Abstract meaning representation of Turkish
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AYYB88QUG" target="_blank" >RIV/00216208:11320/25:YYB88QUG - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/22:2PTZLRHA
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129562470&doi=10.1017%2fS1351324922000183&partnerID=40&md5=80f3050cb56fb74d1775c63ed8d82a2e" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129562470&doi=10.1017%2fS1351324922000183&partnerID=40&md5=80f3050cb56fb74d1775c63ed8d82a2e</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1017/S1351324922000183" target="_blank" >10.1017/S1351324922000183</a>
Alternative languages
Result language
angličtina
Original language name
Abstract meaning representation of Turkish
Original language description
meaning representation (AMR) is a graph-based sentence-level meaning representation that has become highly popular in recent years. AMR is a knowledge-based meaning representation heavily relying on frame semantics for linking predicate frames and entity knowledge bases such as DBpedia for linking named entity concepts. Although it is originally designed for English, its adaptation to non-English languages is possible by defining language-specific divergences and representations. This article introduces the first AMR representation framework for Turkish, which poses diverse challenges for AMR due to its typological differences compared to English; agglutinative, free constituent order, morphologically highly rich resulting in fewer word surface forms in sentences. The introduced solutions to these peculiarities are expected to guide the studies for other similar languages and speed up the construction of a cross-lingual universal AMR framework. Besides this main contribution, the article also presents the construction of the first AMR corpus of 700 sentences, the first AMR parser (i.e., a tree-to-graph rule-based AMR parser) used for semi-automatic annotation, and the evaluation of the introduced resources for Turkish. © The Author(s), 2022.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Natural Language Engineering
ISSN
1351-3249
e-ISSN
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Volume of the periodical
30
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
30
Pages from-to
171-200
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85129562470