Morphological analysis and disambiguation for Breton

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441632" target="_blank" >RIV/00216208:11320/21:10441632 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Ihw-0KwxJ0" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Ihw-0KwxJ0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10579-020-09510-8" target="_blank" >10.1007/s10579-020-09510-8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Morphological analysis and disambiguation for Breton

Popis výsledku v původním jazyce

In this paper we present an extended description of two resources for natural language processing of Breton, a morphological analyser and constraint grammar-based disambiguator. The constraint grammar was developed using a novel methodology by a linguist and a language consultant creating rules to solve specific errors in disambiguation in a machine translation system. In addition we introduce a new morphologically-disambiguated corpus of Breton and evaluate both the morphological analyser and constraint grammar for coverage and accuracy. For comparison we use the same corpus to train several reference systems for part-of-speech tagging and lemmatisation and compare the performance. The experiments show that our system outperforms the reference systems by a wide margin when the reference systems are trained without an external full-form list, and performs comparably when they are trained with a full-form list generated from our morphological analyser.

Název v anglickém jazyce

Morphological analysis and disambiguation for Breton

Popis výsledku anglicky

In this paper we present an extended description of two resources for natural language processing of Breton, a morphological analyser and constraint grammar-based disambiguator. The constraint grammar was developed using a novel methodology by a linguist and a language consultant creating rules to solve specific errors in disambiguation in a machine translation system. In addition we introduce a new morphologically-disambiguated corpus of Breton and evaluate both the morphological analyser and constraint grammar for coverage and accuracy. For comparison we use the same corpus to train several reference systems for part-of-speech tagging and lemmatisation and compare the performance. The experiments show that our system outperforms the reference systems by a wide margin when the reference systems are trained without an external full-form list, and performs comparably when they are trained with a full-form list generated from our morphological analyser.

Druh

J_imp - Článek v periodiku v databázi Web of Science

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

2021

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

1574-0218

Svazek periodika

55

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

43

Strana od-do

431-473

Kód UT WoS článku

000590025300001

EID výsledku v databázi Scopus

2-s2.0-85096077940