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09/16/2023
SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window
Reference-based metrics that operate at the sentence level typically out...
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08/14/2023
SOTASTREAM: A Streaming Approach to Machine Translation Training
Many machine translation toolkits make use of a data preparation step wh...
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05/26/2023
Do GPTs Produce Less Literal Translations?
Large Language Models (LLMs) such as GPT-3 have emerged as general-purpo...
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05/23/2023
Pixel Representations for Multilingual Translation and Data-efficient Cross-lingual Transfer
We introduce and demonstrate how to effectively train multilingual machi...
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04/25/2023
Escaping the sentence-level paradigm in machine translation
It is well-known that document context is vital for resolving a range of...
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11/19/2022
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models
In this work, we present some recommendations on the evaluation of state...
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10/23/2022
Additive Interventions Yield Robust Multi-Domain Machine Translation Models
Additive interventions are a recently-proposed mechanism for controlling...
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05/20/2022
SALTED: A Framework for SAlient Long-Tail Translation Error Detection
Traditional machine translation (MT) metrics provide an average measure ...
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04/11/2022
Large-Scale Streaming End-to-End Speech Translation with Neural Transducers
Neural transducers have been widely used in automatic speech recognition...
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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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04/16/2021
Robust Open-Vocabulary Translation from Visual Text Representations
Machine translation models have discrete vocabularies and commonly use s...
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02/02/2021
The Multilingual TEDx Corpus for Speech Recognition and Translation
We present the Multilingual TEDx corpus, built to support speech recogni...
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08/11/2020
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity
Recent work has shown that a multilingual neural machine translation (NM...
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04/30/2020
Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation
Following previous work on automatic paraphrasing, we assess the feasibi...
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04/30/2020
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing
We propose the use of a sequence-to-sequence paraphraser for automatic m...
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04/30/2020
Simulated Multiple Reference Training Improves Low-Resource Machine Translation
Many valid translations exist for a given sentence, and yet machine tran...
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09/01/2019
A Discriminative Neural Model for Cross-Lingual Word Alignment
We introduce a novel discriminative word alignment model, which we integ...
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04/11/2019
Membership Inference Attacks on Sequence-to-Sequence Models
Data privacy is an important issue for "machine learning as a service" p...
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01/11/2019
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation
We present ParaBank, a large-scale English paraphrase dataset that surpa...
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04/23/2018
A Call for Clarity in Reporting BLEU Scores
The field of machine translation is blessed with new challenges resultin...
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04/18/2018
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
The end-to-end nature of neural machine translation (NMT) removes many w...
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12/15/2017
Sockeye: A Toolkit for Neural Machine Translation
We describe Sockeye (version 1.12), an open-source sequence-to-sequence ...
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07/02/2017
Grammatical Error Correction with Neural Reinforcement Learning
We propose a neural encoder-decoder model with reinforcement learning (N...
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06/01/2017
Using of heterogeneous corpora for training of an ASR system
The paper summarizes the development of the LVCSR system built as a part...
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08/07/2016
Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network
Language processing mechanism by humans is generally more robust than co...
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05/09/2016
