Machine Learning Based Optimized Pruning Approach for Decoding in Statistical Machine Translation

Machine Learning Based Optimized Pruning Approach for Decoding in Statistical Machine Translation

A conventional decoding algorithm is critical to the success of any statistical machine translation system. Providing an enormous amount of space leads to inappropriate slow decoding. There is a trade-off between the translation accuracy and the decoding speed. Pruning algorithms (like histogram pru...

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Bibliographic Details
Main Authors: Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Machine learning
machine translation
decoding
evaluation metric
Online Access:https://ieeexplore.ieee.org/document/8588318/

Internet

https://ieeexplore.ieee.org/document/8588318/

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