b'Antonio Toral'

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research

∙ 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 ...

0 Ana Guerberof Arenas, et al. ∙

research

∙ 05/31/2023

Multilingual Multi-Figurative Language Detection

Figures of speech help people express abstract concepts and evoke strong...

0 Huiyuan Lai, et al. ∙

research

∙ 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...

0 Malina Chichirau, et al. ∙

research

∙ 04/26/2023

Multidimensional Evaluation for Text Style Transfer Using ChatGPT

We investigate the potential of ChatGPT as a multidimensional evaluator ...

2 Huiyuan Lai, et al. ∙

research

∙ 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...

0 Lukas Edman, et al. ∙

research

∙ 12/02/2022

Subword-Delimited Downsampling for Better Character-Level Translation

Subword-level models have been the dominant paradigm in NLP. However, ch...

0 Lukas Edman, et al. ∙

research

∙ 05/27/2022

Patching Leaks in the Charformer for Efficient Character-Level Generation

Character-based representations have important advantages over subword-b...

0 Lukas Edman, et al. ∙

research

∙ 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 ...

0 Gabriele Sarti, et al. ∙

research

∙ 05/10/2022

The Importance of Context in Very Low Resource Language Modeling

This paper investigates very low resource language model pretraining, wh...

0 Lukas Edman, et al. ∙

research

∙ 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...

2 Huiyuan Lai, et al. ∙

research

∙ 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...

0 Ana Guerberof Arenas, et al. ∙

research

∙ 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...

9 Huiyuan Lai, et al. ∙

research

∙ 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...

0 Lukas Edman, et al. ∙

research

∙ 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...

0 Huiyuan Lai, et al. ∙

research

∙ 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...

0 Huiyuan Lai, et al. ∙

research

∙ 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...

0 Ana Guerberof Arenas, et al. ∙

research

∙ 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...

0 Antonio Toral, et al. ∙

research

∙ 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...

0 Rik van Noord, et al. ∙

research

∙ 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...

0 Yuying Ye, et al. ∙

research

∙ 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 ...

0 Antonio Toral, et al. ∙

research

∙ 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...

2 Samuel Läubli, et al. ∙

research

∙ 07/01/2019

Post-editese: an Exacerbated Translationese

Post-editing (PE) machine translation (MT) is widely used for disseminat...

0 Antonio Toral, et al. ∙

research

∙ 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...

0 Mike Zhang, et al. ∙

research

∙ 10/30/2018

Exploring Neural Methods for Parsing Discourse Representation Structures

Neural methods have had several recent successes in semantic parsing, th...

0 Rik van Noord, et al. ∙

research

∙ 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...

0 Antonio Toral, et al. ∙

research

∙ 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...

0 Filip Klubička, et al. ∙

research

∙ 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...

0 Antonio Toral, et al. ∙

research

∙ 06/14/2017

Fine-grained human evaluation of neural versus phrase-based machine translation

We compare three approaches to statistical machine translation (pure phr...

0 Filip Klubička, et al. ∙

research

∙ 01/11/2017

A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions

We aim to shed light on the strengths and weaknesses of the newly introd...

0 Antonio Toral, et al. ∙

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