Neural Machine Translation for English-Tamil Experimental results confirm that our proposed MIDAS translator (8.33 BLEU score) outperforms Google translator (3.75 BLEU score).", We use the BLEU score for evaluating the system performance.
We propose a novel neural machine translation technique using word-embedding along with Byte-Pair-Encoding (BPE) to develop an efficient translation system that overcomes the OOV (Out Of Vocabulary) problem for languages which do not have much translations available online. In this paper, we apply NMT for English-Tamil language pair. Neural machine translation (NMT) is one of the most recent and effective translation technique amongst all existing machine translation systems. To this end, machine translation is an efficient approach to translate text without any human involvement. However, translating such content manually is very tedious, costly, and time-consuming process. Publisher = "Association for Computational Linguistics",Ībstract = "A huge amount of valuable resources is available on the web in English, which are often translated into local languages to facilitate knowledge sharing among local people who are not much familiar with English.
Tamil to english translation meaning mods#
Cite (Informal): Neural Machine Translation for English-Tamil (Choudhary et al., 2018) Copy Citation: BibTeX Markdown MODS XML Endnote More options… PDF: = "Neural Machine Translation for amil",īooktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers", Association for Computational Linguistics. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 770–775, Belgium, Brussels.
Neural Machine Translation for English-Tamil. | WS SIG: SIGMT Publisher: Association for Computational Linguistics Note: Pages: 770–775 Language: URL: DOI: 10.18653/v1/W18-6459 Bibkey: choudhary-etal-2018-neural Cite (ACL): Himanshu Choudhary, Aditya Kumar Pathak, Rajiv Ratan Saha, and Ponnurangam Kumaraguru. Anthology ID: W18-6459 Volume: Proceedings of the Third Conference on Machine Translation: Shared Task Papers Month: October Year: 2018 Address: Belgium, Brussels Venues: EMNLP Experimental results confirm that our proposed MIDAS translator (8.33 BLEU score) outperforms Google translator (3.75 BLEU score).
Abstract A huge amount of valuable resources is available on the web in English, which are often translated into local languages to facilitate knowledge sharing among local people who are not much familiar with English.
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