Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A7VX7S4A8" target="_blank" >RIV/00216208:11320/22:7VX7S4A8 - isvavai.cz</a>

Výsledek na webu

<a href="https://nejlt.ep.liu.se/article/view/4315" target="_blank" >https://nejlt.ep.liu.se/article/view/4315</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3384/nejlt.2000-1533.2022.4315" target="_blank" >10.3384/nejlt.2000-1533.2022.4315</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic

Popis výsledku v původním jazyce

Most linguistic studies of Judeo-Arabic, the ensemble of dialects spoken and written by Jews in Arab lands, are qualitative in nature and rely on laborious manual annotation work, and are therefore limited in scale. In this work, we develop automatic methods for morpho-syntactic tagging of Algerian Judeo-Arabic texts published by Algerian Jews in the 19th--20th centuries, based on a linguistically tagged corpus. First, we describe our semi-automatic approach for preprocessing these texts. Then, we experiment with both an off-the-shelf morphological tagger and several specially designed neural network taggers. Finally, we perform a real-world evaluation of new texts that were never tagged before in comparison with human expert annotators. Our experimental results demonstrate that these methods can dramatically speed up and improve the linguistic research pipeline, enabling linguists to study these dialects on a much greater scale.

Název v anglickém jazyce

Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic

Popis výsledku anglicky

Most linguistic studies of Judeo-Arabic, the ensemble of dialects spoken and written by Jews in Arab lands, are qualitative in nature and rely on laborious manual annotation work, and are therefore limited in scale. In this work, we develop automatic methods for morpho-syntactic tagging of Algerian Judeo-Arabic texts published by Algerian Jews in the 19th--20th centuries, based on a linguistically tagged corpus. First, we describe our semi-automatic approach for preprocessing these texts. Then, we experiment with both an off-the-shelf morphological tagger and several specially designed neural network taggers. Finally, we perform a real-world evaluation of new texts that were never tagged before in comparison with human expert annotators. Our experimental results demonstrate that these methods can dramatically speed up and improve the linguistic research pipeline, enabling linguists to study these dialects on a much greater scale.

Druh

J_ost - Ostatní články v recenzovaných periodicích

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

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Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Northern European Journal of Language Technology

ISSN

2000-1533

e-ISSN

1744-4217

Svazek periodika

8

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

21

Strana od-do

1-21

Kód UT WoS článku

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EID výsledku v databázi Scopus

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