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Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AL23BUXIP" target="_blank" >RIV/00216208:11320/22:L23BUXIP - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/00216208:11320/23:VGG5K426

  • Výsledek na webu

    <a href="https://doi.org/10.1007/s10579-021-09558-0" target="_blank" >https://doi.org/10.1007/s10579-021-09558-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10579-021-09558-0" target="_blank" >10.1007/s10579-021-09558-0</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool

  • Popis výsledku v původním jazyce

    In this paper, we introduce the resources that we developed for Turkish dependency parsing, which include a novel manually annotated treebank (BOUN Treebank), along with the guidelines we adopted, and a new annotation tool (BoAT). The manual annotation process that we employed was shaped and implemented by a team of four linguists and five Natural Language Processing (NLP) specialists. Decisions regarding the annotation of the BOUN Treebank were made in line with the Universal Dependencies (UD) framework as well as our recent efforts for unifying the Turkish UD treebanks through manual re-annotation. To the best of our knowledge, the BOUN Treebank is the largest Turkish UD treebank. It contains a total of 9761 sentences from various topics including biographical texts, national newspapers, instructional texts, popular culture articles, and essays. In addition, we report the parsing results of a state-of-the-art dependency parser obtained over the BOUN Treebank as well as two other treebanks in Turkish. Our results demonstrate that the unification of the Turkish annotation scheme and the introduction of a more comprehensive treebank lead to improved performance with regards to dependency parsing.

  • Název v anglickém jazyce

    Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool

  • Popis výsledku anglicky

    In this paper, we introduce the resources that we developed for Turkish dependency parsing, which include a novel manually annotated treebank (BOUN Treebank), along with the guidelines we adopted, and a new annotation tool (BoAT). The manual annotation process that we employed was shaped and implemented by a team of four linguists and five Natural Language Processing (NLP) specialists. Decisions regarding the annotation of the BOUN Treebank were made in line with the Universal Dependencies (UD) framework as well as our recent efforts for unifying the Turkish UD treebanks through manual re-annotation. To the best of our knowledge, the BOUN Treebank is the largest Turkish UD treebank. It contains a total of 9761 sentences from various topics including biographical texts, national newspapers, instructional texts, popular culture articles, and essays. In addition, we report the parsing results of a state-of-the-art dependency parser obtained over the BOUN Treebank as well as two other treebanks in Turkish. Our results demonstrate that the unification of the Turkish annotation scheme and the introduction of a more comprehensive treebank lead to improved performance with regards to dependency parsing.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Language Resources and Evaluation [online]

  • ISSN

    1574-0218

  • e-ISSN

    1574-0218

  • Svazek periodika

    56

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    49

  • Strana od-do

    259-307

  • Kód UT WoS článku

    000715667900001

  • EID výsledku v databázi Scopus

    2-s2.0-85118617288