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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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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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Abstract:
This article describes the system submitted by the RGCL team to the IDAT 2019 Shared Task: Irony Detection in Arabic Tweets. The system detects irony in Arabic tweets using deep learning. The paper evaluates the performance of several deep learning models, as well as how text cleaning and text pre-processing influence the accuracy of the system. Several runs were submitted. The highest F1 score achieved for one of the submissions was 0.818 making the team RGCL rank 4th out of 10 teams in final results. Overall, we present a system that uses minimal pre-processing but capable of achieving competitive results.
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Keyword:
Computational linguistics; Irony Detection
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URL: http://hdl.handle.net/2436/622828
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Bridging the gap: attending to discontinuity in identification of multiword expressions
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