Building a Morphological Network for Persian on Top of a Morpheme-Segmented Lexicon

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405566" target="_blank" >RIV/00216208:11320/19:10405566 - isvavai.cz</a>

Výsledek na webu

<a href="https://ufal.mff.cuni.cz/derimo2019/pdf-files/derimo2019.pdf" target="_blank" >https://ufal.mff.cuni.cz/derimo2019/pdf-files/derimo2019.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Building a Morphological Network for Persian on Top of a Morpheme-Segmented Lexicon

Popis výsledku v původním jazyce

In this work, we introduce a new large hand-annotated morpheme-segmentation lexicon of Persian words and present an algorithm that builds a morphological network using this segmented lexicon. The resulting network captures both derivational and inflectional relations. The algorithm for inducing the network approximates the distinction between root morphemes and affixes using the number of morpheme occurrences in the lexicon. We evaluate the quality (in the sense of linguistic correctness) of the resulting network empirically and compare it to the quality of a network generated in a setup based on manually distinguished non-root morphemes. In the second phase of this work, we evaluated various strategies to add new words (unprocessed in the segmented lexicon) into an existing morphological network automatically. For this purpose, we created primary morphological networks based on two initial data: a manually segmented lexicon and an automatically segmented lexicon created by unsupervised MORFESSOR. The

Název v anglickém jazyce

Building a Morphological Network for Persian on Top of a Morpheme-Segmented Lexicon

Popis výsledku anglicky

In this work, we introduce a new large hand-annotated morpheme-segmentation lexicon of Persian words and present an algorithm that builds a morphological network using this segmented lexicon. The resulting network captures both derivational and inflectional relations. The algorithm for inducing the network approximates the distinction between root morphemes and affixes using the number of morpheme occurrences in the lexicon. We evaluate the quality (in the sense of linguistic correctness) of the resulting network empirically and compare it to the quality of a network generated in a setup based on manually distinguished non-root morphemes. In the second phase of this work, we evaluated various strategies to add new words (unprocessed in the segmented lexicon) into an existing morphological network automatically. For this purpose, we created primary morphological networks based on two initial data: a manually segmented lexicon and an automatically segmented lexicon created by unsupervised MORFESSOR. The

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

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Second International Workshop on Resources and Tools for Derivational Morphology (DeriMo 2019)

ISBN

978-80-88132-08-0

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

91-100

Název nakladatele

ÚFAL MFF UK

Místo vydání

Praha, Czechia

Místo konání akce

Praha, Czechia

Datum konání akce

19. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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