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05/31/2023
How Does Pretraining Improve Discourse-Aware Translation?
Pretrained language models (PLMs) have produced substantial improvements...
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05/03/2023
TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization
Recent pre-trained language models (PLMs) achieve promising results in e...
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04/04/2023
Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation
ChatGPT, a large-scale language model based on the advanced GPT-3.5 arch...
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02/17/2023
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors
Fine-grained information on translation errors is helpful for the transl...
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12/20/2022
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis
The state-of-the-art language model-based automatic metrics, e.g. BARTSc...
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12/08/2022
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
Transfer learning is a simple and powerful method that can be used to bo...
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10/18/2022
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task
In this paper, we present our submission to the sentence-level MQM bench...
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10/18/2022
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task
In this report, we present our submission to the WMT 2022 Metrics Shared...
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04/28/2022
Attention Mechanism with Energy-Friendly Operations
Attention mechanism has become the dominant module in natural language p...
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04/28/2022
RoBLEURT Submission for the WMT2021 Metrics Task
In this paper, we present our submission to Shared Metrics Task: RoBLEUR...
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04/28/2022
UniTE: Unified Translation Evaluation
Translation quality evaluation plays a crucial role in machine translati...
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11/07/2021
Variance-Aware Machine Translation Test Sets
We release 70 small and discriminative test sets for machine translation...
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10/05/2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation
Pre-training (PT) and back-translation (BT) are two simple and powerful ...
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07/30/2021
Difficulty-Aware Machine Translation Evaluation
The high-quality translation results produced by machine translation (MT...
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07/17/2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation
Previous studies have shown that initializing neural machine translation...
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06/10/2021
Progressive Multi-Granularity Training for Non-Autoregressive Translation
Non-autoregressive translation (NAT) significantly accelerates the infer...
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06/02/2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
Knowledge distillation (KD) is commonly used to construct synthetic data...
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03/03/2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Meta-learning has been sufficiently validated to be beneficial for low-r...
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12/29/2020
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
Encoder layer fusion (EncoderFusion) is a technique to fuse all the enco...
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12/29/2020
Understanding and Improving Lexical Choice in Non-Autoregressive Translation
Knowledge distillation (KD) is essential for training non-autoregressive...
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10/09/2020
Self-Paced Learning for Neural Machine Translation
Recent studies have proven that the training of neural machine translati...
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07/14/2020
Modeling Voting for System Combination in Machine Translation
System combination is an important technique for combining the hypothese...
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06/03/2020
Norm-Based Curriculum Learning for Neural Machine Translation
A neural machine translation (NMT) system is expensive to train, especia...
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12/11/2019
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
As a special machine translation task, dialect translation has two main ...
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06/07/2019
Shared-Private Bilingual Word Embeddings for Neural Machine Translation
Word embedding is central to neural machine translation (NMT), which has...
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06/05/2019
Learning Deep Transformer Models for Machine Translation
Transformer is the state-of-the-art model in recent machine translation ...
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06/03/2019
Assessing the Ability of Self-Attention Networks to Learn Word Order
Self-attention networks (SAN) have attracted a lot of interests due to t...
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10/31/2018
Convolutional Self-Attention Network
Self-attention network (SAN) has recently attracted increasing interest ...
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10/24/2018
Modeling Localness for Self-Attention Networks
Self-attention networks have proven to be of profound value for its stre...
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07/17/2017