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Field Experiments of Real Time Foreign News Distribution Powered by MT
The second technology is machine translation (MT), which enables users to read foreign news articles in their mother language.
Neural Machine Translation Using Extracted Context Based on Deep Analysis for the Japanese-English Newswire Task at WAT 2020
This paper describes the system of the NHK-NES team for the WAT 2020 Japanese–English newswire task.
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021
In this paper, we use a lexically-constrained neural machine translation (NMT), which concatenates the source sentence and constrained words with a special token to input them into the encoder of NMT.
Effective Use of Target-side Context for Neural Machine Translation
The first problem is the quality of parallel corpora.
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT
The first problem is the quality of parallel corpora.
Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019
The content-equivalent corpus was effective for improving translation quality, and our systems achieved the best human evaluation scores in the newswire translation tasks at WAT 2019.
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