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05/23/2023
Ties Matter: Modifying Kendall's Tau for Modern Metric Meta-Evaluation
Kendall's tau is frequently used to meta-evaluate how well machine trans...
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05/17/2023
Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM's Translation Capability
Large, multilingual language models exhibit surprisingly good zero- or f...
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02/16/2023
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation
Existing work in document-level neural machine translation commonly conc...
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02/02/2023
The unreasonable effectiveness of few-shot learning for machine translation
We demonstrate the potential of few-shot translation systems, trained wi...
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11/16/2022
Prompting PaLM for Translation: Assessing Strategies and Performance
Large language models (LLMs) that have been trained on multilingual but ...
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04/11/2022
Toward More Effective Human Evaluation for Machine Translation
Improvements in text generation technologies such as machine translation...
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04/29/2021
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Human evaluation of modern high-quality machine translation systems is a...
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04/12/2021
Assessing Reference-Free Peer Evaluation for Machine Translation
Reference-free evaluation has the potential to make machine translation ...
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10/20/2020
Human-Paraphrased References Improve Neural Machine Translation
Automatic evaluation comparing candidate translations to human-generated...
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10/05/2020
Inference Strategies for Machine Translation with Conditional Masking
Conditional masked language model (CMLM) training has proven successful ...
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04/07/2020
Re-translation versus Streaming for Simultaneous Translation
There has been great progress in improving streaming machine translation...
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12/06/2019
Re-Translation Strategies For Long Form, Simultaneous, Spoken Language Translation
We investigate the problem of simultaneous machine translation of long-f...
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07/11/2019
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
We introduce our efforts towards building a universal neural machine tra...
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05/31/2019
Thinking Slow about Latency Evaluation for Simultaneous Machine Translation
Simultaneous machine translation attempts to translate a source sentence...
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02/28/2019
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
We consider the problem of making efficient use of heterogeneous trainin...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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01/31/2019
Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue
We consider the problem of designing an artificial agent capable of inte...
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08/29/2018
Revisiting Character-Based Neural Machine Translation with Capacity and Compression
Translating characters instead of words or word-fragments has the potent...
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04/26/2018
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
The past year has witnessed rapid advances in sequence-to-sequence (seq2...
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04/24/2017