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Implications of Supervised Learning on Word Sense Disambiguation for Hindi
- Source :
- Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies.
- Publication Year :
- 2016
- Publisher :
- ACM, 2016.
-
Abstract
- Understanding the meaning in a text has been an open problem in machine translation research. This paper discusses different supervised machine learning techniques used for disambiguation of correct meaning in text. It shows the feature set used and their training on different classifiers. The paper ends with the evaluation of the systems.
- Subjects :
- 010302 applied physics
Hindi
Machine translation
Computer science
business.industry
Supervised learning
020206 networking & telecommunications
02 engineering and technology
Semi-supervised learning
computer.software_genre
01 natural sciences
language.human_language
SemEval
Support vector machine
Naive Bayes classifier
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
language
Artificial intelligence
business
computer
Natural language processing
Meaning (linguistics)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies
- Accession number :
- edsair.doi...........0a7f567a1c84707155398693d698c904
- Full Text :
- https://doi.org/10.1145/2905055.2905260