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Active-to-Passive Arabic Word Conversion and MSD Identification using RNN

Published: 27 February 2023 Publication History

Abstract

Identifiying part of speech of word is critical for Arabic language morphology aspects. Existing approaches either 1) predict morphological description from active voice Arabic words with neural based; or 2) predict morphological description from active and passive voice Arabic words with rule based. Both kinds of approaches have shortcomings. Therefore, we propose on adding some other Arabic type of word, which is passive voice word. Specifically, we convert the active voice to passive voice Arabic with computation and morphological description identification from that result. Experiments show that our system sucessfully to change active to passive voice automatically and achieves good performance on morphological description identification using neural based method.

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IC3INA '22: Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications
November 2022
415 pages
ISBN:9781450397902
DOI:10.1145/3575882
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 February 2023

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Author Tags

  1. NLP
  2. RNN
  3. arabic word classification
  4. morphological analyzer
  5. morphosyntactic description
  6. passive arabic word

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