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Towards Personalised Simplification based on L2 Learners’ Native Language

Authors: Palmero Aprosio, Alessio; Menini, Stefano; Tonelli, Sara; Ducceschi, Luca; Herzog, Leonardo;

Towards Personalised Simplification based on L2 Learners’ Native Language

Abstract

We present an approach to improve the selection of complex words for automatic text simplification, addressing the need of L2 learners to take into account their native language during simplification. In particular, we develop a methodology that automatically identifies ‘difficult’ terms (i.e. false friends) for L2 learners in order to simplify them. We evaluate not only the quality of the detected false friends but also the impact of this methodology on text simplification compared with a standard frequency-based approach. In questo contributo presentiamo un approccio per selezionare le parole complesse da semplificare in modo automatico, tenendo conto della lingua madre dell’utente. Nello specifico, la nostra metodologia identifica i termini ‘difficili’ (falsi amici) per l’utente per proporne la semplificazione. In questo contesto, viene valutata non soltanto la qualità dei falsi amici individuati, ma anche l’impatto che questa semplificazione personalizzata ha rispetto ad approcci standard basati sulla frequenza delle parole.

Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science First language Linguistics L2 learners

Keywords

History & Philosophy Of Science, analisi semantica, Gurevych (Iryna), Bos (Johan), LAN000000, semantic parsing, elaborazione del linguaggio naturale, Computational Linguistics, CBX, linguistica computazionale, Natural Language Processing

18 references, page 1 of 2

Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, Carolina Scarton, and Lucia Specia. 2017. Learning how to simplify from explicit labeling of complex-simplified text pairs. In Greg Kondrak and Taro Watanabe, editors, Proceedings of the Eighth International Joint Conference on Natural Language Processing, IJCNLP 2017, Taipei, Taiwan, November 27 - December 1, 2017 - Volume 1: Long Papers, pages 295-305. Asian Federation of Natural Language Processing. 7See for example the Wiktionary entries at https://en.wiktionary.org/wiki/Category: False_cognates_and_false_friends Gianni Barlacchi and Sara Tonelli. 2013. ERNESTA: A Sentence Simplification Tool for Children's Stories in Italian. In Alexander Gelbukh, editor, Computational Linguistics and Intelligent Text Processing: 14th International Conference, CICLing 2013, Samos, Greece, March 24-30, 2013, Proceedings, Part II, pages 476-487, Berlin, Heidelberg. Springer Berlin Heidelberg.

Joachim Bingel and Anders Søgaard. 2016. Text simplification as tree labeling. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 337-343. Association for Computational Linguistics.

Joachim Bingel, Gustavo Paetzold, and Anders Søgaard. 2018. Lexi: A tool for adaptive, personalized text simplification. In Proceedings of COLING. Association for Computational Linguistics.

Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016. Enriching word vectors with subword information. CoRR, abs/1607.04606.

Chris Brew, David McKelvie, et al. 1996. Word-pair extraction for lexicography. In Proceedings of the 2nd International Conference on New Methods in Language Processing, pages 45-55.

Diana Inkpen and Oana Frunza. 2005. Automatic identification of cognates and false friends in french and english. In Proceedings of RANLP, pages 251- 257, 01.

Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, He´rve Je´gou, and Tomas Mikolov. 2016. Fasttext.zip: Compressing text classification models. arXiv preprint arXiv:1612.03651.

Tomas Mikolov, Quoc V Le, and Ilya Sutskever. 2013. Exploiting similarities among languages for machine translation. arXiv preprint arXiv:1309.4168.

Boris New. 2006. Lexique 3: Une nouvelle base de donne´es lexicales. In Actes de la Confe´rence Traitement Automatique des Langues Naturelles (TALN 2006).

Sergiu Nisioi, Sanja Stajner, Simone Paolo Ponzetto, and Liviu P. Dinu. 2017. Exploring neural text simplification models. In Regina Barzilay and Min-Yen Kan, editors, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 2: Short Papers, pages 85-91. Association for Computational Linguistics.

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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