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Word Sense Disambiguation for Wolaita Language Using Machine Learning Approach

Domaine:

natural language processing

Type de record:

paper
Créateur:
Tem
Éditeur:
unp
Hôte:avatar

Visit

doi.orgwww.researchgate.net

Languages

Wolaytta

Similaires

UNSUPERVISED MACHINE LEARNING APPROACH FOR TIGRIGNA WORD SENSE DISAMBIGUATIONWord Sense Disambiguation Model for Wolaita Language Using Semi-Supervised Learning, Transformer Models, and Explainable AISemisupervised Learning‐Based Word‐Sense Disambiguation Using Word Embedding for Afaan Oromoo LanguageAmharic Sentence-Level Word Sense Disambiguation Using Transfer LearningHybrid Approach to Word Sense Disambiguation Combining Supervised and Unsupervised LearningKnowledge-based word sense disambiguation for Setswana-English machine translation

UNSUPERVISED MACHINE LEARNING APPROACH FOR TIGRIGNA WORD SENSE DISAMBIGUATION

No abstract available for this resource

Word Sense Disambiguation Model for Wolaita Language Using Semi-Supervised Learning, Transformer Models, and Explainable AI

Semisupervised Learning‐Based Word‐Sense Disambiguation Using Word Embedding for Afaan Oromoo Language

Natural language is a type of language that human beings use to communicate with each other. However

Amharic Sentence-Level Word Sense Disambiguation Using Transfer Learning

Hybrid Approach to Word Sense Disambiguation Combining Supervised and Unsupervised Learning

Knowledge-based word sense disambiguation for Setswana-English machine translation

There are several challenges that hinder the development of Setswana-to-English machine translation