Usage disambiguation of Turkish discourse connectives

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Usage disambiguation of Turkish discourse connectives

Popis výsledku v původním jazyce

"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."

Název v anglickém jazyce

Usage disambiguation of Turkish discourse connectives

Popis výsledku anglicky

"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."

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

"Language Resources and Evaluation"

ISSN

1574-020X

e-ISSN

—

Svazek periodika

57

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

34

Strana od-do

223-256

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85146273631