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DadmaTools: Natural Language Processing Toolkit for Persian Language

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DadmaTools: Natural Language Processing Toolkit for Persian Language

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    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

  • Number of pages

    7

  • Pages from-to

    124-130

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

  • Event location

    Hybrid: Seattle, Washington + Online

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article