A Novel Deep Learning Method for Obtaining Bilingual Corpus from Multilingual Website

ShaoLin Zhu, Xiao Li, YaTing Yang, Lei Wang and ChengGang Mi

Mathematical Problems in Engineering, 2019, vol. 2019, 1-7

Abstract:

Machine translation needs a large number of parallel sentence pairs to make sure of having a good translation performance. However, the lack of parallel corpus heavily limits machine translation for low-resources language pairs. We propose a novel method that combines the continuous word embeddings with deep learning to obtain parallel sentences. Since parallel sentences are very invaluable for low-resources language pair, we introduce cross-lingual semantic representation to induce bilingual signals. Our experiments show that we can achieve promising results under lacking external resources for low-resource languages. Finally, we construct a state-of-the-art machine translation system in low-resources language pair.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:7495436

DOI: 10.1155/2019/7495436

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