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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Recognising Intertextuality in the Digital Corpus of Finnic Oral Poetry: Experiment with the Sampo Cycle</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Kati Kallio</string-name>
          <email>kati.kallio@helsinki.fi</email>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Maciej Janicki</string-name>
          <email>maciej.janicki@helsinki.fi</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Eetu Mäkelä</string-name>
          <email>eetu.makela@helsinki.fi</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mari Sarv</string-name>
          <email>mari@haldjas.folklore.ee</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Estonian Folklore Archives</institution>
          ,
          <addr-line>Tartu</addr-line>
          ,
          <country country="EE">Estonia</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Finnish Literature Society</institution>
          ,
          <addr-line>Helsinki</addr-line>
          ,
          <country country="FI">Finland</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Helsinki</institution>
          ,
          <addr-line>Helsinki</addr-line>
          ,
          <country country="FI">Finland</country>
        </aff>
      </contrib-group>
      <fpage>279</fpage>
      <lpage>287</lpage>
      <abstract>
        <p>While digital corpora have enabled new perspectives into the variation and continuums of human communication, they often pose problems related to implicit biases of the data and the limited reach of current methods in recognising similarity in linguistically complex data, especially in small languages. The digital corpus of historical Finnic oral poetry in alliterative tetrametre is characterised by significant poetic, linguistic and orthographic variation. At the extreme, a word may be written in hundreds of different ways. The current corpus comprises 189,189 poetic texts in six Finnic languages (Karelian, Ingrian, Votic, Estonian, Seto and Finnish) recorded in 1564-1957 by 5,287 recorders. It has a long curation history and significant bias towards some genres, poetic forms and regions that collectors have preferred. In this poetic tradition, an idea is typically expressed with several parallel, partly alternative poetic lines or motifs, and similar verse types may be used in different contexts. A manual attempt to find all the occurrences of widely used expressions or motifs in the corpus is an unattainable task. While the digital tools-starting from simple queries to more advanced methods-make it possible to aim at wider intertextual analyses, some part of relevant material is typically not reached. Thus, it becomes central to estimate the amount and quality of the relevant data that is not recognised with different methods. Here, we discuss two strategies for mapping intertextuality in the corpus: 1) proceeding with text queries and 2) recognising similar poetic lines computationally, based on string similarity. We compare these approaches with one another, and then proceed to compare the results they yield with the existing type index and the results of manual early 20th-century research. While the methodological and theoretical foundations of this type of research no longer hold, and while our further interest lies in the intertextuality and variation rather than in the problematic concept of poem types, parts of earlier analyses may be used in evaluating the performance of digital approaches.</p>
      </abstract>
      <kwd-group>
        <kwd>1 Intertextuality</kwd>
        <kwd>variation</kwd>
        <kwd>similarity recognition</kwd>
        <kwd>text reuse</kwd>
        <kwd>oral poetry</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Variation is a key element of the oral tradition and human communication at large. Aiming to tackle
and understand the concept when arranging and analysing the sources at a time prior to digitalisation,
researchers in folklore studies have utilised several tools: notes, lists and records of genres in the
manuscripts, classification of songs and stories into card files, systematized source publications,
typologies and indices, various kinds of punch cards, manual tables and statistics. Despite the ardent
critique of the theoretical base of earlier research that has produced systematised datasets and indices
in large quantities[
        <xref ref-type="bibr" rid="ref1 ref2">1,2</xref>
        ], many of the earlier results are useful when dealing with large volumes of
material. Currently, researchers using the digital corpus of Finnic oral poetry either in public databases
or in our Octavo interface often rely on word queries and existing type indices.
      </p>
      <p>
        In this article, we use pre-existing type index called SKVR index and older research as a point of
comparison and a way to test and develop computational methodologies to query and analyse
intertextuality in the corpus of Finnic oral poetry. We concentrate on the Karelian cycle of poems called
the Sampo Cycle, which is one of the most analysed parts of Finnic oral poetry. The parts of the cycle
about the mythical object sampo itself are not known from Estonia or Ingria, although e.g. the forging
of a golden maiden typical to the Karelian cycle was known also there [
        <xref ref-type="bibr" rid="ref3 ref4">3,4</xref>
        ].
      </p>
      <p>
        Our aim is to analyse not only how our tools Octavo and Runoregi serve in identifying complex
intertextuality, but also the principles the present SKVR index uses in identifying the Sampo epic,
helping us to assess its usefulness. Due to the notable linguistic and poetic variation of the data of Finnic
oral poetry [
        <xref ref-type="bibr" rid="ref5 ref6 ref7">5–7</xref>
        ], standard natural language processing methods are difficult to implement; thus, in this
article, we restrict the discussion first to text queries and then to similarity recognition.
      </p>
    </sec>
    <sec id="sec-2">
      <title>2. Corpus of Finnic oral poetry and the Sampo Cycle</title>
      <p>
        The Finnic oral tradition, called runosongs, regilaul or Kalevalaic poetry, consists of various genres
in several related languages using one poetic idiom, which has both local variations and features shared
across the Finnic area. Due to historical, national and scholarly reasons, this tradition was documented
extensively, mostly during the 19th and early 20th century [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ].
      </p>
      <p>
        Scholars were most interested in genres they thought were the most ancient and culturally important:
heroic epics and long mythological charms. The Karelian Sampo Cycle was considered one of the most
important among these. Sampo is a mythical object forged by the heavenly smith Ilmarinen. The core
story consists of several parts. A typical long performance of the story in Archangel Karelia may begin
with the Creation of the World and the Shooting of Väinämöinen, continue with the Forging of the
Sampo, and the Creation of the Kantele-instrument, often ending with the Theft of the Sampo. These
may aggregate in various ways with one another and with other narratives or occur separately [
        <xref ref-type="bibr" rid="ref10 ref11 ref4 ref9">4,9–11</xref>
        ].
In the SKVR index, these appear as poem types of their own (see Fig. 3 below).
      </p>
      <p>
        Currently, the Estonian runosong database ERAB contains 100,034 texts [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ] and the Finnish SKVR
database 89,247 texts [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ]; in addition, there are other digital and archival collections. SKVR is a
digitized scholarly edition originally published in 1908–1948 and 1997, whereas ERAB consists of
texts from the archival card files, revised according to the original manuscripts and normalized by
spelling. While both corpora are rich in poetic, dialectal and morphological variation, SKVR is more
diverse linguistically and orthographically. Some recurrent long words, such as Väinämöinen, may be
written in over 300 different ways. The historical poetic idiom in small, related languages of our data
does not have ready-made parsers or even encompassing dictionaries—the dictionaries of Estonian and
Finnish dialects are in progress, of Seto and Karelian available in digital form, and of Votic and Ingrian
in printed form; typically, these do not cover all the words, let alone word forms used in the poetic data.
At the moment, our research database combines these two corpora, consisting of 189,189 poetic texts
with more than 10 million words, exhibiting around 1 million different word forms.
      </p>
      <p>In oral tradition, the amount and nature of variation itself typically varies according to tradition,
region, genre, individual competence, performance situation and the intention of the performance.
Variation takes place at multiple levels: a word may have been pronounced or transcribed in various
ways, it may be used in various conventional collocations or verse types, and these may form various
kinds of motifs that are used to build wider story patterns. Some stories and expressions may remain
quite similar from performance to performance, while others are modified or used as parts of new
narratives. Regularly, the collocations, motifs and story types of oral tradition do not have clear-cut
borders.</p>
    </sec>
    <sec id="sec-3">
      <title>3. Obtaining a corpus with text queries in Octavo</title>
      <p>
        Octavo is a search interface that makes use of text and metadata queries and was developed by Eetu
Mäkelä to support humanities and social science research based on combinations of large, varied and
‘noisy’ text corpora along with attendant metadata (see further [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]). In folkloristic use, its benefits are
the possibilities to use either very simple or sophisticated queries to define the amount of text and
metadata shown in the query results and sort the results. It also allows researchers to choose the needed
items for further examination and link the results to the original database entries but also to the Runoregi
interface, which helps the researcher to identify and compare similar lines and texts across the corpus.
The word runoregi is a metaphorical expression “a sledge for poems” in Karelian language but can also
be understood as a combination of the name of this poetic genre in Finnish and Karelian (runolaulu)
and in Estonian (regilaul). Both Octavo and Runoregi make use of some basic normalisation rules,
helping to overcome part of the orthographic and linguistic variation. Currently, Octavo is also used
among researchers outside our project (see [
        <xref ref-type="bibr" rid="ref14 ref15 ref7">7,14,15</xref>
        ]).
      </p>
      <p>
        Gathering a type, motif or theme-based sub-corpus of Finnic oral poetry in Octavo for further
analysis may include chain-like searches that make use of variants of key terms, recurring collocations
(formulas), synonyms, parallel expressions and metadata. The process is highly dependent on the user’s
linguistic competence and prior knowledge of the characteristics of Finnic oral poetry. Using text
queries, an essential issue is to evaluate their reach. Previously, we compared the analysis made with
Octavo of relations of one text to a wider corpus to earlier research using the printed corpus [
        <xref ref-type="bibr" rid="ref16 ref17">16,17</xref>
        ].
      </p>
      <p>In the present paper, we examine the available tools that allow a researcher (here Kallio) to identify
wider intertextual networks or motifs and poetic types, starting from one central concept, ‘sampo the
(mythical) object’. The search began with simple word queries and close readings of certain texts in
order to identify the variation of storylines, word forms and parallel expressions relating to sampo, then
continued to map the possible term variants used for the object.</p>
      <p>Sampo is typically forged out of impossible ingredients by the smith Ilmarinen while proposing to
the maiden of the North. The mistress of the North ties sampo into a stony hill, but it gets stolen. She
sets after the robbers. They cause her boat run into the rocks. She makes herself a giant bird able to
carry hundreds of men, takes hold of the sampo, and the object breaks or falls into the sea. In the data,
the only recurrent parallel expression for sampo, often interpreted as a part of it, is kirjokansi, ‘a
multicolored/marked/ornamented cover’ (see also [10, p. 204]).</p>
      <p>The word sampo varies greatly, and some of its forms and variants are homonymous with other
words. This means a purely computational, distant reading method using the most common variants
would go astray. Searching for relevant word forms manually is a slow and tedious process that requires
much close reading—proceeding from one word form to others, using more stable word beginnings
(prefix queries, e.g., Octavo query: samp*) and allowing one or two of the characters of the word to
change (edit distance-based queries, e.g. samppu~2).</p>
      <p>
        Overall, the process meant generating and going through 1,441 different word forms and their
various uses. This took three workdays, whereas making sense of the parallel expression kirjokansi took
about one hour. This is mostly explained by three factors: 1) sampo is a short word taking dozens of
poetic, dialectal and morphological forms (sammoñ, samppuo, sammuo, šambi, sammen etc.); 2) these
overlap and sometimes merge with other similar sounding words (the variants of sammas-samba, ‘a
pilliar’, sammas, ‘Candidiasis or some other disease of mouth’, sampi, ‘strurgeon’,
samppia-samposammakko, ‘a frog’, sampsua, ‘to call’, sampsikko-sämpsikkö, ‘a species of wide hay’,
sampsukkasimpsukka, ‘a pearl’, sam(m)ota, ‘to roam’, sammoin–samoin, ‘similarly’, sammua ‘to fade’); and 3)
the word itself is used to mean different things. Both the original singers and the researchers have had
several potential and conflicting interpretations about the sampo: Is it a metaphor for abundance and
wealth, a magical mill, a pillar supporting the sky and the whole world, a chest full of treasures or game,
a boat or something else? (See [
        <xref ref-type="bibr" rid="ref10 ref11 ref9">9–11</xref>
        ]). This debate is explained in part by the polysemic nature of the
word sampo and the varying character of the Sampo Cycle in Karelian 19th century oral culture. The
large field of variations and overlaps also make it impossible to make any simple word-level query that
would produce only the word forms used in the sense of ‘sampo the (mythical) object’.
      </p>
      <p>In contrast, kirjokansi (kirjo-kanzi, kirjakañsi, kirjoikantta, etc.) is a longer compound word varying
less and not overlapping with other words, although it has various potential or explicit meanings: ‘the
sky’, ‘a book cover’, ‘a multicolored/ornamented cover/lid/chest /casket’, ‘something parallel to or
describing sampo’. It is used in more limited contexts, but also in contexts other than those relating to
sampo.</p>
      <p>The final list of relevant word forms includes 53 word forms for sampo and 23 for kirjokansi,
resulting in 233 texts in the data, only 161 of which actually use the terms sampo (144) or kirjokansi
(76) in the sense of a (mythical) object.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Recognising similarities in Runoregi</title>
      <p>
        Runoregi interface by Maciej Janicki [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] is designed to recognize similarity between poetic lines,
passages and entire texts. It employs a representation of poetic lines as vectors of character bigrams, so
that the cosine similarity of such vectors approximates the similarity of the lines in terms of content
words, while being robust to some orthographic and linguistic variation. In order to recognize sets of
equivalent lines, it uses the Chinese Whispers clustering algorithm [
        <xref ref-type="bibr" rid="ref18">18</xref>
        ] with the bigram-based
similarities as weights. Chinese Whispers is randomized, meaning it may produce slightly different
clusterings on every run.
      </p>
      <p>
        At its present state, Runoregi offers several possibilities to explore the intertextual relationships in
the corpus, starting from one poem, passage or verse. Every poem is presented with a list of similar
poems, and every verse provides access to a cluster of similar verses (see [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] for a general introduction).
In addition to these automatically computed similarities, the interface also allows access to poems via
the Finnish SKVR and Estonian ERAB type indices and other available metadata. The bigram-based
similarity metric used by Runoregi reliably identifies similar texts in linguistically and poetically close
regions. However, the linguistic border between Northern and Southern Finnic languages still poses a
challenge due to the differences in language, orthography and the tradition itself: similar poetic lines in
Northern and Southern Finnic languages tend to contain lower amounts of shared character bigrams
and the overall amount of similar lines is lower.
      </p>
      <p>The functionalities of the Runoregi are useful for examining a defined set of poems, looking for
close counterparts to one poem or passage or trying to understand the scale of variation one poetic line
or formula may take in the wider corpus. The verse clusters typically contain poetic, morphological or
orthographical variants even a competent researcher would not be able to come up with. Yet, it is not
yet easy to keep a record and understand the reach of what is found in Runoregi: solving this will enable
the user to retrieve sub-corpora for further analysis more quickly and extensively than with Octavo. As
a first step, to give the user a wider view on the verse level variation, the recognised similarities between
verses that do not end up in one cluster are now presented as ‘neighbouring clusters’ (Fig. 1, left).</p>
      <p>In the Forging of the Sampo, one of the recurring key verses is ‘päivät sampuo takovi’, or ‘the days
[he] is forging the sampo’, in different variants. The cluster including this verse form has 22 variants of
the verse and links to three smaller neighbouring clusters, which provides links to some new clusters,
with the final result being eight clusters and 42 verses (Fig. 2). The only line containing a word variant
not obtained by the previous Octavo queries is ‘Päivät tammia takovi’ or ‘the days [he] is forging an
oak’—this might be a mistake by the transcriber (tammia–sammia). In other cases, the neighbouring
clusters may give other than the wanted verse types. For example, the cluster containing variants of the
verse ‘Kirjokantta kirjuttauvi’ or ‘[he] is ornamenting the ornamented cover’ provides links to
neighbouring clusters containing verses about taking the ornamented cover (‘Kirjokantta ottamaha’),
ornamenting an axe handle (‘Kirvesvartta kirjottavi’), and writing in a book (‘kirjoihinsa kirjottavat’),
only the first one of these actually appearing in the Sampo Cycle. This means that the neighbouring
clusters cannot be used in an automated way. Yet, they help a lot in finding dialectal or nearby variants.</p>
      <p>The original idea of the present article was to try to retrieve similar sub-corpora with Octavo and
Runoregi and then compare these. As it became evident that the functionalities of the Runoregi are not
yet optimal for this kind of a task, the task was re-calibrated to retrieving a corpus in Octavo and
analysing it with the help of Runoregi, and then comparing these processes to earlier research.</p>
      <p>With Octavo, a single keyword and its parallel expression do not enable finding all the instances of
a particular motif, let alone a theme or story—and not all the uses of them necessarily relate to the story.
Indeed, part of the retrieved texts relate not to the Sampo Cycle proper but to sampo in other contexts,
such as referring to the bride as a sampo (‘wealth-producing mythical object’) in wedding poems. The
references using a whole line formula similar to the corresponding line type in the Sampo Cycle are
easier to find with Runoregi than with Octavo, but keywords embedded in different line types are not.
Furthermore, there are poems that represent some part or fragment of the Sampo Cycle without using
the word for the mythical object or the key motifs. These are easier to find with Runoregi matrix view
(Fig. 1, right) than with Octavo.</p>
      <p>In checking the results obtained with Octavo in Runoregi, the biggest surprise was the number of
duplicates in the data. This was identified using the ‘shared verses matrix’ visualisation, which marks
occurrences of similar (same-cluster) verses in other texts so that wider similar passages can be
identified (Fig. 1, right). At the extremes, parts of one text in the archives may have been published as
six different texts that partly overlapped one another. This is due to the structure of the original book
volumes organized by poem type. If a text was understood to contain several poem types, its parts were
published in several places. Evidently, these duplicates may distort attempts to examine the corpus with
quantitative views or map projections; thus, they need to be solved for further analyses.</p>
      <p>Search processes with Octavo and Runoregi reveal different aspects of the Sampo Cycle and the
corpus. Thus, using Octavo to check the results obtained with Runoregi and Runoregi to complement
the Octavo queries helps improve and estimate the reach of the obtained corpus. Once the Runoregi will
include an option to more easily pick and set aside a set of relevant poems for further analysis while
moving in the network of similar lines, passages and poems, it will enable gathering a sub-corpus more
quickly than by word queries in Octavo.</p>
    </sec>
    <sec id="sec-5">
      <title>5. SKVR index</title>
      <p>The Octavo query-based corpus of the variants of the word sampo is not meant to be a complete set
of texts relating to the Sampo Cycle. Nevertheless, testing this corpus in Runoregi and then comparing
it to the present SKVR index highlights some issues relevant to challenges and possibilities in both
distant and close readings of the corpus.</p>
      <p>
        Any oral culture is a complex web of intertextual ties where similarity may take place at various
levels, in various directions and in various quantities. There is a long and critical folkloristic discussion
about the concepts of type and genre, the various potential criteria for determining these, problems with
complex intertextuality, blurring of categories and the overall impossibility of creating any
unambiguous or universal categorisations for wider sets of folklore (e.g. [
        <xref ref-type="bibr" rid="ref19">19</xref>
        ]). At the same time, some
kind of classification and systematisation is needed, especially when dealing with large collections of
texts, in order to understand the variation and fluctuations of folkloric communication in terms of
centrality and marginality, on the one hand, and stability and creativity, on the other.
      </p>
      <p>Both the Finnish and the Estonian corpora have type indices made along slightly different principles.
In the present SKVR index, these principles also vary within the index itself. Thus, the index of narrative
songs mostly follows the classification of the original book series (1908–1948), the charms are indexed
along the functions and purposes of the texts rather than text types, and the lyric songs are analysed at
the level of quite small motifs. The creation of the index started in the 1980s, and most of the work was
done before the acquisition of the digitised data currently in use. Just having the data in digital form
transforms the possibilities to understand the variation at the level of words, recurring expressions
(formulas) and lines.</p>
      <p>
        The Octavo word query corpus includes 161 texts, while the SKVR index gives 222 texts relating
to the poem types Forging of the Sampo (109 texts) and the Theft of the Sampo (176 texts); 63 texts
have both titles. The retrieved corpus included 39 texts that were not indicated with these titles in the
index. In these cases, a poem may contain only a short passage mentioning sampo or use the concept
of sampo in some broader proverbial or figurative sense relating to wealth or abundance (e.g. the bride
or kantele-instrument referred to as sampo, or the bridal chest labelled as as kirjokansi). These
occurrences help define the various conceptualisations and poetic uses of the sampo in 19th-century
oral culture (see [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]), and even the historical layers of the concept (see [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]) but do not tell much about
the story of the sampo itself. They are relevant, but not parts of the epic cycle about the mythical object.
      </p>
      <p>The SKVR index includes 100 texts that were not captured with the word queries. Most of these are
shorter fragments, not including the variants of the explicit key words. In quite many of these cases, it
is not evident that the fragment should be understood as a part of the Sampo Cycle rather than a short
charm or wedding song just referring to or reminding of the cycle. There are also some rare word
variants (sämpy and saima, 3 texts) and one substitution (tammi ‘oak’, 1 text) of the word sampo that
were not recognised. Finding these texts would require combing through the longer poems line by line
with word queries in Octavo or, in a quicker process, using the verse matrix view and neighbouring
clusters view in Runoregi.</p>
      <p>The SKVR index is quite consistent with the most typical and explicit cases and long poems, but not
so much with fragments and more hybrid texts. Irregularities seem to partly derive from the original
volume indices, which were compiled by different editors using different principles for indexing. In
addition, the short passages and fragments are difficult to evaluate using only the manual corpus.
Indeed, Senni Timonen, who led the making of the current SKVR index, emphasised in oral
communication that the index should be treated simply as a tool that helps researchers find parts of the
relevant corpus for further analysis.</p>
    </sec>
    <sec id="sec-6">
      <title>6. Comparison with earlier research</title>
      <p>
        The most detailed analysis of the Karelian Sampo Cycle and adjacent poems was published by Matti
Kuusi in 1949 [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. He read through the Karelian and Finnish parts of the SKVR series, selected a corpus
of 744 poems with 41,762 verses, and conducted a complex manual analysis of recurring patterns at
different levels of the cycle, also choosing a set of 6,000 verses for further analysis of poetic metre.
Later scholarly analyses, even though they are conducted from very different methodological and
theoretical premises, mostly rely on Kuusi’s detailed descriptions and classifications of the data and
concentrate on a more limited regional corpus.
      </p>
      <p>The differences between the 164 poems containing variants of sampo or kirjokansi, the 222 poems
noted in the SKVR index and the 744 poems used in the most comprehensible earlier study adequately
demonstrate the ways both the research questions and query parameters affect the acquired corpus.
Word form queries leave out fragments and some atypical variants; on the other hand, they reveal some
intertextual references to the sampo in other poem types, and the index provides a relevant but imperfect
corpus for further analysis. Kuusi includes larger body of various poems having some relation to or
sharing some key motifs with the Sampo Cycle. These kinds of variations are easy to find with the
Runoregi matrix view. Actually, a detailed analysis of the wide intertextual relationships of the varying
motifs, verse types and formulas used in the Sampo Cycle would clearly exceed the material analysed
by Kuusi. At the time of manual research, it was not possible to find all the instances of a particular
verse type in the corpus of this size, and the researchers did not deem common overall formulas
interesting. For example, the variants of the recurrent verse type in the Sampo Cycle ‘Vaka vanha
Väinämöinen’ or ‘the steady old Väinämöinen” form the biggest verse cluster in Runoregi with 4558
verses, casting an intertextual network across poem types in various genres.</p>
      <p>Trying to form a more complete corpus of the whole Sampo Cycle with Octavo or Runoregi, the
next step would be to analyse which motifs and themes in the retrieved poems closely relate to the story
of sampo itself (instead of just aggregating with it) and search for similar elements in the corpus. Yet,
due to the complex and extremely varying and aggregating character of the Sampo Cycle as a whole,
this kind of analysis gets quite interpretive.</p>
      <p>The Karelian singers themselves did not have a concept of the Sampo Cycle similar to what has been
used by the researchers and in the SKVR index but they had varying local and situational conventions
of combining stories and motifs into performances, and habits of referring to other stories and genres
while singing a song or reciting a charm. Indeed, the present test also demonstrates how subjective and
research-specific it is to define the Sampo Cycle. What motifs should be understood as central to the
cycle, and when should short text fragments be interpreted as belonging versus referring to the cycle?</p>
    </sec>
    <sec id="sec-7">
      <title>7. Discussion</title>
      <p>Examining and comparing the present tools Octavo and Runoregi demonstrates the benefits of
having several methods to access the data of Finnic oral poetry, each tool producing a different,
complimentary view that helps to assess the coverage of the results.</p>
      <p>
        Retrieving a corpus related to a particular concept (e.g. forest, see [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]) is something researchers of
Finnic oral poetry often need. This approach is made easier by digital interfaces but requires time for
cross checking and close reading the data. Due to the variation of word forms and motifs and the use of
synonyms, metaphors, metonyms and other poetic expressions, the chosen queries may only cover a
fraction of the potential data, and it is difficult to estimate whether all the significant sections of the
data are reached. On the other hand, homonymous word forms often add irrelevant results to the results
of word queries.
      </p>
      <p>The text queries with the variants of the key terms (Octavo) only cover the most evident part of the
intertextual network relating to some key motifs of the Sampo Cycle. Finding relevant but more
fragmentary or partial poems requires identifying a wider set of recurrent motifs, verse types and
collocations typical to the cycle. Depending on the character of the terms used in the process, word
form variation and polysemy may mean that obtaining and interpreting the results require a significant
amount of close reading.</p>
      <p>The verse similarity recognition based on algorithmic clustering of bigram vectors (Runoregi) often
reveals word forms, substitutions and parallel expressions that are not easily found in direct text queries.
The rough and quick identification of similar texts and passages helps in understanding how the parts
of a chosen text may appear in other poetic contexts. These methods also help identify problems and
biases in the data, such as unexpected duplicates. Yet, at the present state of the Runoregi interface, it
is difficult to quickly analyse wider, versatile subject areas such as the Sampo Cycle, or proceed from
line or text to another in order to gather a large sub-corpus.</p>
      <p>Earlier research and indices give a view on how some motifs and types have been interpreted in
manual analysis based on close reading and manual analysis. These may help in gathering a relevant
corpus but need careful analysis rather than being just used as an easy basis for new quantitative views
or visualizations.</p>
    </sec>
    <sec id="sec-8">
      <title>8. Acknowledgements</title>
      <p>The research was funded by the Academy of Finland projects 333138 and 346342 and the Estonian
Research Council project (PRG1288).</p>
    </sec>
    <sec id="sec-9">
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