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Source language difficulties in learner translation: Evidence from an error-annotated corpus
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An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers ...
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An exploratory analysis of multilingual word-level quality estimation with cross-lingual transformers
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A sequence labelling approach for automatic analysis of ello: tagging pronouns, antecedents, and connective phrases
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Abstract:
This is an accepted manuscript of an article published by Springer in Language Resources and Evaluation on 04/09/2021, available online: https://doi.org/10.1007/s10579-021-09559-z The accepted version of the publication may differ from the final published version. ; Encapsulators are linguistic units which establish coherent referential connections to the preceding discourse in a text. In this paper, we address the challenge of automatically analysing the pronominal encapsulator ello in Spanish text. Our method identifies, for each occurrence, the antecedent of the pronoun (including its grammatical type), the connective phrase which combines with the pronoun to express a discourse relation linking the antecedent text segment to the following text segment, and the type of semantic relation expressed by the complex discourse marker formed by the connective phrase and pronoun. We describe our annotation of a corpus to inform the development of our method and to finetune an automatic analyser based on bidirectional encoder representation transformers (BERT). On testing our method, we find that it performs with greater accuracy than three baselines (0.76 for the resolution task), and sets a promising benchmark for the automatic annotation of occurrences of the pronoun ello, their antecedents, and the semantic relations between the two text segments linked by the connective in combination with the pronoun.
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Keyword:
anaphora resolution; ello; encapsulation; referential coherence; relational coherence
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URL: https://doi.org/10.1007/s10579-021-09559-z http://hdl.handle.net/2436/624306
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TransQuest at WMT2020: Sentence-Level direct assessment
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In: 1049 ; 1055 (2020)
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TransQuest: Translation quality estimation with cross-lingual transformers
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In: 5070 ; 5081 (2020)
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Intelligent translation memory matching and retrieval with sentence encoders
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In: 175 ; 184 (2020)
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Contributions to the Computational Treatment of Non-literal Language
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What matters more: the size of the corpora or their quality? The case of automatic translation of multiword expressions using comparable corpora.
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RGCL at SemEval-2020 task 6: Neural approaches to definition extraction
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In: 717 ; 723 (2020)
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Automated text simplification as a preprocessing step for machine translation into an under-resourced language
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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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Are ambiguous conjunctions problematic for machine translation?
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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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Natural Language Generation
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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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Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions ...
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Summary Refinement through Denoising
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In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) (2019)
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Large-Scale Hierarchical Alignment for Data-driven Text Rewriting
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In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) (2019)
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Do Online Resources Give Satisfactory Answers to Questions about Meaning and Phraseology?
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RGCL at IDAT: deep learning models for irony detection in Arabic language
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In: 2517 ; 416 ; 425 (2019)
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Bridging the gap: attending to discontinuity in identification of multiword expressions
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