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06/08/2023
Improving Language Model Integration for Neural Machine Translation
The integration of language models for neural machine translation has be...
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10/24/2022
Does Joint Training Really Help Cascaded Speech Translation?
Currently, in speech translation, the straightforward approach - cascadi...
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10/21/2022
Is Encoder-Decoder Redundant for Neural Machine Translation?
Encoder-decoder architecture is widely adopted for sequence-to-sequence ...
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10/21/2022
Revisiting Checkpoint Averaging for Neural Machine Translation
Checkpoint averaging is a simple and effective method to boost the perfo...
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11/11/2021
Self-Normalized Importance Sampling for Neural Language Modeling
To mitigate the problem of having to traverse over the full vocabulary i...
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04/21/2021
On Sampling-Based Training Criteria for Neural Language Modeling
As the vocabulary size of modern word-based language models becomes ever...
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10/19/2020
Diving Deep into Context-Aware Neural Machine Translation
Context-aware neural machine translation (NMT) is a promising direction ...
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05/20/2020
Investigation of Large-Margin Softmax in Neural Language Modeling
To encourage intra-class compactness and inter-class separability among ...
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10/28/2019
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Prominently used in support vector machines and logistic regressions, ke...
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08/26/2019
uniblock: Scoring and Filtering Corpus with Unicode Block Information
The preprocessing pipelines in Natural Language Processing usually invol...
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05/14/2019