6 citations · 14 across the 3 of their papers we have counts for
5 papers
AR: Auto-Repair the Synthetic Data for Neural Machine Translation
Shanbo Cheng, Shaohui Kuang, Rongxiang Weng +3
Compared with only using limited authentic parallel data as training corpus, many studies have proved that incorporating synthetic parallel data, which generated by back translatio…
Merging External Bilingual Pairs into Neural Machine Translation
Tao Wang, Shaohui Kuang, Deyi Xiong +1
As neural machine translation (NMT) is not easily amenable to explicit correction of errors, incorporating pre-specified translations into NMT is widely regarded as a non-trivial c…
Learning to Reuse Translations: Guiding Neural Machine Translation with Examples
Qian Cao, Shaohui Kuang, Deyi Xiong
In this paper, we study the problem of enabling neural machine translation (NMT) to reuse previous translations from similar examples in target prediction. Distinguishing reusable…
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model
Shaohui Kuang, Deyi Xiong
Neural machine translation (NMT) systems are usually trained on a large amount of bilingual sentence pairs and translate one sentence at a time, ignoring inter-sentence information…
Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level
Lifeng Han, Shaohui Kuang
In neural machine translation (NMT), researchers face the challenge of un-seen (or out-of-vocabulary OOV) words translation. To solve this, some researchers propose the splitting o…