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

Result code in 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>
Alternative codes found
RIV/00216208:11320/23:VGG5K426
Result on the web
<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>

Result language
angličtina
Original language name
Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool
Original language description
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.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)