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07/05/2023
To be or not to be: a translation reception study of a literary text translated into Dutch and Catalan using machine translation
This article presents the results of a study involving the reception of ...
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05/31/2023
Multilingual Multi-Figurative Language Detection
Figures of speech help people express abstract concepts and evoke strong...
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05/31/2023
Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios
We tackle the task of automatically discriminating between human and mac...
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04/26/2023
Multidimensional Evaluation for Text Style Transfer Using ChatGPT
We investigate the potential of ChatGPT as a multidimensional evaluator ...
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02/28/2023
Are Character-level Translations Worth the Wait? An Extensive Comparison of Character- and Subword-level Models for Machine Translation
Pretrained large character-level language models have been recently revi...
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12/02/2022
Subword-Delimited Downsampling for Better Character-Level Translation
Subword-level models have been the dominant paradigm in NLP. However, ch...
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05/27/2022
Patching Leaks in the Charformer for Efficient Character-Level Generation
Character-based representations have important advantages over subword-b...
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05/24/2022
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages
We introduce DivEMT, the first publicly available post-editing study of ...
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05/10/2022
The Importance of Context in Very Low Resource Language Modeling
This paper investigates very low resource language model pretraining, wh...
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04/15/2022
Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer
Although text style transfer has witnessed rapid development in recent y...
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04/12/2022
Creativity in translation: machine translation as a constraint for literary texts
This article presents the results of a study involving the translation o...
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03/16/2022
Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer
We exploit the pre-trained seq2seq model mBART for multilingual text sty...
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09/24/2021
Unsupervised Translation of German–Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
This paper describes the methods behind the systems submitted by the Uni...
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09/09/2021
Generic resources are what you need: Style transfer tasks without task-specific parallel training data
Style transfer aims to rewrite a source text in a different target style...
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05/14/2021
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer
Scarcity of parallel data causes formality style transfer models to have...
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01/15/2021
The Impact of Post-editing and Machine Translation on Creativity and Reading Experience
This article presents the results of a study involving the translation o...
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11/30/2020
Machine Translation of Novels in the Age of Transformer
In this chapter we build a machine translation (MT) system tailored to t...
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11/09/2020
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
We combine character-level and contextual language model representations...
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06/15/2020
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-Chinese
This research presents a fine-grained human evaluation to compare the Tr...
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05/12/2020
Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019
We reassess the claims of human parity and super-human performance made ...
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04/03/2020
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation
The quality of machine translation has increased remarkably over the pas...
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07/01/2019
Post-editese: an Exacerbated Translationese
Post-editing (PE) machine translation (MT) is widely used for disseminat...
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06/19/2019
The Effect of Translationese in Machine Translation Test Sets
The effect of translationese has been studied in the field of machine tr...
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10/30/2018
Exploring Neural Methods for Parsing Discourse Representation Structures
Neural methods have had several recent successes in semantic parsing, th...
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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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02/02/2018
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
This paper presents a quantitative fine-grained manual evaluation approa...
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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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06/14/2017
Fine-grained human evaluation of neural versus phrase-based machine translation
We compare three approaches to statistical machine translation (pure phr...
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01/11/2017