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Unicode-8 based linguistics data set of annotated Sindhi text.

Mazhar Ali Dootio1,2, Asim Imdad Wagan3

  • 1Shaheed Zulifqar Ali Bhutto Institute of Science & Technology (SZABIST), Karachi, Sindh, Pakistan.

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|September 19, 2018
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Summary
This summary is machine-generated.

A new Sindhi linguistics dataset, based on Unicode-8, offers multi-class, multi-featured data for natural language processing (NLP) and sentiment analysis tasks.

Keywords:
Computational linguisticsDatasetLexiconMorphologyNLPSindhi

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Area of Science:

  • Computational Linguistics
  • Natural Language Processing

Background:

  • The Sindhi language lacks comprehensive digital resources for advanced linguistic analysis.
  • Existing NLP tools often struggle with the grammatical and morphological complexities of Sindhi.

Purpose of the Study:

  • To introduce a novel Sindhi Unicode-8 based linguistics dataset.
  • To facilitate research and development in Sindhi Natural Language Processing (NLP).
  • To support various NLP tasks including machine translation and sentiment analysis.

Main Methods:

  • Development of a multi-class and multi-featured dataset for the Sindhi language.
  • Inclusion of grammatical, morphological, and sentiment polarity information.
  • Data encoding using Unicode-8 standards.

Main Results:

  • A comprehensive dataset covering Sindhi language structure and lexicon sentiment.
  • The dataset is suitable for a wide range of NLP applications.
  • Enables detailed analysis of Sindhi text.

Conclusions:

  • The Sindhi Unicode-8 dataset is a valuable resource for advancing Sindhi NLP.
  • It supports diverse applications from information retrieval to sentiment analysis.
  • Facilitates deeper understanding and processing of the Sindhi language.