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10/12/2021
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation
Neural Machine Translation (NMT) models are known to suffer from noisy i...
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09/17/2021
The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task
This paper presents the JHU-Microsoft joint submission for WMT 2021 qual...
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09/12/2021
Levenshtein Training for Word-level Quality Estimation
We propose a novel scheme to use the Levenshtein Transformer to perform ...
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04/12/2021
Evaluating Saliency Methods for Neural Language Models
Saliency methods are widely used to interpret neural network predictions...
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09/18/2019
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit
We present Espresso, an open-source, modular, extensible end-to-end neur...
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06/25/2019
Saliency-driven Word Alignment Interpretation for Neural Machine Translation
Despite their original goal to jointly learn to align and translate, Neu...
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05/24/2019
A Call for Prudent Choice of Subword Merge Operations
Most neural machine translation systems are built upon subword units ext...
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04/06/2019
Parallelizable Stack Long Short-Term Memory
Stack Long Short-Term Memory (StackLSTM) is useful for various applicati...
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11/10/2018
Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling
In recent years, end-to-end models have become popular for application i...
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06/05/2018
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?
Using pre-trained word embeddings as input layer is a common practice in...
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03/27/2018
