Chengqing Zong

is this you? claim profile

∙ 0 followers

Professor at National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences

Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT

Neural machine translation (NMT), a new approach to machine translation,...
11/13/2017 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Towards Neural Machine Translation with Partially Aligned Corpora

While neural machine translation (NMT) has become the new paradigm, the ...
11/03/2017 ∙ by Yining Wang, et al. ∙ 0 ∙ share

read it
Look-ahead Attention for Generation in Neural Machine Translation

The attention model has become a standard component in neural machine tr...
08/30/2017 ∙ by Long Zhou, et al. ∙ 0 ∙ share

read it
Neural System Combination for Machine Translation

Neural machine translation (NMT) becomes a new approach to machine trans...
04/21/2017 ∙ by Long Zhou, et al. ∙ 0 ∙ share

read it
Shortcut Sequence Tagging

Deep stacked RNNs are usually hard to train. Adding shortcut connections...
01/03/2017 ∙ by Huijia Wu, et al. ∙ 0 ∙ share

read it
Bridging Neural Machine Translation and Bilingual Dictionaries

Neural Machine Translation (NMT) has become the new state-of-the-art in ...
10/24/2016 ∙ by Jiajun Zhang, et al. ∙ 0 ∙ share

read it
An Empirical Exploration of Skip Connections for Sequential Tagging

In this paper, we empirically explore the effects of various kinds of sk...
10/11/2016 ∙ by Huijia Wu, et al. ∙ 0 ∙ share

read it
A Dynamic Window Neural Network for CCG Supertagging

Combinatory Category Grammar (CCG) supertagging is a task to assign lexi...
10/10/2016 ∙ by Huijia Wu, et al. ∙ 0 ∙ share

read it
Neural Name Translation Improves Neural Machine Translation

In order to control computational complexity, neural machine translation...
07/07/2016 ∙ by Xiaoqing Li, et al. ∙ 0 ∙ share

read it
Beyond Word-based Language Model in Statistical Machine Translation

Language model is one of the most important modules in statistical machi...
02/05/2015 ∙ by Jiajun Zhang, et al. ∙ 0 ∙ share

read it
Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics

Multimodal models have been proven to outperform text-based approaches o...
11/15/2017 ∙ by Shaonan Wang, et al. ∙ 0 ∙ share

read it
Learning Multimodal Word Representation via Dynamic Fusion Methods

Multimodal models have been proven to outperform text-based models on le...
01/02/2018 ∙ by Shaonan Wang, et al. ∙ 0 ∙ share

read it
Phrase Table as Recommendation Memory for Neural Machine Translation

Neural Machine Translation (NMT) has drawn much attention due to its pro...
05/25/2018 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

read it
Language-Independent Representor for Neural Machine Translation

Current Neural Machine Translation (NMT) employs a language-specific enc...
11/01/2018 ∙ by Long Zhou, et al. ∙ 0 ∙ share

read it
Synchronous Bidirectional Inference for Neural Sequence Generation

In sequence to sequence generation tasks (e.g. machine translation and a...
02/24/2019 ∙ by Jiajun Zhang, et al. ∙ 0 ∙ share

read it
End-to-End Speech Translation with Knowledge Distillation

End-to-end speech translation (ST), which directly translates from sourc...
04/17/2019 ∙ by Yuchen Liu, et al. ∙ 0 ∙ share

read it
Synchronous Bidirectional Neural Machine Translation

Existing approaches to neural machine translation (NMT) generate the tar...
05/13/2019 ∙ by Long Zhou, et al. ∙ 0 ∙ share

read it
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference

Dialogue contexts are proven helpful in the spoken language understandin...
06/05/2019 ∙ by He Bai, et al. ∙ 0 ∙ share

read it
Incremental Learning from Scratch for Task-Oriented Dialogue Systems

Clarifying user needs is essential for existing task-oriented dialogue s...
06/12/2019 ∙ by Weikang Wang, et al. ∙ 0 ∙ share

read it
Sequence Generation: From Both Sides to the Middle

The encoder-decoder framework has achieved promising process for many se...
06/23/2019 ∙ by Long Zhou, et al. ∙ 0 ∙ share

read it
Are You for Real? Detecting Identity Fraud via Dialogue Interactions

Identity fraud detection is of great importance in many real-world scena...
08/19/2019 ∙ by Weikang Wang, et al. ∙ 0 ∙ share

read it
NCLS: Neural Cross-Lingual Summarization

Cross-lingual summarization (CLS) is the task to produce a summary in on...
08/31/2019 ∙ by Junnan Zhu, et al. ∙ 0 ∙ share

read it
Understanding Memory Modules on Learning Simple Algorithms

Recent work has shown that memory modules are crucial for the generaliza...
07/01/2019 ∙ by Kexin Wang, et al. ∙ 0 ∙ share

read it
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding

Speech-to-text translation (ST), which translates source language speech...
12/16/2019 ∙ by Yuchen Liu, et al. ∙ 0 ∙ share

read it
Neural Machine Translation: Challenges, Progress and Future

Machine translation (MT) is a technique that leverages computers to tran...
04/13/2020 ∙ by Jiajun Zhang, et al. ∙ 0 ∙ share

read it

Chengqing Zong

Featured Co-authors

Ming Zhou

Qian Wang

Yining Wang

Mu Li

Jiajun Zhang

Yang Zhao

Hua Wu

Haifeng Wang

Yu Zhou

Shujie Liu

Qian Li

Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT

Towards Neural Machine Translation with Partially Aligned Corpora

Look-ahead Attention for Generation in Neural Machine Translation

Neural System Combination for Machine Translation

Shortcut Sequence Tagging

Bridging Neural Machine Translation and Bilingual Dictionaries

An Empirical Exploration of Skip Connections for Sequential Tagging

A Dynamic Window Neural Network for CCG Supertagging

Neural Name Translation Improves Neural Machine Translation

Beyond Word-based Language Model in Statistical Machine Translation

Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics

Learning Multimodal Word Representation via Dynamic Fusion Methods

Phrase Table as Recommendation Memory for Neural Machine Translation

Language-Independent Representor for Neural Machine Translation

Synchronous Bidirectional Inference for Neural Sequence Generation

End-to-End Speech Translation with Knowledge Distillation

Synchronous Bidirectional Neural Machine Translation

Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference

Incremental Learning from Scratch for Task-Oriented Dialogue Systems

Sequence Generation: From Both Sides to the Middle

Are You for Real? Detecting Identity Fraud via Dialogue Interactions

NCLS: Neural Cross-Lingual Summarization

Understanding Memory Modules on Learning Simple Algorithms

Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding

Neural Machine Translation: Challenges, Progress and Future