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Source language difficulties in learner translation: Evidence from an error-annotated corpus
Kunilovskaia, Mariia; Ilyushchenya, Tatyana; Morgoun, Natalia. - : John Benjamins Publishing, 2022
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2
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers ...
Abstract: Most studies on word-level Quality Estimation (QE) of machine translation focus on language-specific models. The obvious disadvantages of these approaches are the need for labelled data for each language pair and the high cost required to maintain several language-specific models. To overcome these problems, we explore different approaches to multilingual, word-level QE. We show that these QE models perform on par with the current language-specific models. In the cases of zero-shot and few-shot QE, we demonstrate that it is possible to accurately predict word-level quality for any given new language pair from models trained on other language pairs. Our findings suggest that the word-level QE models based on powerful pre-trained transformers that we propose in this paper generalise well across languages, making them more useful in real-world scenarios. ... : Accepted to appear at the ACL-IJCNLP 2021 Main conference ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/2106.00143
https://dx.doi.org/10.48550/arxiv.2106.00143
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3
An exploratory analysis of multilingual word-level quality estimation with cross-lingual transformers
Mitkov, Ruslan; Orasan, Constantin; Ranasinghe, Tharindu. - : Association for Computational Linguistics, 2021
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4
A sequence labelling approach for automatic analysis of ello: tagging pronouns, antecedents, and connective phrases
Parodi, Giovanni; Evans, Richard; Ha, Le An. - : Springer, 2021
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5
TransQuest at WMT2020: Sentence-Level direct assessment
In: 1049 ; 1055 (2020)
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6
TransQuest: Translation quality estimation with cross-lingual transformers
In: 5070 ; 5081 (2020)
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7
Intelligent translation memory matching and retrieval with sentence encoders
In: 175 ; 184 (2020)
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8
Contributions to the Computational Treatment of Non-literal Language
Rohanian, Omid. - : University of Wolverhampton, 2020
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9
What matters more: the size of the corpora or their quality? The case of automatic translation of multiword expressions using comparable corpora.
Mitkov, Ruslan; Taslimipoor, Shiva. - : John Benjamins, 2020
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10
Gender variation in Gulf Pidgin Arabic
Albaqawi, Najah Salem. - : University of Wolverhampton, 2020
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11
RGCL at SemEval-2020 task 6: Neural approaches to definition extraction
In: 717 ; 723 (2020)
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12
Automated text simplification as a preprocessing step for machine translation into an under-resourced language
In: Štajner, Sanja orcid:0000-0002-7780-7035 and Popović, Maja orcid:0000-0001-8234-8745 (2019) Automated text simplification as a preprocessing step for machine translation into an under-resourced language. In: Recent Advances in Natural Language Processing (RANLP 2019), 2-4 Sept 2019, Varna, Bulgaria. (2019)
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13
Are ambiguous conjunctions problematic for machine translation?
In: Popović, Maja orcid:0000-0001-8234-8745 and Castilho, Sheila orcid:0000-0002-8416-6555 (2019) Are ambiguous conjunctions problematic for machine translation? In: Recent Advances in Natural Language Processing (RANLP 2019), 2 - 4 Sept 2019, Varna, Bulgaria. (2019)
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14
Natural Language Generation
In: Handbook of Computational Linguistics (2nd edition) ; https://hal.archives-ouvertes.fr/hal-02079245 ; Mitkov, Ruslan. Handbook of Computational Linguistics (2nd edition), In press (2019)
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15
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions ...
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16
Summary Refinement through Denoising
In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) (2019)
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17
Large-Scale Hierarchical Alignment for Data-driven Text Rewriting
In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) (2019)
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18
Do Online Resources Give Satisfactory Answers to Questions about Meaning and Phraseology?
Hanks, Patrick; Franklin, Emma. - : Springer, 2019
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19
RGCL at IDAT: deep learning models for irony detection in Arabic language
In: 2517 ; 416 ; 425 (2019)
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20
Bridging the gap: attending to discontinuity in identification of multiword expressions
Mitkov, Ruslan; Kouchaki, Samaneh; Taslimipoor, Shiva. - : Association for Computational Linguistics, 2019
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