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07/31/2023
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation
Sub-word segmentation is an essential pre-processing step for Neural Mac...
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12/01/2022
Language Model Pre-training on True Negatives
Discriminative pre-trained language models (PLMs) learn to predict origi...
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11/29/2022
Extending the Subwording Model of Multilingual Pretrained Models for New Languages
Multilingual pretrained models are effective for machine translation and...
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08/28/2021
Smoothing Dialogue States for Open Conversational Machine Reading
Conversational machine reading (CMR) requires machines to communicate wi...
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08/25/2021
YANMTT: Yet Another Neural Machine Translation Toolkit
In this paper we present our open-source neural machine translation (NMT...
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04/08/2021
User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization
Morphological analysis (MA) and lexical normalization (LN) are both impo...
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02/11/2021
Text Compression-aided Transformer Encoding
Text encoding is one of the most important steps in Natural Language Pro...
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10/11/2020
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task
In this paper, we introduced our joint team SJTU-NICT 's participation i...
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07/28/2020
A System for Worldwide COVID-19 Information Aggregation
The global pandemic of COVID-19 has made the public pay close attention ...
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04/21/2020
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
Unsupervised neural machine translation (UNMT) has recently achieved rem...
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04/09/2020
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
Unsupervised neural machine translation (UNMT) that relies solely on mas...
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04/08/2020
Explicit Reordering for Neural Machine Translation
In Transformer-based neural machine translation (NMT), the positional en...
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04/05/2020
Reference Language based Unsupervised Neural Machine Translation
Exploiting common language as an auxiliary for better translation has a ...
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02/28/2020
Modeling Future Cost for Neural Machine Translation
Existing neural machine translation (NMT) systems utilize sequence-to-se...
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02/28/2020
Robust Unsupervised Neural Machine Translation with Adversarial Training
Unsupervised neural machine translation (UNMT) has recently attracted gr...
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01/23/2020
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation
Sequence-to-sequence (S2S) pre-training using large monolingual data is ...
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12/27/2019
Explicit Sentence Compression for Neural Machine Translation
State-of-the-art Transformer-based neural machine translation (NMT) syst...
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11/07/2019
Probing Contextualized Sentence Representations with Visual Awareness
We present a universal framework to model contextualized sentence repres...
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10/31/2019
Document-level Neural Machine Translation with Inter-Sentence Attention
Standard neural machine translation (NMT) is on the assumption of docume...
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09/02/2019
Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation
Reduction of training time is an important issue in many tasks like pate...
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08/26/2019
An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation
Domain adaptation methods have been well-studied in supervised neural ma...
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09/19/2018
NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task
This paper presents the NICT's participation in the WMT18 shared paralle...
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09/19/2018
NICT's Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task
This paper presents the NICT's participation to the WMT18 shared news tr...
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08/25/2018
Exploring Recombination for Efficient Decoding of Neural Machine Translation
In Neural Machine Translation (NMT), the decoder can capture the feature...
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05/01/2018
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation
Traditional Neural machine translation (NMT) involves a fixed training p...
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02/17/2018
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
This paper presented an open-source neural machine translation toolkit n...
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11/12/2017
Syntax-Directed Attention for Neural Machine Translation
Attention mechanism, including global attention and local attention, pla...
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09/14/2016
Neural Machine Translation with Supervised Attention
The attention mechanisim is appealing for neural machine translation, si...
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07/29/2016
