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01/30/2023
Adaptive Machine Translation with Large Language Models
Consistency is a key requirement of high-quality translation. It is espe...
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10/23/2022
Translation Word-Level Auto-Completion: What can we achieve out of the box?
Research on Machine Translation (MT) has achieved important breakthrough...
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08/11/2022
Domain-Specific Text Generation for Machine Translation
Preservation of domain knowledge from the source to target is crucial in...
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11/28/2020
Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality
Building Machine Translation (MT) systems for low-resource languages rem...
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08/25/2020
The Impact of Indirect Machine Translation on Sentiment Classification
Sentiment classification has been crucial for many natural language proc...
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05/01/2020
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
Machine translation (MT) has benefited from using synthetic training dat...
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05/01/2020
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
Every day, more people are becoming infected and dying from exposure to ...
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04/23/2020
Multiple Segmentations of Thai Sentences for Neural Machine Translation
Thai is a low-resource language, so it is often the case that data is no...
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04/23/2020
A Tool for Facilitating OCR Postediting in Historical Documents
Optical character recognition (OCR) for historical documents is a comple...
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03/30/2020
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Multilingualism is a cultural cornerstone of Europe and firmly anchored ...
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09/26/2019
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation
Neural Machine Translation (NMT) models tend to achieve best performance...
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09/11/2019
Getting Gender Right in Neural Machine Translation
Speakers of different languages must attend to and encode strikingly dif...
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09/09/2019
Combining SMT and NMT Back-Translated Data for Efficient NMT
Neural Machine Translation (NMT) models achieve their best performance w...
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08/26/2019
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation
Machine Translation models are trained to translate a variety of documen...
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06/28/2019
Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation
This work presents an empirical approach to quantifying the loss of lexi...
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06/18/2019
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods
Data selection has proven its merit for improving Neural Machine Transla...
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02/28/2019
No Padding Please: Efficient Neural Handwriting Recognition
Neural handwriting recognition (NHR) is the recognition of handwritten t...
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02/23/2019
ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction
We present our system for the CLIN29 shared task on cross-genre gender d...
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11/14/2018
The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task
In this paper we present the ADAPT system built for the Basque to Englis...
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11/07/2018
Data Selection with Feature Decay Algorithms Using an Approximated Target Side
Data selection techniques applied to neural machine translation (NMT) ai...
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10/15/2018
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism
Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...
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09/03/2018
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
Attention mechanisms are often used in deep neural networks for distantl...
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08/30/2018
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
We reassess a recent study (Hassan et al., 2018) that claimed that machi...
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04/17/2018
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation
Recently, neural machine translation (NMT) has emerged as a powerful alt...
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04/17/2018
Investigating Backtranslation in Neural Machine Translation
A prerequisite for training corpus-based machine translation (MT) system...
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03/22/2018
Quality expectations of machine translation
Machine Translation (MT) is being deployed for a range of use-cases by m...
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01/15/2018
What Level of Quality can Neural Machine Translation Attain on Literary Text?
Given the rise of a new approach to MT, Neural MT (NMT), and its promisi...
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04/14/2017
Exploiting Cross-Sentence Context for Neural Machine Translation
In translation, considering the document as a whole can help to resolve ...
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05/22/2016
Automatic Construction of Discourse Corpora for Dialogue Translation
In this paper, a novel approach is proposed to automatically construct p...
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04/21/2016