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10/24/2022
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation
Customer feedback can be an important signal for improving commercial ma...
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10/10/2022
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation
A major open problem in neural machine translation (NMT) is the translat...
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05/13/2022
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation
Vocabulary selection, or lexical shortlisting, is a well-known technique...
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05/09/2018
Neural Machine Translation Decoding with Terminology Constraints
Despite the impressive quality improvements yielded by neural machine tr...
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04/30/2018
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment
We describe a batched beam decoding algorithm for NMT with LMBR n-gram p...
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08/05/2017
A Comparison of Neural Models for Word Ordering
We compare several language models for the word-ordering task and propos...
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07/21/2017
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies
This paper introduces SGNMT, our experimental platform for machine trans...
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12/12/2016
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
We present a novel scheme to combine neural machine translation (NMT) wi...
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06/15/2016
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16
This paper presents the University of Cambridge submission to WMT16. Mot...
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05/15/2016
Syntactically Guided Neural Machine Translation
We investigate the use of hierarchical phrase-based SMT lattices in end-...
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10/15/2015