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Neural Machine Translation for English-Malayalam


Affiliations
1 AU-KBC Research Centre, MIT Campus of Anna University., India
 

Neural Machine Translation systems produce state-of-art translation for high resource languages. It is yet a challenge in low-resource and morphologically rich languages. In this paper, we have discussed the existing techniques in handling the morphologically rich and low-resource languages and presented our experiments on developing English-Malayalam NMT system where we have processed the data using different techniques namely word segmentation using morphological analyser and applying Byte pair Encoding (BPE) technique. The results show a significant improvement by implementing the word segmentation using morphological analyser.

Keywords

Neural Machine Translation, Morphologically rich languages, Morph segmentation, Byte Pair Encoding.
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  • Neural Machine Translation for English-Malayalam

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Authors

Vijay Sundar Ram R
AU-KBC Research Centre, MIT Campus of Anna University., India
Sobha Lalitha Devi
AU-KBC Research Centre, MIT Campus of Anna University., India

Abstract


Neural Machine Translation systems produce state-of-art translation for high resource languages. It is yet a challenge in low-resource and morphologically rich languages. In this paper, we have discussed the existing techniques in handling the morphologically rich and low-resource languages and presented our experiments on developing English-Malayalam NMT system where we have processed the data using different techniques namely word segmentation using morphological analyser and applying Byte pair Encoding (BPE) technique. The results show a significant improvement by implementing the word segmentation using morphological analyser.

Keywords


Neural Machine Translation, Morphologically rich languages, Morph segmentation, Byte Pair Encoding.

References