b'Barry Haddow'

research

∙ 09/16/2023

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

Foundational large language models (LLMs) can be instruction-tuned to de...

0 Pinzhen Chen, et al. ∙

research

∙ 06/06/2023

Iterative Translation Refinement with Large Language Models

Large language models have shown surprising performances in understandin...

0 Pinzhen Chen, et al. ∙

research

∙ 05/23/2023

When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale

Multilingual machine translation (MMT), trained on a mixture of parallel...

0 Christos Baziotis, et al. ∙

research

∙ 05/15/2023

PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India

This paper introduces PMIndiaSum, a new multilingual and massively paral...

0 Ashok Urlana, et al. ∙

research

∙ 03/28/2023

Hallucinations in Large Multilingual Translation Models

Large-scale multilingual machine translation systems have demonstrated r...

0 Nuno M. Guerreiro, et al. ∙

research

∙ 02/21/2023

Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation

For end-to-end speech translation, regularizing the encoder with the Con...

0 Biao Zhang, et al. ∙

research

∙ 01/17/2023

Prompting Large Language Model for Machine Translation: A Case Study

Research on prompting has shown excellent performance with little or eve...

0 Biao Zhang, et al. ∙

research

∙ 10/24/2022

Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation

For real-life applications, it is crucial that end-to-end spoken languag...

0 Chantal Amrhein, et al. ∙

research

∙ 10/18/2022

Simultaneous Translation for Unsegmented Input: A Sliding Window Approach

In the cascaded approach to spoken language translation (SLT), the ASR o...

15 Sukanta Sen, et al. ∙

research

∙ 06/09/2022

Revisiting End-to-End Speech-to-Text Translation From Scratch

End-to-end (E2E) speech-to-text translation (ST) often depends on pretra...

0 Biao Zhang, et al. ∙

research

∙ 05/06/2022

Quantifying Synthesis and Fusion and their Impact on Machine Translation

Theoretical work in morphological typology offers the possibility of mea...

0 Arturo Oncevay, et al. ∙

research

∙ 05/04/2022

Non-Autoregressive Machine Translation: It's Not as Fast as it Seems

Efficient machine translation models are commercially important as they ...

0 Jindřich Helcl, et al. ∙

research

∙ 09/15/2021

The ELITR ECA Corpus

We present the ELITR ECA corpus, a multilingual corpus derived from publ...

0 Philip Williams, et al. ∙

research

∙ 09/01/2021

Survey of Low-Resource Machine Translation

We present a survey covering the state of the art in low-resource machin...

0 Barry Haddow, et al. ∙

research

∙ 06/10/2021

Exploring Unsupervised Pretraining Objectives for Machine Translation

Unsupervised cross-lingual pretraining has achieved strong results in ne...

8 Christos Baziotis, et al. ∙

research

∙ 10/16/2020

Adaptive Feature Selection for End-to-End Speech Translation

Information in speech signals is not evenly distributed, making it an ad...

15 Biao Zhang, et al. ∙

research

∙ 05/30/2020

Dynamic Masking for Improved Stability in Spoken Language Translation

For spoken language translation (SLT) in live scenarios such as conferen...

0 Yuekun Yao, et al. ∙

research

∙ 04/30/2020

Language Model Prior for Low-Resource Neural Machine Translation

The scarcity of large parallel corpora is an important obstacle for neur...

0 Christos Baziotis, et al. ∙

research

∙ 04/30/2020

Bridging linguistic typology and multilingual machine translation with multi-view language representations

Sparse language vectors from linguistic typology databases and learned e...

0 Arturo Oncevay, et al. ∙

research

∙ 01/27/2020

PMIndia – A Collection of Parallel Corpora of Languages of India

Parallel text is required for building high-quality machine translation ...

0 Barry Haddow, et al. ∙

research

∙ 06/24/2019

Translationese in Machine Translation Evaluation

The term translationese has been used to describe the presence of unusua...

0 Yvette Graham, et al. ∙

research

∙ 09/02/2018

Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting

A popular application of machine translation (MT) is gisting: MT is cons...

0 Mikel L. Forcada, et al. ∙

research

∙ 11/01/2017

Evaluating Discourse Phenomena in Neural Machine Translation

For machine translation to tackle discourse phenomena, models must have ...

0 Rachel Bawden, et al. ∙

research

∙ 08/02/2017

The University of Edinburgh's Neural MT Systems for WMT17

This paper describes the University of Edinburgh's submissions to the WM...

0 Rico Sennrich, et al. ∙

research

∙ 07/31/2017

Regularization techniques for fine-tuning in neural machine translation

We investigate techniques for supervised domain adaptation for neural ma...

0 Antonio Valerio Miceli Barone, et al. ∙

research

∙ 07/24/2017

Deep Architectures for Neural Machine Translation

It has been shown that increasing model depth improves the quality of ne...

0 Antonio Valerio Miceli Barone, et al. ∙

research

∙ 03/13/2017

Nematus: a Toolkit for Neural Machine Translation

We present Nematus, a toolkit for Neural Machine Translation. The toolki...

0 Rico Sennrich, et al. ∙

research

∙ 06/30/2016

HUME: Human UCCA-Based Evaluation of Machine Translation

Human evaluation of machine translation normally uses sentence-level mea...

0 Alexandra Birch, et al. ∙

research

∙ 06/09/2016

Linguistic Input Features Improve Neural Machine Translation

Neural machine translation has recently achieved impressive results, whi...

0 Rico Sennrich, et al. ∙

research

∙ 06/09/2016

Edinburgh Neural Machine Translation Systems for WMT 16

We participated in the WMT 2016 shared news translation task by building...

0 Rico Sennrich, et al. ∙

research

∙ 11/20/2015

Improving Neural Machine Translation Models with Monolingual Data

Neural Machine Translation (NMT) has obtained state-of-the art performan...

0 Rico Sennrich, et al. ∙

research

∙ 08/31/2015

Neural Machine Translation of Rare Words with Subword Units

Neural machine translation (NMT) models typically operate with a fixed v...

0 Rico Sennrich, et al. ∙

Barry Haddow

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