TraMOOC (Translation for Massive Open Online Courses): providing reliable MT for MOOCs

no code implementations • EAMT 2016 • Valia Kordoni, Lexi Birch, Ioana Buliga, Kostadin Cholakov, Markus Egg, Federico Gaspari, Yota Georgakopolou, Maria Gialama, Iris Hendrickx, Mitja Jermol, Katia Kermanidis, Joss Moorkens, Davor Orlic, Michael Papadopoulos, Maja Popović, Rico Sennrich, Vilelmini Sosoni, Dimitrios Tsoumakos, Antal Van den Bosch, Menno van Zaanen, Andy Way

Translation

Neural Machine Translation between similar South-Slavic languages

no code implementations • WMT (EMNLP) 2020 • Maja Popović, Alberto Poncelas

This paper describes the ADAPT-DCU machine translation systems built for the WMT 2020 shared task on Similar Language Translation.

Machine Translation NMT +1

Leveraging Pre-trained Language Models for Gender Debiasing

no code implementations • LREC 2022 • Nishtha Jain, Declan Groves, Lucia Specia, Maja Popović

This work explores a light-weight method to generate gender variants for a given text using pre-trained language models as the resource, without any task-specific labelled data.

Text Generation

A Reproduction Study of an Annotation-based Human Evaluation of MT Outputs

no code implementations • INLG (ACL) 2021 • Maja Popović, Anya Belz

In this paper we report our reproduction study of the Croatian part of an annotation-based human evaluation of machine-translated user reviews (Popovic, 2020).

Experimental Design

Neural Machine Translation for translating into Croatian and Serbian

no code implementations • VarDial (COLING) 2020 • Maja Popović, Alberto Poncelas, Marija Brkic, Andy Way

Furthermore, translation performance from English is much better than from German, partly because German is morphologically more complex and partly because the corpus consists mostly of parallel human translations instead of original text and its human translation.

Machine Translation NMT +1

On Machine Translation of User Reviews

no code implementations • RANLP 2021 • Maja Popović, Alberto Poncelas, Marija Brkic, Andy Way

This work investigates neural machine translation (NMT) systems for translating English user reviews into Croatian and Serbian, two similar morphologically complex languages.

Machine Translation NMT +1

A General Framework for Detecting Metaphorical Collocations

no code implementations • LREC (MWE) 2022 • Marija Brkić Bakarić, Lucia Načinović Prskalo, Maja Popović

This paper aims at identifying a specific set of collocations known under the term metaphorical collocations.

Relation Word Embeddings

Agree to Disagree: Analysis of Inter-Annotator Disagreements in Human Evaluation of Machine Translation Output

no code implementations • CoNLL (EMNLP) 2021 • Maja Popović

This work describes an analysis of inter-annotator disagreements in human evaluation of machine translation output.

Machine Translation Negation +1

DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations

1 code implementation • LREC 2022 • Ekaterina Lapshinova-Koltunski, Maja Popović, Maarit Koponen

The resulting corpus consists of English news and reviews source texts, their translations into Russian and Croatian, and translations of the reviews into Finnish.

Machine Translation Translation

Quantified Reproducibility Assessment of NLP Results

no code implementations • ACL 2022 • Anya Belz, Maja Popović, Simon Mille

This paper describes and tests a method for carrying out quantified reproducibility assessment (QRA) that is based on concepts and definitions from metrology.