activity
20172021
most citedModeling Coherence for Neural Machine Translation with Dynamic and Topic Caches

82 citations · 103 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2021

Spiral Language Modeling

Yong Cao, Yukun Feng, Shaohui Kuang +1

In almost all text generation applications, word sequences are constructed in a left-to-right (L2R) or right-to-left (R2L) manner, as natural language sentences are written either…

cs.CL2020★ 4 cited

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…

cs.CL2019★ 6 cited

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…

cs.CL2019★ 4 cited

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…

cs.CL2018★ 4 cited

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…

cs.CL2018

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…

cs.CL2017★ 82 cited

Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches

Shaohui Kuang, Deyi Xiong, Weihua Luo +1

Sentences in a well-formed text are connected to each other via various links to form the cohesive structure of the text. Current neural machine translation (NMT) systems translate…

cs.CL2017★ 3 cited

Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings

Shaohui Kuang, Junhui Li, António Branco +2

In neural machine translation, a source sequence of words is encoded into a vector from which a target sequence is generated in the decoding phase. Differently from statistical mac…