Usage disambiguation of Turkish discourse connectives

Date

2023-01-01

Author

Başıbüyük, Kezban
Zeyrek Bozşahin, Deniz

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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.

Subject Keywords

Connective lexicon, Discourse connectives, Discourse processing, Turkish, Usage disambiguation

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85146273631&origin=inward
https://hdl.handle.net/11511/102268

Journal

Language Resources and Evaluation

DOI

https://doi.org/10.1007/s10579-022-09614-3

Collections

Graduate School of Informatics, Article

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Citation Formats

K. Başıbüyük and D. Zeyrek Bozşahin, “Usage disambiguation of Turkish discourse connectives,” Language Resources and Evaluation, pp. 0–0, 2023, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85146273631&origin=inward.