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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>A Dependency Treebank for Buryat</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>@gmail.com</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Francis M. Tyers Giela ja kultuvrra instituhtta UiT Norgga árktalaš universitehta Romsa</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p>There has been little research on natural-language processing of Buryat, in part due to the absence of language resources. In this article we present the first syntactic treebank for Buryat. It is an evolving project based on the Universal Dependencies (UD) annotation guidelines. We report on the procedure of constructing the treebank and explain some features of the labelling scheme with respect to linguistic phenomena in Buryat. The annotation of 919 sentences was done manually from scratch without using any automatic labelling tools. We evaluate the performance of various language models with UDPipe and describe the plans for future work.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1 Introduction</title>
      <p>
        In this article we present the first publicly available treebank for Buryat, the second
official and national language of the Republic of Buryatia, located within Russia
in Southern Siberia. According to UNESCO report, Buryat is considered to be
an endangered language and at risk to disappearing
        <xref ref-type="bibr" rid="ref8">(Skribnik, 2006)</xref>
        . Even though
Buryat is reported to be one of the most investigated Mongolic languages
        <xref ref-type="bibr" rid="ref8">(Skribnik,
2006)</xref>
        , comparably little computational linguistic research has been maintained for
it. To our knowledge, among the Mongolic languages only Inner Mongolian has a
treebank (Loglo et al., 2014).
      </p>
      <p>
        Although there are no computational tools, Buryat possesses an extensive range
of written-language data, it is the only language in Siberia which has its own
historical records and there are regularly published Buryat newspapers, journals, books,
films, television and radio programmes. The development of language technologies
for Buryat is an essential step towards its revitalisation and documentation
        <xref ref-type="bibr" rid="ref1 ref7">(Badagarov et al., 2016)</xref>
        . To this end, we report on our efforts to build the first Buryat
dependency treebank following the guidelines of Universal Dependencies (UD), a
cross-lingual treebank annotation project
        <xref ref-type="bibr" rid="ref7">(Nivre et al., 2016)</xref>
        . We chose the UD
scheme for the annotation as it provides ready-made recommendations on which
to base annotation guidelines. This reduces the amount of time needed to develop
bespoke annotation guidelines for a given language as where the existing universal
guidelines are adequate they can be imported wholesale into the language-specific
guidelines.
      </p>
      <p>The remainder of the paper is organised as follows. Section 2 gives some
background typological information on Buryat. Then section 3 gives an overview of the
corpus used for the treebank and how the annotation was done. Section 4 discusses
some features of Buryat and how they were dealt with in the annotation guidelines.
Furthermore, in section 5 we report preliminary parsing experiments for Buryat
using the state-of-the-art NLP pipeline UDPipe. We test different combinations of
features. In section 6 we present a summary and suggest avenues for future research
and development.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Buryat</title>
      <p>
        Buryat (in Buryat Буряад хэлэн) is a Mongolic language spoken by the Buryats
        <xref ref-type="bibr" rid="ref8">(Skribnik, 2006)</xref>
        . The greater part of Buryat population live in the Buryat Republic
which is located in the southern part of Siberia around Lake Baikal. According
to the census of 2010, there are about 461,389 Buryat people in Russia (Росстат,
2010). Like the other languages of the Mongolic group Buryat is an agglutinative
language with Subject-Object-Verb constituent order
        <xref ref-type="bibr" rid="ref3 ref8">(Fuss, 2005; Skribnik, 2006)</xref>
        .
However unlike Khalkh Mongolian, Buryat has verbal agreement with the subject.
Example 1 is a sentence in Buryat showing SOV word order features.
(1) Буряад зон бултадаа Байгал далайда дуратай.
      </p>
      <p>Buryat people all Baikal lake love.</p>
      <p>‘All Buryat people love lake Baikal .’</p>
      <p>
        There are five main dialect groups of Buryat, but the literary standard is based
on the Khori dialect group, spoken to the east of Lake Baikal. This is the dialect
group with the greatest number of speakers
        <xref ref-type="bibr" rid="ref8">(Skribnik, 2006)</xref>
        .
      </p>
      <p>Buryat has seven cases, and two numbers. Nominative case and singular
number are unmarked. There are a large number of non-finite verb forms (both
participles and verbal adverbs) which are used for clause-level subordination and
forming relative clauses.
3</p>
    </sec>
    <sec id="sec-3">
      <title>Corpus</title>
      <p>
        Currently the Buryat treebank consists of 919 annotated dependency trees and 10,146
tokens. The annotation was made using Brat, an online tool for text annotation
        <xref ref-type="bibr" rid="ref9">(Stenetorp et al., 2012)</xref>
        . The total amount of time spent on the creation of the
treebank was nine months. This involved two people, one annotator and one supervisor.
The process including the following steps: review of the relevant literature,
discussion, consultation with experts on Buryat linguistics and contributors to the UD
project, annotation, correction, and lemmatisation. The annotation process itself
was done by the first author over a period of three months.
      </p>
      <sec id="sec-3-1">
        <title>Source</title>
        <p>udtwenty
wikipedia
proverbs
buryad-unen
translation</p>
      </sec>
      <sec id="sec-3-2">
        <title>Total:</title>
      </sec>
      <sec id="sec-3-3">
        <title>Domain</title>
        <p>Grammar
Encyclopaedic
Proverbs
Newspaper
Grammar</p>
      </sec>
      <sec id="sec-3-4">
        <title>Sentences</title>
      </sec>
      <sec id="sec-3-5">
        <title>Tokens Avg. length</title>
        <p>
          Statistics about the corpus can be found in Table 1. The text source udtwenty
consists of 20 sentences illustrating different grammatical features available through
the UD project. The wikipedia text source consists of sentences extracted from the
Buryat Wikipedia. Given their public domain status, we also included three Buryat
proverbs from the proverbs source. Finally, after we were given permission to
redistribute them under a free licence, we included articles from the newspaper
Buryaad Ünen and some translations of example sentences from the Technical
Report Syntax Annotation Guidelines for the Turku Dependency Treebank
          <xref ref-type="bibr" rid="ref4">(Haverinen, 2012)</xref>
          .
        </p>
        <p>Having translated text as such a large portion of the treebank has three
motivations. The first is that we aim to expand the treebank with more sentences from
different domains of Buryat, so this percentage will decrease with time. The second
is that we wanted to cover a wide range of syntactic structures, and the third is that
we wanted to include translated text as a domain in itself.
3.1</p>
        <sec id="sec-3-5-1">
          <title>Preprocessing and lemmatisation</title>
          <p>Before annotating in the brat tool, the corpus was preprocessed and manually
tokenised. Tokenisation was on space after splitting punctuation characters. The
automatic tokenisation for each sentence was fixed manually before the sentence
was annotated.</p>
          <p>In order to add lemmas to the corpus, we created a lookup table of tuples
(surface form, part-of-speech) to lemma. For example:
(харандаашууд, noun)
(pencils, noun)
!
!
харандааш
pencil</p>
          <p>We then applied this lookup table to the corpus deterministically, for each
(surface form, part-of-speech) pair inserting the lemma found in the lookup table. We
discovered no ambiguity in lemmatisation. The lookup table is available online
under a free/open-source licence.1
4</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>Annotation guidelines</title>
      <p>
        The annotation guidelines for Buryat were based on Universal Dependencies
        <xref ref-type="bibr" rid="ref7">(Nivre
et al., 2016)</xref>
        . This is an international collaborative project to make cross-linguistically
consistent treebanks available for a wide variety of languages. In the UD
annotation scheme, to improve cross-linguistic compatibility, dependency relations are
primarily between content words, with function words attaching as leaf nodes. The
motivation for this is that content words are more stable between languages, while
languages can vary with how e.g. cases are used as opposed to adpositions, and
analytic versus synthetic tense constructions. Thus, in auxiliary–main verb
constructions, the main verb is the head and the auxiliary is attached as a dependent, if
there is more than one auxiliary they are attached as siblings as opposed to a nested
structure. In adpositional phrases, the complement of the adposition is the head and
the adposition itself is a dependent attached with the case relation.
      </p>
      <p>
        In the following subsections we describe some examples from the Buryat
treebank, making emphasis on the most relevant and more typologically interesting
aspects. Thus, for reasons of space, we have omitted a discussion of finite-verbs in
simple clauses as they function more or less as one may expect. Further information
on the annotation guidelines can be found in
        <xref ref-type="bibr" rid="ref2">Badmaeva, (2016)</xref>
        .
4.1
      </p>
      <sec id="sec-4-1">
        <title>Core and oblique nominals</title>
        <p>As previously mentioned, Buryat has seven cases: Nominative, accusative,
genitive, dative,footnoteThe dative case in Buryat has double use as dative and locative.
It is sometimes referred to as dative/locative, but in our work we refer to it simply
as dative. ablative, instrumental and possessive. All of these apart from nominative
are marked with suffix morphology.</p>
        <p>The first two can be considered core cases. They have the following syntactic
functions: The nominative case is used for the subject and the non-specific direct
object of a simple clause. The overt accusative suffix is used for a specific direct
object. Regardless of the case used the subject depends on the verb with the label
nsubj and the direct object depends on the verb with the label dobj (see Figure 1).</p>
        <p>The oblique cases are the dative, ablative, instrumental. The dative and ablative
are locational cases used for both spatial and temporal meanings. In addition the
dative is used in some non-verbal predicate constructions (see section 4.3) and as the
case of the actor in passive constructions, and the ablative is used as the referent
of comparison. In all cases these are marked with the nmod label, and when the
locative is used to indicate possessor it is marked with nmod:own.</p>
        <p>1https://svn.code.sf.net/p/apertium/svn/incubator/apertium-bua/dev/lexicon.
bxr.tsv
Би
pron
Case=Nom</p>
        <p>I
nsubj
морин
noun
Case=Nom
a horse
dobj</p>
        <p>root
харанаб
verb
see
Би
pron
Case=Nom</p>
        <p>I</p>
        <p>root
nsubj</p>
        <p>dobj
мориие</p>
        <p>noun
Case=Acc
the horse
харанаб
verb
see
(a) Non-specified direct object
(b) Specified direct object</p>
        <p>When formed from animate nouns the instrumental indicates the active
participation of a second participant in the action, while when formed from inanimate
nouns it can indicate use of a tool, means of transport, time period, etc. In both of
these it receives the label nmod.</p>
        <p>The genitive case expresses various kinds of adnominal attribution. Genitive
modifiers precede their heads. Nouns in the genitive case depend on the nominal
they modify and receive the label nmod. The possessive case may be used both
adverbially, where it denotes accompaniment, and adnominally where it denotes
simple possession. In both cases it receives the label nmod
4.2</p>
      </sec>
      <sec id="sec-4-2">
        <title>Numeral expressions</title>
        <p>Numerals have a regular case paradigm and can be used attributively, adverbially
and predicatively. When used attributively to indicate quantity then they receive
the label nummod, when used adverbially to indicate a number of times they receive
the label advmod and when used predicatively in an equative construction they are
the root of the sentence.</p>
        <p>root
root
nsubj
nummod
dobj
nsubj
nmod
advmod
Би
pron
Case=Nom</p>
        <p>I
дүрбэн моринүүдые харанаб
num noun verb</p>
        <p>Case=Acc
four the horses see
Би Улаан-Үдэ дурбэ ошобо
pron propn num verb
Case=Nom Case=Dat</p>
        <p>I Ulan-Ude four times visited
(a) Numeral expressing quantity
(b) Adverbial numeral use</p>
        <p>There are a number of other uses of numerals, and these are annotated according
to their function.
4.3</p>
      </sec>
      <sec id="sec-4-3">
        <title>Non-verbal predication</title>
        <p>In Buryat, constructions involving non-verbal predicates (nominals, adverbials)
require a copula. This copula (a form of бай- ‘to be’) can be omitted in the present
tense (see Figure 3). Constructions with a copula can be split into a number of
categories: Equation, attribution, location, possession and existential.</p>
        <p>Equation describes sentences such as Борбилоо – шубуун ‘The sparrow is a
bird’ (lit. Sparrow – bird) where the predicate is a noun. Attributive sentences such
as Figures 3a and 3b are where the predicate is an adjective. Locational sentences
have a locative nominal or adverbial as the head (see Figure 3c). In all cases the
non-verbal predicate is the head of the clause, and the copula is a dependent on the
predicate with the label cop.</p>
        <p>(a) Copula omission
(b) Overt copula
Тэнгери</p>
        <p>noun
Case=Nom</p>
        <p>Sky
nsubj</p>
        <p>punct
–
punct</p>
        <p>root
сэлмэг
adj
clear</p>
        <p>root
nsubj</p>
        <p>case
Ном
noun
Case=Nom</p>
        <p>Book
стол
noun
Case=Dat
table
nsubj</p>
        <p>cop
root
сэлмэг
adj
clear
байгаа</p>
        <p>aux
Tense=Past</p>
        <p>was
Тэнгери</p>
        <p>noun
Case=Nom</p>
        <p>Sky
cop
дээрэ
adp
on
байгаа</p>
        <p>aux
Tense=Past</p>
        <p>was
(c) Locative with copula</p>
        <p>Existential sentences have a similar structure to locational sentences, but with
reversed word order. In addition, in existential sentences the existential nominals
буй ‘existing’, бии ‘existing’ (emphatic) or үгэй ‘not existing’ may be employed.
These then become the head of the clause, as in (4b).</p>
        <p>Possessive sentences do not have their own structure, and instead there are three
patterns for possessives, two of which follow the attribution pattern (4a and 4c) and
one which follows the locational pattern (4b).
Энэ
det
This
det
бууш
noun
Case=Nom
gun
nsubj
минии
pron
my
det</p>
        <p>root
нүхэрэйл</p>
        <p>noun
Case=Gen
of friend
nmod:own
саарһан</p>
        <p>noun
Case=Nom
paper
nsubj
root
үгэй
adj
not existing
(a) Predicative use of genitive
(b) Locative possessive
Намда
pron
Case=Dat</p>
        <p>To me
root</p>
        <p>punct
discourse
discourse
һэн
part
nsubj
Та
pron
Case=Nom</p>
        <p>You
мүнгэтэй</p>
        <p>noun
Case=Poss
with money
(c) Predicative use of possessive
гү
part
qst
?</p>
        <p>In the attribution pattern and in bare locative possession (i.e. without бии, буй
or үгэй), the item being owned is the head of the clause and the owner is the subject,
while in the locative/existential construction, the item being owned is the subject
and the owner in the dative case is annotated with the relation nmod:own.
4.4</p>
      </sec>
      <sec id="sec-4-4">
        <title>Non-finite clauses</title>
        <p>Buryat has a large number of morphemes for participles and verbal adverbs2 which
are marked for tense, aspect and mood.</p>
        <p>Participle clauses modify a head nominal, effectively allowing a whole verb
phrase to act as an adnominal modifier. This is the way in which Buryat forms
relative clauses, so we annotate them with the dependency relation acl, per UD
documentation. Examples are provided in Figures 6 and 5. There are also
headless relative clauses where the inflection that would normally attached to the head
nominal appear on the participle.</p>
        <p>2In much of the Mongolic and typological literature verbal adverbs are referred to as converbs.
nmod
acl</p>
        <p>nsubj
Намда гэртээ ошохо гэһэн
pron noun verb part
At me home go
уялга бии
noun adj
obligation existing</p>
        <p>Verbal adverbs create adverbial subordinate clauses which may have an
independent subject. These receive the label advcl. When they have an independent
subject, this is marked with possessive suffix on the verb.</p>
        <p>dobj
punct
amod
nsubj
discourse
Кино буулгахада
noun verb
Film shooting</p>
        <p>,
punct
горитойхон мүнгэн гаргашалагдадаг гээшэ</p>
        <p>adj noun verb part
significant money is spent
In contrast to the universal dependency rule about headedness in conjunction and
multiword constructions, which prescribes taking the first token as the head, in
Buryat we take the last token as the head. This is because in Buryat only the last
word in the phrase is inflected. In line with treebanks for the Turkic languages,
such as Kazakh (Tyers et al., 2015), we decided to annotate these as right-headed.
det
nsubj
appos</p>
        <p>nmod
name
root
cop
Абань минии
Father my
noun det</p>
        <p>таабайн Гомбо Убушеевичай
grandfather Gombo Ubušeevič
noun propn propn</p>
        <p>дүүниинь
little brother
noun
болоно</p>
        <p>is
verb</p>
        <p>
          nmod
advcl
root
root
Buryat possesses a great deal of uninflected words, traditionally called частицанууд
‘particles’ which may encode the following categories: negation, mood, tense
          <xref ref-type="bibr" rid="ref8">(Skribnik, 2006)</xref>
          . Predicates are often accompanied with the predicative particles that
are subdivided into interrogative, negative, modal, evidential and copular particles.
Some of the postpositional particles developed into clitics or suffixes. Though
negation is usually expressed through suffixation (morpheme -гүй) in non-predicative
sentences negative particles үгы and бү are also used
          <xref ref-type="bibr" rid="ref8">(Skribnik, 2006)</xref>
          .
Би
        </p>
        <p>I
pron
Case=Nom
nsubj</p>
        <p>nmod
шамда
to you
pron
Case=Dat
root
хэлээ
say
verb</p>
        <p>discourse
discourse</p>
        <p>punct
hэн</p>
        <p>–
part
шууб</p>
        <p>–
part
.</p>
        <p>.
punct</p>
        <p>Following the Universal Dependencies guidelines we attach these to the head
of the most relevant nearby clause in a flat structure.3
5</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>Experimental results</title>
      <p>
        In order to test the treebank in a real setting, we evaluated a parser trained with
UDPipe
        <xref ref-type="bibr" rid="ref7">(Straka et al., 2016)</xref>
        . UDPipe is an open-source trainable pipeline for
tokenisation, tagging, lemmatisation and dependency parsing. It does not require any
language-specific knowledge.
      </p>
      <p>The options to UDPipe were that we trained a single model for parsing and two
models for tagging. The reason for this is that according to the documentation, the
system works better if a different models are used for predicting part-of-speech tags
and lemmas.</p>
      <p>We first held out 19 sentences at random in order to have a neatly divisible
number of sentences. Then we performed 10-fold cross-validation by randomising
the order of sentences in the corpus and splitting them into 10 equally-sized parts.
In each iteration we held out one part for testing (90 sentences) and used the rest for
training (810 sentences). We calculated the labelled-attachment score (LAS) and
unlabelled-attachment score (UAS) for each of the models. In addition, for those
3We agree with one reviewer who suggested that annotating these with the discourse relation
makes it difficult to separate interjections from grammatical function words. In version 2.0 of the
treebank these will be annotate these with the relation aux in keeping with the new guidelines.
combinations of features that do not include the lemmas and part-of-speech tags
from the gold tags we also calculate the part-of-speech tagging and lemmatisation
accuracy.</p>
      <p>To test how well models trained from the treebank perform, we made a number
of configurations of the testing data. The first configuration was just to use the
surface forms in the input, with the model providing lemmas and part-of-speech tags.
This gives the current state-of-the art results in end-to-end processing of Buryat for
both lemmatisation, part-of-speech tagging and dependency parsing.</p>
      <p>The second configuration was to use the surface form and part-of-speech in the
input. The objective of this configuration was to have a baseline that we could use
to compare with the configuration where we include lemmas. The final
configuration was to use both lemmas and part-of-speech from the treebank. This can be
considered the upper-bound on parsing performance using the treebank.</p>
      <sec id="sec-5-1">
        <title>Input features</title>
        <p>Surface
Surface+POS
Surface+Lemma+POS</p>
      </sec>
      <sec id="sec-5-2">
        <title>Lemma acc. POS acc. UAS</title>
        <p>[78.5, 85.9] [76.0, 78.9] [63.6, 69.5]
– – [69.2, 75.4]
– – [70.7, 76.3]</p>
        <p>LAS
The results of the experiments are presented in Table 2. While the results for
end-to-end parsing are far from the state of the art, they provide a useful baseline
for future work on natural language processing of Buryat.</p>
        <p>
          We are unfortunately not able to compare performance on tools trained on our
treebank with the Mongolian treebank of Loglo et al., (2014) as their treebank is
not freely available, although the same authors in
          <xref ref-type="bibr" rid="ref5">Loglo et al., (2013</xref>
          ) report an
accuracy of 75.21% UAS for rule-based dependency parsing.
6
        </p>
      </sec>
    </sec>
    <sec id="sec-6">
      <title>Concluding remarks</title>
      <p>In our paper we have presented the first dependency treebank for Buryat, and the
first publically available treebank for a Mongolic language. It is the fundamental
step towards the further development of natural-language processing and language
technology for Buryat. During the process a number of discussions about some
linguistic phenomena in Buryat were initiated which will be further investigated.</p>
      <p>
        There are a number of avenues for future work. The first is to include
morphological features. Buryat is a highly inflecting language and it has been shown for
highly-inflecting languages that including morphological features makes it possible
to learn more accurate parsing models. To this end we intend to build a finite-state
transducer compatible with the treebank to do morphological analysis. Secondly,
following the release of the version 2.0 guidelines for Universal Dependencies, we
plan to convert the treebank to the new guidelines. Many aspects will be able to be
automatically converted, but we expect to manually revise all cases of ellipsis.
Finally, we intend to synthesise the contents of this paper and MA thesis
        <xref ref-type="bibr" rid="ref2">(Badmaeva,
2016)</xref>
        into a set of comprehensive online guidelines for Buryat.
      </p>
    </sec>
    <sec id="sec-7">
      <title>Acknowledgements</title>
      <p>The authors would like to express their gratitude to the editors of the newspaper
Buryat Unen who gave us permission to include text from their articles for our
treebank. We would like to thank Zhargal Badagarov and Dizhyd Markhadaeva who
walked us through the most complicated issues of Buryat linguistics. We thank
Jonathan Washington for his recommendation of the grammar sources on
Mongolic languages and Martin Popel for his help to adjust UDPipe for our language
model. We are also thankful to Koldo Gojenola and Gosse Bouma for sharing with
us their valuable views on our project. In addition we are grateful to the
anonymous reviewers whose detailed comments and suggestions allowed us to improve this
article.
Straka, M., Hajič, J., and Straková, J. (2016). UDPipe: Trainable Pipeline for
Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS
Tagging and Parsing. In: Proceedings of the Tenth International Conference on
Language Resources and Evaluation (LREC’16). Portorož, Slovenia: European
Language Resources Association (ELRA). ISBN: 978-2-9517408-9-1.
Tyers, F. and Washington, J. (2015). Towards a Free/Open-Source Universal-Dependency
Treebank for Kazakh. In: Proceedings of the International Conference ”Turkic
Languages Processing” (Turklang 2015).
Росстат (2010). Russian Census.</p>
    </sec>
  </body>
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