A conditional random field based approach for high-accuracy part-of-speech tagging using language-independent features.

ABSTRACT: Part-of-speech (POS) tagging is the process of assigning tags or labels to each word of a text based on the grammatical category. It provides the ability to understand the grammatical structure of a text and plays an important role in many natural language processing tasks like syntax understanding, semantic analysis, text processing, information retrieval, machine translation, and named entity recognition. The POS tagging involves sequential nature, context dependency, and labeling of each word. Therefore it is a sequence labeling task. The challenges faced in Urdu text processing including resource scarcity, morphological richness, free word order, absence of capitalization, agglutinative nature, spelling variations, and multipurpose usage of words raise the demand for the development of

SUBMITTER: Ali M 

PROVIDER: S-EPMC11784857 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature