多词表达对英语到巴蒂盲文机器翻译的启示

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI:10.1109/ISCON57294.2023.10112137

Nisheeth Joshi, Pragya Katyayan

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引用次数: 0

摘要

在本文中，我们展示了英语到巴蒂盲文机器翻译系统的改进。我们已经展示了如何通过添加一些语言知识来改进基线NMT模型。这是针对五种语言对进行的，其中英语句子被翻译成五种印度语言，然后随后被翻译成相应的巴蒂盲文。这已经通过添加用于翻译多词表达式的子模块来演示。该方法在跨语言对方面显示出有希望的结果，我们可以看到NMT输出质量的提高。英语-尼泊尔语组改善最少，为22.08%，英语-印地语组改善最多，为23.30%

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Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation

In this paper, we have shown the improvement of English to Bharti Braille machine translation system. We have shown how we can improve a baseline NMT model by adding some linguistic knowledge to it. This was done for five language pairs where English sentences were translated into five Indian languages and then subsequently to corresponding Bharti Braille. This has been demonstrated by adding a submodule for translating multi-word expressions. The approach shows promising results as across language pairs, we could see improvement in the quality of NMT outputs. The least improvement was observed in English-Nepali language pair with 22.08% and the most improvement was observed in the English-Hindi language pair with 23.30%

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2023 6th International Conference on Information Systems and Computer Networks (ISCON)

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