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08/22/2023
Towards an On-device Agent for Text Rewriting
Large Language Models (LLMs) have demonstrated impressive capabilities f...
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11/08/2022
Conciseness: An Overlooked Language Task
We report on novel investigations into training models that make sentenc...
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06/14/2022
Text Generation with Text-Editing Models
Text-editing models have recently become a prominent alternative to seq2...
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05/02/2022
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES
The softmax layer in neural machine translation is designed to model the...
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04/01/2022
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models
In many natural language processing (NLP) tasks the same input (e.g. sou...
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02/01/2022
Transformer-based Models of Text Normalization for Speech Applications
Text normalization, or the process of transforming text into a consisten...
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05/27/2021
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models
Synthetic data generation is widely known to boost the accuracy of neura...
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09/23/2020
Seq2Edits: Sequence Transduction Using Span-level Edit Operations
We propose Seq2Edits, an open-vocabulary approach to sequence editing fo...
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05/04/2020
Using Context in Neural Machine Translation Training Objectives
We present Neural Machine Translation (NMT) training using document-leve...
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12/04/2019
Neural Machine Translation: A Review
The field of machine translation (MT), the automatic translation of writ...
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08/27/2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
We report on search errors and model errors in neural machine translatio...
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06/29/2019
The CUED's Grammatical Error Correction Systems for BEA-2019
We describe two entries from the Cambridge University Engineering Depart...
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06/13/2019
UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles
The 2019 WMT Biomedical translation task involved translating Medline ab...
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06/11/2019
Cued@wmt19:ewc&lms
Two techniques provide the fabric of the Cambridge University Engineerin...
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06/02/2019
Domain Adaptive Inference for Neural Machine Translation
We investigate adaptive ensemble weighting for Neural Machine Translatio...
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03/25/2019
Neural Grammatical Error Correction with Finite State Transducers
Grammatical error correction (GEC) is one of the areas in natural langua...
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09/01/2018
Simple Fusion: Return of the Language Model
Neural Machine Translation (NMT) typically leverages monolingual data in...
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08/29/2018
An Operation Sequence Model for Explainable Neural Machine Translation
We propose to achieve explainable neural machine translation (NMT) by ch...
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08/28/2018
The University of Cambridge's Machine Translation Systems for WMT18
The University of Cambridge submission to the WMT18 news translation tas...
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05/01/2018
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT
We explore strategies for incorporating target syntax into Neural Machin...
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03/20/2018
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
SGNMT is a decoding platform for machine translation which allows paring...
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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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04/11/2017
Unfolding and Shrinking Neural Machine Translation Ensembles
Ensembling is a well-known technique in neural machine translation (NMT)...
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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