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09/16/2023
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Foundational large language models (LLMs) can be instruction-tuned to de...
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06/06/2023
Iterative Translation Refinement with Large Language Models
Large language models have shown surprising performances in understandin...
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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...
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05/15/2023
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
This paper introduces PMIndiaSum, a new multilingual and massively paral...
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03/28/2023
Hallucinations in Large Multilingual Translation Models
Large-scale multilingual machine translation systems have demonstrated r...
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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...
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01/17/2023
Prompting Large Language Model for Machine Translation: A Case Study
Research on prompting has shown excellent performance with little or eve...
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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...
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10/18/2022
Simultaneous Translation for Unsegmented Input: A Sliding Window Approach
In the cascaded approach to spoken language translation (SLT), the ASR o...
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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...
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05/06/2022
Quantifying Synthesis and Fusion and their Impact on Machine Translation
Theoretical work in morphological typology offers the possibility of mea...
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05/04/2022
Non-Autoregressive Machine Translation: It's Not as Fast as it Seems
Efficient machine translation models are commercially important as they ...
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09/15/2021
The ELITR ECA Corpus
We present the ELITR ECA corpus, a multilingual corpus derived from publ...
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09/01/2021
Survey of Low-Resource Machine Translation
We present a survey covering the state of the art in low-resource machin...
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06/10/2021
Exploring Unsupervised Pretraining Objectives for Machine Translation
Unsupervised cross-lingual pretraining has achieved strong results in ne...
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10/16/2020
Adaptive Feature Selection for End-to-End Speech Translation
Information in speech signals is not evenly distributed, making it an ad...
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05/30/2020
Dynamic Masking for Improved Stability in Spoken Language Translation
For spoken language translation (SLT) in live scenarios such as conferen...
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04/30/2020
Language Model Prior for Low-Resource Neural Machine Translation
The scarcity of large parallel corpora is an important obstacle for neur...
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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...
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01/27/2020
PMIndia – A Collection of Parallel Corpora of Languages of India
Parallel text is required for building high-quality machine translation ...
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06/24/2019
Translationese in Machine Translation Evaluation
The term translationese has been used to describe the presence of unusua...
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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...
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11/01/2017
Evaluating Discourse Phenomena in Neural Machine Translation
For machine translation to tackle discourse phenomena, models must have ...
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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...
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07/31/2017
Regularization techniques for fine-tuning in neural machine translation
We investigate techniques for supervised domain adaptation for neural ma...
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07/24/2017
Deep Architectures for Neural Machine Translation
It has been shown that increasing model depth improves the quality of ne...
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03/13/2017
Nematus: a Toolkit for Neural Machine Translation
We present Nematus, a toolkit for Neural Machine Translation. The toolki...
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06/30/2016
HUME: Human UCCA-Based Evaluation of Machine Translation
Human evaluation of machine translation normally uses sentence-level mea...
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06/09/2016
Linguistic Input Features Improve Neural Machine Translation
Neural machine translation has recently achieved impressive results, whi...
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06/09/2016
Edinburgh Neural Machine Translation Systems for WMT 16
We participated in the WMT 2016 shared news translation task by building...
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11/20/2015
Improving Neural Machine Translation Models with Monolingual Data
Neural Machine Translation (NMT) has obtained state-of-the art performan...
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08/31/2015
