DEVELOPMENT OF SAN’ANI ARABIC PARTS-OF-SPEECH TAGGER: A BI-GRUs-CRF MODEL

dc.contributor.advisor Rajyarama, K.
dc.contributor.author Mohammed Mohammed Nasser Al-Shehabi, Sabah
dc.date.accessioned 2024-07-03T07:09:38Z
dc.date.available 2024-07-03T07:09:38Z
dc.date.issued 2021-12
dc.description.abstract One of the essential pre-processing tasks for building and improving NLP applications is known as parts-of-speech tagging. The tagging process involves the assigning of an appropriate part of speech tag to each word/token in a text. It also plays a fundamental role in developing many natural language processing applications such as syntactic parsing, named-entity recognition, automatic translation, ontology engineering, question answering, and information retrieval. In
dc.identifier.uri https://dspcae.uohyd.ac.in/handle/1/15348
dc.language.iso en_US
dc.publisher University of Hyderabad
dc.title DEVELOPMENT OF SAN’ANI ARABIC PARTS-OF-SPEECH TAGGER: A BI-GRUs-CRF MODEL
dc.type Thesis
dspace.entity.type
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