A New Approach to Word Sense Disambiguation Based on Context Similarity

@inproceedings{Nameh2011ANA,
  title={A New Approach to Word Sense Disambiguation Based on Context Similarity},
  author={M. Nameh and Seyed Mostafa Fakhrahmad and Mansoor Zolghadri Jahromi},
  year={2011}
}
One of the major issues in the process of machine translation is word sense disambiguation (WSD), which is defined as choosing the correct meaning of a multi-meaning word. Supervised learning methods are usually used to solve this problem. The disambiguation task is carried out using the statistics of the translated documents (as training data) or dual corpora of source and target languages. In this paper we present a supervised learning method for WSD, which is based on Cosine Similarity. As… CONTINUE READING
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