Enhancing Turkish Word Segmentation: A Focus on Borrowed Words and Invalid Morpheme

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10492850" target="_blank" >RIV/00216208:11320/24:10492850 - isvavai.cz</a>

Výsledek na webu

<a href="https://aclanthology.org/2024.loresmt-1.pdf" target="_blank" >https://aclanthology.org/2024.loresmt-1.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Enhancing Turkish Word Segmentation: A Focus on Borrowed Words and Invalid Morpheme

Popis výsledku v původním jazyce

This study addresses a challenge in morphological segmentation: accurately segmenting words in languages with rich morphology. Current probabilistic methods, such as Morfessor, often produce results that lack consistency with human-segmented words. Our study adds some steps to the Morfessor segmentation process to consider invalid morphemes and borrowed words from other languages to improve morphological segmentation significantly. Comparing our idea to the results obtained from Morfessor demonstrates its efficiency, leading to more accurate morphology segmentation. This is particularly evident in the case of Turkish, highlighting the potential for further advancements in morpheme segmentation for morphologically rich languages.

Název v anglickém jazyce

Enhancing Turkish Word Segmentation: A Focus on Borrowed Words and Invalid Morpheme

Popis výsledku anglicky

This study addresses a challenge in morphological segmentation: accurately segmenting words in languages with rich morphology. Current probabilistic methods, such as Morfessor, often produce results that lack consistency with human-segmented words. Our study adds some steps to the Morfessor segmentation process to consider invalid morphemes and borrowed words from other languages to improve morphological segmentation significantly. Comparing our idea to the results obtained from Morfessor demonstrates its efficiency, leading to more accurate morphology segmentation. This is particularly evident in the case of Turkish, highlighting the potential for further advancements in morpheme segmentation for morphologically rich languages.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages

ISBN

979-8-89176-149-0

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

85-93

Název nakladatele

Association for Computational Linguistic

Místo vydání

Stroudsburg, USA

Místo konání akce

Bangkok, Thailand

Datum konání akce

15. 8. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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