, or the increased
preparation by committees from 1651.</p>
      <p>
        Burrows’ Delta 7[] is one of the most robust measures of textual distance and authorship
attribution [
        <xref ref-type="bibr" rid="ref21 ref8">19, 12</xref>
        ]. Jannidis, Pielström, Schöch, and Vitt found that the Cosine metric35[] is
a more e昀ective distance measure then Manhattan distance [
        <xref ref-type="bibr" rid="ref13">7</xref>
        ] and Euclidian distance 1[] for
corpora of 昀椀ction novels in three di昀erent languages.
      </p>
      <p>We compute Cosine distances based on the top 1000 most frequent word 3-grams, for the
resolutions of individual years. That is, we combined the text of all resolutions of one year,
and compare the style of resolutions between years. The reason to use word 3-grams is that
we want to identify transitions in the use of multi-word phrases. A heatmap of the cosine
distances between all years is shown in Figur2e. The periods are ordered from 1597 to 1796 on
the X- and Y-axis. Larger distances are darker red. The distances are lowest along the diagonal,
which indicates that the resolutions written close to each other in time are more similar in style
than resolutions written further apart in time.</p>
      <p>Given that we do not know who the authors of the speci昀椀c resolutions are, we have no
ground truth to evaluate how e昀ectively Burrows’ delta can cluster resolutions by author.
What we can do is make hierarchical clusters and analyse: 1) how books of resolutions cluster
temporally (e.g. do the books in the same cluster form a continuous period, or are books from
di昀erent periods grouped together?), and 2) whether clusters overlap with periods of di昀erent
gre昀케ers or periods of the same spelling preferences, or periods with the same formulas.</p>
      <p>
        For the hierarchical clustering of the yearly resolutions we use SciPy’s hierarchy li3nkage
based on the Ward method 3[
        <xref ref-type="bibr" rid="ref6">9</xref>
        ]. Of the many available linkage algorithms, stylometric
evaluations in literary studies has found Ward to be one of the best performing metho1d8s, 1[
        <xref ref-type="bibr" rid="ref1">1</xref>
        ].
We are not aware of any similar studies for administrative texts, therefore, use the 昀椀ndings in
literary studies as the best available evidence.
      </p>
      <p>Ideally, we would end up with clusters that group contiguous years, that is, the years in a
cluster form one continuous period. For purposes of comparison, we want clusters that are
neither very small (only 1 or 2 years) nor very big (grouping an entire century). We use SciPy’s
fcluster function withdistance as metric and range over the cut thresho ldto 昀椀nd a suitable
number of clusters.</p>
      <p>The clusters show strong temporal groupings at any level of the clustering. With 200 years
of resolutions, the details of the dendrogram with 200 leaves are hard to read, but it clearly
shows there are two main clusters. The le昀琀 cluster in Figur3e contains all the years with
handwritten volumes (1597-1702), and the right cluster all the printed volumes (1705-1796) (see
Appendix B for the full dendrogram). It seems plausible that the additional step of typesetting
the resolutions had an in昀氀uence on spelling and style. The vertical dashed line shows the
threshold = 71 at which we cut the hierarchical clustering and 昀氀atten the sub-clusters within
each cluster at that level. All clusters except one are contiguous. At lower thresholds, the
number of clusters with non-contiguous periods increases. The one non-contiguous cluster
has a contiguous part from 1671 until 1692, and one extra year, 1702. In the dendrogram, this
cluster is next to the contiguous cluster 1693-1701, so the discontinuity is still stylistically close
to the intermediate period.</p>
      <p>For easier analysis, we use the contiguous parts of the clusters and move the year 1702 to its
neighbouring cluster 1693-1701, so that it forms one contiguous period as well. The resulting
cluster boundaries are shown as dashed lines in Figu9re</p>
      <p>There are 11 clusters, covering periods ranging between 9 and 32 years (Tab1)l.e Some
clusters overlap with the periods of one or more gre昀케ers, e.g. the cluster 1597-1628 overlaps
with the gre昀케ers Cornelis van Aerssen en Johan van Goch. The next two clusters, 1629-1637
and 1638-1651 overlap with gre昀케er Cornelis Musch (1628-1650), and the change in the
resumption procedure (1637) as well as the requirement that propositions of anyone outside the SG
were submitted in writing and signed by the proposer (16248)I.n the 18th century, the cluster
boundaries seem more related to changes in spelling than to transitions of gre昀케ers.
3See https://docs.scipy.org/doc/scipy/reference/cluster.hierarchy.html#module-scipy.cluster.hierarchy
4This was in fact already instructed by the SG in 1623, but was reiterated in 1628 and again in 1646, when the then
gre昀케er Cornelis Musch, known at the time for his corruption, turned out to still handle many requests in person
[37, p.461].</p>
    </sec>
    <sec id="sec-5">
      <title>5. Textual Repetition and Vocabulary Growth</title>
      <p>With the 11 style-based periods, we investigate changes in the use of formulaic expressions.
We start with analysing vocabulary growth and repetition2. 1][ used vocabulary repetition
ratios to show that administrative texts, and especially the resolutions of the SG, contain more
frequently repeated phrases than other document genres.</p>
      <p>We start from the same premise that textual repetition is a signal for the amount of formulas
being used, and analyse if the amount of textual repetition decreases or increases over time, and
if so, whether these changes correspond in time with any of the changes in gre昀케ers, meeting
procedures or spelling, as identi昀椀ed in Tabl1e.</p>
      <p>Instead of using repetition ratios, we use vocabulary growth curv2e,s 3[]. These curves
show how the size of the vocabular y grows as the number of term tokens increases. The
vocabulary ( ) contains all terms in the analysed text, but growth curves can be computed
for di昀erent threshold frequencies. E.g. 1( ) is the growth of the vocabulary of terms that
occur at least once a昀琀er observing tokens, while 5( ) shows the growth for terms that
occur at least 昀椀ve times.</p>
      <p>To create the growth curves for a given period, we put the paragraphs of that period in a
random order and count term frequencies. For a curve  fo(r ) , a昀琀er every 10,000 terms, we
record the number of terms with a frequen c(y ) ≥  .</p>
      <p>From a frequency-based de昀椀nition of formulas, we expect a change in the use of formulas to
be re昀氀ected by a change in vocabulary growth, with higher usage of formulas leading to faster
growth of high-frequency terms.</p>
      <p>Terms can be individual words, but also word n-grams. Formulaic expressions are
multiword phrases, therefore, like21[], we expect di昀erences in the use of formulas to be especially
re昀氀ected by di昀erences in growth curves of multi-word terms.</p>
      <p>The curves for the 11 style-clustered periods are shown in Figu4rfoer up to 1 million words
per period5. The top plot shows 1( ) for word 1-grams, while the middle and bottom plots
show  25( ) for, respectively, word 1-grams and word 5-grams. In the top plot, it is clear
that the di昀erent periods have di昀erent vocabulary sizes, with the 18th century periods having
smaller vocabularies than 17th century periods. Among the 17th century periods, there is no
linear relationship between period and vocabulary growth. For the earliest period resolutions
(1597-1628), the vocabulary growths fastest — perhaps re昀氀ecting the highest amount of spelling
variation — but for the following period (1638-1650) the vocabulary growths slower than for
all other periods of handwritten resolutions.</p>
      <p>The middle plot shows that among the more frequent words, the di昀erences between the
periods are smaller. This shows that across all periods, there is a similarly sized vocabulary of
common words.</p>
      <p>Finally, the bottom plot shows how many di昀erent 5-word phrases occur at least 25 times.
Here, the di昀erences are clear. The earliest period has very few repeated 5-grams, while the
periods of the printed editions in the 18th century have well over 1750 5-grams a昀琀er observing
1 million words. We note that some of these 5-grams are partially overlapping, because they
are part of a single, longer formulaic expression. It is possible that textual repetition increases
because the number of formulaic expressions increases, but also because formulas are getting
longer. There is a large gap between the earliest period 1597-1628 and the next period
16291637, possibly indicating that the earliest period has few frequent formulas. Throughout the
17th century, the number of frequent 5-grams increases. The last period of handwritten
resolutions, 1693-1702, is close to the printed resolutions in terms of 5-gram repetition. It seems
5The periods di昀er in the number of resolutions and the amount of text, but all have at least a few million words.
For each period, the 昀椀rst 1 million ngram tokens from randomly ordered paragraphs is thus semi-random sample.
that from 1693, the number of frequent 5-grams per 1 million words stabilises.</p>
      <p>The changes in vocabulary repetition can also be viewed by taking a single data point per
period, e.g. the vocabulary size at 1 million words. This is shown in Fig5u,rwehere the
vocabulary size 25(1, 000, 000) is shown for 1-5 word n-grams for the 11 periods. The vocabulary
of word 1-grams and 2-grams does not change much over 200 years, indicating that, despite
di昀erences in the amount of spelling variation, each period has a similarly large vocabulary
that is used in frequent expressions. For larger n-grams, the di昀erences in vocabulary size
become more pronounced. Between 1600 and 1700, the amount of repetition steadily grows, and
remains stable in the 18th century. These results make it unlikely that the reduction in spelling
variation is the only cause for the increase in the use of long repetitive phrases.</p>
      <sec id="sec-5-1">
        <title>5.1. Vocabulary and spelling variation</title>
        <p>Spelling stabilised throughout the 17th and 18th century, but there were also consistent
changes, e.g. from ‘ae’ to ‘aa’ for long a-vowels as ivnerstaen vs. verstaan (EN: ‘understand’)
and waerop and waarop (EN: ‘on which’). This is visible in the yearly relative term frequencies
of variants of these terms, shown in Figur6e. The variants ofverstaan are shown at the top,
and those ofwaarop at the bottom.</p>
        <p>The 昀椀rst notable change in both plots in Figure6 is around 1628, when Cornelis Musch
becomes gre昀케er, until 1650. Both verstaen and waerop are suddenly used much more frequently.
This corresponds to a growth in the amount of textual repetition during this period (see
Figure4). These words are part of the central decision formuwlaaerop gedelibereert sijnde is
goetgevonden ende verstaen dat (EN: ‘which, a昀琀er deliberation, it has been accepted and understood
that’, see Figure1), that is introduced in the resolutions around the time when Musch takes over
the role of gre昀케er. The variant verstaen is more or less the only variant until brie昀氀y in
16701672, when there are two transitions of gre昀케ers, once in 1670 and again in 1672. With Gaspar
Fagel as gre昀케er in 1670-1672, both verstaen and verstaan were used. With the next gre昀케er,</p>
        <p>Hendrik Fagel de Oudste,verstaen is used exclusively. Then, in 1690, when François Fagel
takes over, verstaan is used more frequently thanverstaen. Their order swaps again around
1700 until 1717, when the use ofae is discarded andverstaan is used exclusively. For variants
of waarop, swaps in their relatively frequency occur at the same moments in time, suggesting
that these spelling changes have the same underlying causes (perhaps change of gre昀케er or
commies). Forwaarop there is another source of variation, which is the segmentation of
function words. The termwaarop can also be spelled as two wordwsaar op. For these variants,
there is one period between 1690 and 1705, where all four variants occur. Again, from 1717,
only a single variant is used. For many key terms in the resolutions, the distributions show
similar shi昀琀s from almost exclusive use of one variant to almost exclusive use of another. This
suggests that spelling variation of key terms was minimal, which is further evidence that the
increasing repetition of long phrases is not only due to increasing spelling standardisation.</p>
      </sec>
    </sec>
    <sec id="sec-6">
      <title>6. Template structures in resolutions</title>
      <p>If the recording of resolutions standardised over time, we would expect to see resolutions to
increasingly consist of frequent formulas or phrases. To idenctiafnydidate formulas, we used a
frequency threshold to extract sequences of commonly co-occurring wor2d1]s.[We use these
sequences to analyse what fraction of a resolution consists of succahndidate formulas.</p>
      <p>The eleven periods identi昀椀ed in Section4 have di昀erent amounts of text. To make a fair
comparison across these periods, we use frequency thresholds that are relative to the amount
of text in each period. For the minimum co-occurrence frequency of word pairs, we use a
threshold of once per 100,000 word tokens. That is, a continuous sequence of words is
considered acandidate formula if each pair of words in the sequence co-occurs at least once per
100,000 words. This threshold was chosen on practical grounds. Per period, this corresponds
to a minimum term frequency between 45 (for period 1629-1637 with 4.5 millions words) and
172 (for 1736-1764 with 17.2 million words). This means all low-frequency terms (including
most terms with recognition errors) are removed, while retaining a large enough vocabulary
to identify formulas containing mid-frequency terms, if they mostly occur in the same context.</p>
      <p>Next, we compute the fraction of words in each paragraph that are partcoafndidate formulas.
For a paragraph of 100 words with 昀椀ve candidate formulas of ten words each, thcoeverage of
a paragraph by candidate formulas is 50% of the text. With this de昀椀nition ocfoverage, we look
at its distribution for the eleven periods (see Figu7r)e, for both the handwritten and printed
resolutions (top and bottom plot respectively). There are clear di昀erences between periods. For
the earliest period, the bulk of the paragraphs have a coverage below 0.4. For later periods, the
bulk is shi昀琀ed to the right, with the exception of 1638-1650 and 1652-1670. These two periods
have a high number of paragraphs with zero coverage by candidate formulas. These are mostly
very short paragraphs of a few words due to incorrectly inserted paragraph boundaries. In the
printed resolutions, the paragraph coverage by candidate formulas is higher, with the bulk
having a coverage between 0.6 and 0.9, and a peak around 0.9. Throughout the 18th century,
the peak at 0.9 gets higher, with the exception of the last period 1787-1796. Note that the last
period of handwritten resolutions (1693-1702) has a distribution similar in shape to those of
the printed resolutions, but with a less pronounced peak.</p>
      <p>These results suggest that over time, an increasing part of paragraphs became formulaic.
This prompts several questions. For instance, what is the nature of paragraphs that consist
almost exclusively of candidate formulas? And does the gradual increase of candidate formulas
correspond to increasingly standardised resolutions?</p>
      <sec id="sec-6-1">
        <title>6.1. Template Resolutions</title>
        <p>We zoom in on the paragraphs with highcoverage, for four of the eleven periods, to see how
the nature of these paragraphs changes.</p>
        <p>
          First, we analyse whether high-coverage paragraphs are di昀erent from other paragraphs by
identifying key phrases. We turn each candidate formula into word 5-grams and count their
frequencies. Then we compare their frequencies in high-coverage paragraphs against their
frequencies in all paragraphs in a given period. Fkoeryness we compute the log likelihood ratio
[10] and percentage di昀erence [
          <xref ref-type="bibr" rid="ref10">15, 14</xref>
          ] and select 5-grams with 2 &gt; 10.83 (which corresponds
to a p-value &lt; 0.001 ) and a percentage di昀erence above %  &gt; 20% . These threshold values
are somewhat arbitrary, but were chosen empirically. The numberkeoyfphrases per period are
shown in Figure8. In the early periods, there are few phrases that are statistically signi昀椀cantly
more likely to appear in high-coverage paragraphs than in other paragraphs. From the 18th
century onward, the number of phrases increases rapidly. It seems that the nature of candidate
formulas and of high-coverage paragraphs changes over time.
        </p>
        <p>To 昀椀nd out what changes, we zoom in further, and select paragraphs where thkeey phrases
cover at least 30% of paragraphs. We then make TF-IDF representations of these paragraphs
and cluster them using K-means, wit h= 20 . The reason to cluster paragraphs is to 昀椀nd out if
there are speci昀椀c types of paragraphs with speci昀椀c functions and consisting of relatively 昀椀xed
sets of formulas. TheElbow and Silhouette measures both indicate tha t = 3 gives the optimal
clustering, but we 昀椀nd that higher values of K result in a better separation of di昀erent resolution
templates. But they also lead to multiple clusters with the same formulas and functions (which
are merged with = 3 ).</p>
        <p>The clustering was done for each of four periods 1597-1628, 1671-1692, 1717-1735 and
17651786. Based on manual inspection of the results, we created sets of regular expressions for
each identi昀椀ed template and classi昀椀ed the resolutions in each of the clusters. Most clusters
are highly homogeneous and consist of paragraphs with a single stable template, while some
clusters are mixtures of multiple templates and of paragraphs that do not seem to follow a
template structure.</p>
        <p>With  = 20 , many of the clusters contain paragraphs with small variations of the same
template (which are grouped into a single cluster when we cho os=e 3 ), that has the following
main form:</p>
        <p>Ontfangen een Missive van &lt;PERSON&gt;, geschreven te &lt;LOCATION&gt; den
&lt;DATE&gt;, houdende advertentie, Waar op geen resolutie is gevallen. (EN: Received
a Missive of &lt;PERSON&gt;, written in &lt;LOCATION&gt; on &lt;DATE&gt;, containing
intelligence, on which no resolution was made.)</p>
        <p>Another large and stable group consists of so-called resumption paragraphs, which appear at
the start of each session to indicate that the written versions of the resolutions of the previous
day have been read and approved:</p>
        <p>DE Relolutien gisteren genomen, zyn geleesen en geresumeert, gelijk ook
geresumeert en gearresteert zyn de Depeches daar uit resulteerende. (EN: The
resolutions made yesterday are read and summarised, as well as the depeches that follow
from them.</p>
      </sec>
    </sec>
    <sec id="sec-7">
      <title>7. Conclusions</title>
      <p>With this paper, we aim to shed light on the use of formulaic expressions and templates to
standardise the decision-making process of the States General of the Dutch Republic, and of
the recording of the decisions resulting from it.</p>
      <p>The 200 years of recorded decisions of daily meetings form an invaluable resource to study
these processes, but come with many challenges as well. Over this long period, many aspects
of both processes changed, and it is di昀케cult to establish how these changes are re昀氀ected in or
have in昀氀uenced the creation of the written resolutions.</p>
      <p>Our stylometric analysis suggests that the resolutions went through several stylistic changes
that align in the17ℎ century with transitions between gre昀케ers who were in charge of recording
and organising the resolutions, and in th1e8ℎ century by changes in spelling conventions.</p>
      <p>The analysis of vocabulary growth of individual words and word 5-grams shows that over
time, the amount of textual repetition of multi-word phrases increases, suggesting an
increasing use of formulaic expressions.
6See Appendix C for examples of each type.</p>
      <p>Finally, our analysis of paragraphs that consist almost entirely of frequent multi-word
phrases reveal a set of template paragraphs, and show that both the number of template types
and the frequency of their usage increased over time.</p>
      <p>Our 昀椀ndings do not directly identify to what extent this standardisation is a re昀氀ection of
the decision-making process, or of its recording, or of both. It is possible that changes in one
of the processes in昀氀uenced the other. It is also possible that, with what written record has
survived/been handed down (resolutions or otherwise), it is impossible to separate these two
and identify more precise causal factors.</p>
      <p>Our 昀椀ndings prompt further questions in this direction. For instance, to what extent can
the introduction of speci昀椀c formulas or templates be attributed to individual gre昀케ers? Can
we distinguish the in昀氀uences of the gre昀케er and other people/clerks involved by comparing in
more detail the minutes and neat resolutions, and the di昀erent series of copies that have been
archived?</p>
      <p>
        Our 昀椀ndings only partially align with earlier analysis by Riemsdijk and Thomassen,
Thomassen, who disagree with each other on whether the commies took over the extending
of minutes to full resolutions from the gre昀케er in 16803[
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], or also the taking of the minutes
themselves [
        <xref ref-type="bibr" rid="ref37">37</xref>
        ]. Our stylometric analysis suggests that certain transitions between gre昀케ers
correspond to transitions in spelling, word choice and formulaic expressions, but it is as yet
unclear what the in昀氀uences of gre昀케er, commies and clerks were on the text of the extended and
approved resolutions. Further analyses of the handwriting of the resolutions and comparison
between extended resolutions and minutes could reveal more insight on this matter.
      </p>
    </sec>
    <sec id="sec-8">
      <title>Acknowledgments</title>
      <p>This research is funded by the Dutch Research Council (NWO) through the NWO Groot project
REPUBLIC (an acronym for REsolutions PUBlished In a Computational Environment)
20192024.</p>
      <p>We thank the volunteers for their invaluable contributions to this project.</p>
      <p>H. De Boor.Actum et datum: eine Untersuchung zur Formelsprache der deutschen
Urkunden im 13. Jahrhundert. 4. Verlag der Bayerischen Akademie der Wissenscha昀琀en, 1975.</p>
    </sec>
    <sec id="sec-9">
      <title>A. The process of recording the Resolutions of the States</title>
    </sec>
    <sec id="sec-10">
      <title>General of the Dutch Republic</title>
      <p>Although representatives of the regions that made up the Netherlands had been meeting since
1464 to provide advice and money to the sovereign, the States General only really became a
political factor of importance in the context of the Dutch Revolt against the Spanish king Philip
II. The States General developed into a political body in which the rebellious provinces–昀椀rst
including the southern, but from 1585 only the northern regions that became the Republic of
the Seven United Netherlands–negotiated and decided upon their common interests, such as
foreign policy, defence, and religious matters. The resolution registers are the written record
of the decisions taken at the meetings of the assembly, which resided in The Hague from 1588
onwards, and met practically on all weekdays and sometimes even on Sundays from 1593 until
1796.</p>
      <p>In the course of the period under study, various administrative customs developed which
are important for the analysis of the resolutions. The gre昀케er attended the meetings and had to
record the decisions taken. He 昀椀rst noted the conclusion and ‘extended’ it, until 1637 still
during the meeting, into a resolution by preceding it with the proposition. He was not allowed to
include the intermediate discussion unless a con昀氀ict ran high and one of the provinces explicitly
wished their position to be recorded. The gre昀케er read the resolutions, or just the ‘disposition’
(the decision), thus dra昀琀ed for approval by the assembly. A昀琀er 1637, the reading and approval
(the ’resumption’) was moved to the beginning of the next meeting, usually the following day.
As a result, more attention was paid to the dra昀琀ing of resolutions, leading to more
standardisation. The procedure of dra昀琀ing resolutions involved other o昀케cials, who gradually took on
a more important role as the administrative burden increased. The extension of some
resolutions was done by a clerk a昀琀er 1637, under the supervision of the gre昀케er. In 1637, the States
General appointed acommies, in some periods calledsecond gre昀케er , who replaced the gre昀케er
in his absence. From 1680 the commies/second gre昀케er took over the extension of the ordinary
resolutions entirely from the gre昀케er, sometimes with the help of a clerk. A昀琀er 1744, the
extension was le昀琀 entirely to a clerk. Of importance for the analysis of the ordinary resolutions
is also that in our project we do not use the minutes of the resolutions, but the written neat
copies until 1703, and therea昀琀er the printed copies. The reason for using the printed copes
where available, is that automatic text recognition gives the better results for printed than for
handwritten text. The neat copies were written by clerks. A small-scale manual comparison
between the minute and neat resolutions revealed that the latter are a very faithful copy of the
minutes, but the spelling of individual words sometimes di昀ers.</p>
      <p>Obviously, the involvement of di昀erent o昀케cials in the dra昀琀ing of the resolutions, and the
fact that the neat copies were written by clerks, has implications for our analysis. A昀琀er all, the
clerks form an additional layer between what the gre昀케er and commiezen dra昀琀ed and the neat
copies we used. Nevertheless, our analysis does show a correlation between variations in the
resolutions and the periods when di昀erent clerks were in o昀케ce when it comes to word usage
and spelling. Future research could also include the minute-resolutions in the analysis and
possibly distinguish between the di昀erent handwritings of gre昀케ers, commiezen and clerks.</p>
      <p>In addition to the ordinary resolutions, there was also a series of secret resolutions in which
the gre昀케er noted down resolutions that were too sensitive to be included in the ordinaris
register. Unlike the ordinary resolutions, the gre昀케er continued to extend these himself throughout
the period, obviously keeping them as secret as possible. Nor were these resolutions printed
like the ordinaris resolutions from 1703 onwards. As we do not currently have a proper
paragraph separation for the secret resolutions, these could not yet be included in the analysis.</p>
      <sec id="sec-10-1">
        <title>A.1. Text Selection and Representation</title>
        <p>The full corpus of resolutions consists of 220 years of decisions recorded in over 600 volumes
of handwritten and printed text. As with any large archive that was created over centuries, its
creation process was complex and went through many changes.</p>
        <p>Initially, there was only one series of minute resolutions, which consisted of the dra昀琀
resolutions with additions or amendments ordered by the assembly. From 1578 onwards, these
‘messy’ minutes were copied in a neat register, creating a second series of ordinary resolutions,
or the 昀椀rst series of neat resolutions. The introduction of the resumption in 1637 created a
third series. The gre昀케er’s dra昀琀 resolutions served as the basis of the resumption. Once this
dra昀琀-with amendments-was approved by the assembly, it was copied as the second series of
neat resolutions. In the mean time, the custom of having another neat copy produced remained.
From 1671, there was even a fourth series produced. For our analysis, we use the 昀椀rst set of
neat resolutions up to 1637, and from there the second set of neat resolutions.</p>
        <p>We were able to obtain the digital textual representations, transformed from lines of text on
physical pages into running paragraphs where word-breaks have been resolved, for the 200
year period 1597-1796, with the exclusion of 1651, 1703 and 1704. For these years, the HTR
process generated no usable output (yet).</p>
        <p>The individual resolutions have been identi昀椀ed in the printed volumes–covering the period
1705-17967–by [22]. This corpus has 286,340 resolutions. The handwritten volumes we
obtained, have not been segmented into individual resolutions, but 昀椀rst into individual sessi8o,ns
and into individual paragraphs. To have a more uniform corpus for our analysis, we removed
7There are printed copies of earlier volumes of resolutions, by they are archived separately, and have not gone
through the OCR pipeline yet.
8The resolutions were record chronologically, with the resolutions of each day preceded by the date and a list of
attendants of the meeting.
the date and attendance lists of the handwritten resolutions and cut t1h8eℎ century resolutions
into individual paragraphs as well. The total corpus has just over 125 million words.</p>
      </sec>
      <sec id="sec-10-2">
        <title>A.2. Spelling normalisation</title>
        <p>
          We attempted algorithmic spelling normalisation, using a combination of FastText word
embeddings [
          <xref ref-type="bibr" rid="ref5">4</xref>
          ] to 昀椀nd spelling variants that occur in similar contexts, context-sensitive rewrite
rules to normalise variation in vowel and consonant sequences, and word splitting and
merging to identify variation in word segmentation. The goal was to bring the di昀erent periods
closer together in spelling, or at least in amount of spelling variation. Although this worked
well for the later periods, we found that it captured only a small fraction of the variation for
the earliest periods. Given these 昀椀ndings, we perform the rest of the analyses in this paper
without spelling normalisation.
        </p>
        <p>We experimented with a combination of techniques to normalise spelling, for two reasons.
First, to study how spelling variation a昀ects the frequency of multi-word phrases, and
second, to bring the di昀erent periods closer together in spelling, or at least in amount of spelling
variation.</p>
        <p>We use FastText word embeddings 4[] to 昀椀nd spelling variants that occur in similar contexts.
Some spelling changes and variations are sudden and happen with whole groups of words. We
use a list of character ngram pairs and a list of context-sensitive rewrite rules to 昀椀nd spelling
variants. We compute word 2-gram frequencies per 5-year period and check if the merger of
each word 2-gram is more frequent in di昀erent periods. This results in a list of unigram and
bigram pairs that can be algorithmically normalised (e.g. always use the unigram or bigram,
or always use the most frequent of the two. All these term pair lists were manually curated to
remove errors.</p>
        <p>Although this worked well for the later periods, we found that it captured only a small
fraction of the variation for the earliest periods. Given these 昀椀ndings, we perform all the
analyses in this paper without spelling normalisation.</p>
      </sec>
    </sec>
    <sec id="sec-11">
      <title>B. Hierarchical clustering and periodisation</title>
      <p>The threshold value for cutting the hierarchical clustering and 昀氀atten the sub-clusters was set
to  = 71 for two reasons. First, at that level, the clusters are relatively close to each other in
size in number of years per cluster (between 9 and 30 years) and the number of clusters (11) is
small enough to make manual comparison feasible.</p>
      <p>Using more conventional criteria like silhouett3e4][ would have resulted in two clusters,
one for the handwritten resolutions of 1597-1702 and one for the printed resolutions of
17051796. This is by far the strongest division. The thresho ldwhere a single cluster splits into two
clusters is = 323 , and the threshold between a two cluster and a three cluster spl it=is213 .</p>
      <p>The second reason is that we want the number of non-contiguous clusters to be minimal. At
 = 71 , all but one of the clusters represent contiguous periods, and there is only a single year
(1702) that is grouped with a contiguous period (1671-1692). The closest cluster to that one
in terms of cosine distance is the intermediate period (1693-1701). All lower (integevra)lues
result in multiple temporal discontinuities in the clusters.</p>
      <sec id="sec-11-1">
        <title>The full dendrogram is shown in Figur9.e</title>
      </sec>
    </sec>
    <sec id="sec-12">
      <title>C. Examples of templated paragraphs</title>
      <p>Below are example paragraphs for each of the template types. The formula combinations are
underlined. Variable slots that require a named entity of a speci昀椀c type are indicated with
&lt;VAR&gt;.</p>
      <p>Template type: No resolution.</p>
      <p>ONtfangen een Missive van &lt;PERSON&gt;, geschreeven &lt;LOCATION&gt; den &lt;DATE&gt;,
houdendeadvertentie. WAAR op geen resolutie is gevallen.</p>
      <p>ONtfangen een Missive van &lt;PERSON&gt;, geschreeven te &lt;LOCATION&gt; den
&lt;DATE&gt;, geaddresseert aan den Gri昀케er Fagel, houdende advertentie. WAAR op
geen resolutie is gevallan.</p>
      <p>ONtfangen een Missive van &lt;PERSON&gt;, geschreeven te &lt;LOCATION&gt; den
&lt;DATE&gt;, houdendeadvertentie. WAAR op geen resolutie is gevallen.</p>
      <p>ONtfangen een Missive van &lt;PERSON&gt;, geschreeven te &lt;LOCATION&gt; den
&lt;DATE&gt;, houdendeadvertentie. WAAR op geen resolutie is gevallen.</p>
      <p>Template type: The resolutions taken yesterday have been read and approved.</p>
      <p>DE Relolutien gisteren genomen, zyn geleesen en geresumeert, gelijk ook
geresumeerten gearresteertzyn de Depeches daaruit resulteerende.</p>
      <p>DE Resolutlengisteren genoomen, zyn geleesen en geresumeert, gelijkook
geresumeerten gearresteertzyn de Depeches daaruit resulteerende.</p>
      <p>DE Resolutien gisteren ge. nomen, zyn geleesen en geresumeert, gelijkook
geresumeerten gearresteertzyn de Depeches daaruit resulteerende.</p>
      <p>DE Resolustiengisteren genoomen, zyn geleesenen geresumeert,gelijkook
geresumeerten gearresteertzyn de Depeches daaruit resulteerende.</p>
      <p>Template type: requesting the SG to send a bill to the Generaliteits Reekenkamer (EN:
Chamber of Finance):</p>
      <p>IS ter Vergaderinge geleesen de Requeste van &lt;PERSON&gt;, presenteerende daar
nevens aan haar Hoog Mogende sijne Declaratievan Daggelden en Verschotten
&lt;PERIOD&gt;; versoekende dat haar Hoog Mog. deselve ten 昀椀ne van examinatie
en liquidatie gelieven te senden aan den Raad van Staate en de Generaliteits
Reekenkamer.</p>
      <p>IS ter Vergaderinge geleesen de Requeste van &lt;PERSON&gt;, presenteerende daar
nevens aan haar Ho g Mo. sijne Deelaratievan Tractementen en Verschotten,
welke aan hem in voorschreeve qualiteit nog waren competeerende, &lt;PERIOD&gt;;
versoekende derhalven, dat haar Hoog Mog. deselve ten 昀椀ne van examinatie
en liquidatie gelieven te senden aan den Raad van Staate en de Generaliteits
Reekenkamer.
IS ter Vergaderinge geleesen de Requeste van &lt;PERSON&gt;, presenteerende daar
nevens aan haarHoogMog. sijne Declaratievan Taactementen, Daggelden en
Verschotten, &lt;PERIOD&gt;; versoekende dat haarHoog Mog. deselveten 昀椀ne van
examinatie en liquidatie, gelievente senden aan den Raad van Staate en de Generaliteis
Reekenkamer.</p>
      <p>Template type: acceptance to send a bill to the Generaliteits Reekenkamer (ENC:hamber
of Finance).</p>
      <p>WAAR op gedelibereertzynde, is goedgevonden en verstaan, dat de Declaratie
nevens de voorsz &lt;DOCUMENT&gt; gevoegt,gesonden sal worden aan den Raad
van Staate en de GeneraliteitsReekenkamer, om te visiteeren, examineeren en
liquideeren,volgens en in conformiteit van de ordresvan het Land.</p>
      <p>WAAR op gedelibereertzynde, is goelgevonden en verstaan, dat de Declaratie,
neevens de voorschreeve &lt;DOCUMENT&gt; gevoegt,gesonden sal worden aan den
Raad van Staate en de GeneraliteitsReekenkamer, om te visiteeren, examineeren
en liquideeren,volgens en in conformiteit van de ordresvan het Land.</p>
      <p>WAAR op gedelibereertzynde, is goedgevonden en verstaan, dat de Declaratie
nevens de voorsz &lt;DOCUMENT&gt; gevoegt,gesonden sal worden aan den Raad
van Staate en de GeneraliteitsReekenkamer, om te visiteeren, examineeren en
liquideeren,volgens en in conformiteit van de ordresvan het Land.</p>
      <sec id="sec-12-1">
        <title>Template type: Request Province for vote/opinion.</title>
        <p>WAAR op gedelibereertzynde, is goedgevonden en verstaan, mits deesen te
versoeken de Heeren Gedeputeerden van de Provincien, welkesig op het
voorszsubject nog niet hebben verklart, hun daartoe meede te willenbekwamen.</p>
      </sec>
      <sec id="sec-12-2">
        <title>WAAR op gedelibereertzynde, is goedgevonden en verstaan, mits deesen te versoeken de Heeren Gedeputeerden van de Provincien van &lt;PROVINCE&gt; en &lt;PROVINCE&gt;, welke sig op het voorschreevesubject nog net hebben verklaart, hun daartoe meede te willenbequamen.</title>
        <p>WAAR op gedelibereertzynde, is goedgevonden en verstaan, mits deesen te
versoeken de Heeren Gedeputeerden van de Provincie van &lt;PROVINCE&gt;, welke sig
op het voorschreevesubject nog niet hebben verklaart,hun daar toe meede te
willenbequamen.</p>
      </sec>
      <sec id="sec-12-3">
        <title>Template type: Deputies of province read resolution that is inserted.</title>
        <p>DE Heeren Gedeputeerden van de Provincie van &lt;PROVINCE&gt;, hebben ter
Vergaderinge ingebragt en laaten leesen de Resolutie van de Heeren Staaten van
hooggemeldeProvincie hunne Principaalen, waar by hoogstdeselve de gemelde</p>
        <p>DE Heeren Gedeputeerden van de Provincie van &lt;PROVINCE&gt;, hebben ter
Vergaderinge ingebragt en laaten leesen de Resolutie van de Heeren Staaten van
hooggemeldeProvincie hunne Principaalen, waar by hoogstdeselve consenteeren
in de door het Collegie ter Admiraliteit in Westvriesland en het Noorder Quartier
versogte tweede Negociatie van 6ococo guldens ter voldoening hunner
agterstallen;volgende de voorszResolutie hierna geinsereert.</p>
        <p>DE Heeren Gedeputeerden van de Provincie van &lt;PROVINCE&gt;, hebben ter
Vergaderinge ingebragt en laaten leesen de Resolutie van de Heeren Staaten van
hooggemeldeProvincie hunne Principaalen, waar by hoogstdeselve alsnog
deelareeren, het Corys van den Rhyngrave van Salm met den 7 Mey laatstleeden, te
houden voor afgedankt, soo nogtans, dat aan het selve nog zullen worden
betaald twee maanden Soldye, ingaande met den 7 Mey en 18 Junvv;olgende de
voorschreeveResolutie hierna geinsereert.</p>
        <p>DE Heeren Gedeputeerden van de Provincien van &lt;PROVINCE&gt; en van
&lt;PROVINCE&gt;, hebben ter Vergaderingeingebragt en laaten leesen de Resolutien
van de Heeren Staaten van hooggemeldeProvincien hunne Principaalen, waar bv
hoogstdeselve sig conformeeten met het Rapport den 24 Augusty laatstleeden
alhier ter Vergaderinge uitgebragt, over het getal der Leeden, dewelke souden dienen
te worden benoemt in de bekende saak der niet geexccuteerde Expeditie na Brest;
volgende de voorschreeveResolutie hierna geinsereert.</p>
      </sec>
      <sec id="sec-12-4">
        <title>Template type: Extract from resolution register.</title>
      </sec>
      <sec id="sec-12-5">
        <title>Extractuyt het RegisterderResolutien van Ridderschap en Steeden de Staaten van &lt;PROVINCE&gt;.</title>
      </sec>
      <sec id="sec-12-6">
        <title>Extractuit het RegisterderResolutien van Ridderschap en Steeden de Staaten van &lt;PROVINCE&gt;.</title>
      </sec>
      <sec id="sec-12-7">
        <title>Extractuyt het RegisterderResolutien van Ridderschap en Steeden de Staaten van &lt;PROVINCE&gt;.</title>
      </sec>
      <sec id="sec-12-8">
        <title>Extract uit het Register van de Resolutien derHeeren Staaten van &lt;PROVINCE&gt;.</title>
      </sec>
    </sec>
  </body>
  <back>
    <ref-list>
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