DadmaTools: Natural Language Processing Toolkit for Persian Language

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AWT3HQ5A5" target="_blank" >RIV/00216208:11320/22:WT3HQ5A5 - isvavai.cz</a>

Výsledek na webu

<a href="https://aclanthology.org/2022.naacl-demo.13" target="_blank" >https://aclanthology.org/2022.naacl-demo.13</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18653/v1/2022.naacl-demo.13" target="_blank" >10.18653/v1/2022.naacl-demo.13</a>

Jazyk výsledku

angličtina

Název v původním jazyce

DadmaTools: Natural Language Processing Toolkit for Persian Language

Popis výsledku v původním jazyce

We introduce DadmaTools, an open-source Python Natural Language Processing toolkit for the Persian language. The toolkit is a neural pipeline based on spaCy for several text processing tasks, including normalization, tokenization, lemmatization, part-of-speech, dependency parsing, constituency parsing, chunking, and ezafe detecting. DadmaTools relies on fine-tuning of ParsBERT using the PerDT dataset for most of the tasks. Dataset module and embedding module are included in DadmaTools that support different Persian datasets, embeddings, and commonly used functions for them. Our evaluations show that DadmaTools can attain state-of-the-art performance on multiple NLP tasks. The source code is freely available at https://github.com/Dadmatech/DadmaTools.

Název v anglickém jazyce

DadmaTools: Natural Language Processing Toolkit for Persian Language

Popis výsledku anglicky

We introduce DadmaTools, an open-source Python Natural Language Processing toolkit for the Persian language. The toolkit is a neural pipeline based on spaCy for several text processing tasks, including normalization, tokenization, lemmatization, part-of-speech, dependency parsing, constituency parsing, chunking, and ezafe detecting. DadmaTools relies on fine-tuning of ParsBERT using the PerDT dataset for most of the tasks. Dataset module and embedding module are included in DadmaTools that support different Persian datasets, embeddings, and commonly used functions for them. Our evaluations show that DadmaTools can attain state-of-the-art performance on multiple NLP tasks. The source code is freely available at https://github.com/Dadmatech/DadmaTools.

Druh

D - Stať ve sborníku

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

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations

ISBN

978-1-955917-74-2

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

124-130

Název nakladatele

Association for Computational Linguistics

Místo vydání

—

Místo konání akce

Hybrid: Seattle, Washington + Online

Datum konání akce

1. 1. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—