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Haque, Rejwanul (3)
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Hits 1 – 3 of 3
1
Investigating low-resource machine translation for English-to-Tamil
Parthasarathy, Venkatesh Balavadhani
;
Haque, Rejwanul
;
Ramesh, Akshai
...
In: Ramesh, Akshai, Parthasarathy, Venkatesh Balavadhani, Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) Investigating low-resource machine translation for English-to-Tamil. In: Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages (LoResMT 2020) AACL-IJCNLP, December 4-7, 2020, Suzhou, China (Online). (2020)
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2
An error-based investigation of statistical and neural machine translation performance on Hindi-to-Tamil and English-to-Tamil
Haque, Rejwanul
;
Parthasarathy, Venkatesh Balavadhani
;
Way, Andy
...
In: Ramesh, Akshai, Parthasarathy, Venkatesh Balavadhani, Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) An error-based investigation of statistical and neural machine translation performance on Hindi-to-Tamil and English-to-Tamil. In: 7th Workshop on Asian Translation (WAT2020), 4 Dec 2020, Suzhou, China (Online). (2020)
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3
The ADAPT system description for the WMT20 news translation task
Way, Andy
;
Ramesh, Akshai
;
Parthasarathy, Venkatesh Balavadhani
;
Haque, Rejwanul
In: Parthasarathy, Venkatesh Balavadhani, Ramesh, Akshai, Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT system description for the WMT20 news translation task. In: Fifth Conference on Machine Translation (NEWS Shared Task), 19 -20 Nov 2020, Dominican Republic (Online). (2020)
Abstract:
This paper describes the ADAPT Centre’s submissions to the WMT20 News translation shared task for English-to-Tamil and Tamil-to-English. We present our machine translation (MT) systems that were built using the state-of-the-art neural MT (NMT) model, Transformer. We applied various strategies in order to improve our baseline MT systems, e.g. monolingual sentence selection for creating synthetic training data, mining monolingual sentences for adapting our MT systems to the task, hyperparameters search for Transformer in low-resource scenarios. Our experiments show that adding the aforementioned techniques to the baseline yields an excellent performance in the English-to-Tamil and Tamil-to-English translation tasks.
Keyword:
Computational linguistics
;
Machine learning
;
Machine translating
URL:
http://doras.dcu.ie/25113/
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