Usage disambiguation of Turkish discourse connectives
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A4K7Z7ZWD" target="_blank" >RIV/00216208:11320/23:4K7Z7ZWD - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146273631&doi=10.1007%2fs10579-022-09614-3&partnerID=40&md5=704513d78507a1ad916e23f1a8108778" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146273631&doi=10.1007%2fs10579-022-09614-3&partnerID=40&md5=704513d78507a1ad916e23f1a8108778</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10579-022-09614-3" target="_blank" >10.1007/s10579-022-09614-3</a>
Alternative languages
Result language
angličtina
Original language name
Usage disambiguation of Turkish discourse connectives
Original language description
"This paper describes a rule-based approach and a machine learning approach to disambiguate the discourse usage of Turkish connectives, which not only has single and phrasal connectives as most languages do, but also suffixal connectives that largely correspond to subordinating conjunctions in English. Since these connectives have different linguistic characteristics, two sets of linguistic rules are devised to disambiguate their discourse usage. The linguistic rules are used in the rule-based approach and employed as feature sets in the machine learning approach to test whether they influenced the decision of our algorithms. The results of both approaches are evaluated over the Turkish section of TED-Multilingual Discourse Bank and Turkish Discourse Bank 1.1, two datasets annotated in the Penn Discourse TreeBank style. The paper attests to the predictive power of the linguistic rules in disambiguating the discourse usage of both types of connectives also offering new knowledge and insights for discourse processing from the view of a morphologically rich language. © 2023, The Author(s), under exclusive licence to Springer Nature B.V."
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
"Language Resources and Evaluation"
ISSN
1574-020X
e-ISSN
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Volume of the periodical
57
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
34
Pages from-to
223-256
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85146273631