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Arabisc: context-sensitive neural spelling checker
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In: Moslem, Yasmin orcid:0000-0003-4595-6877 , Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) Arabisc: context-sensitive neural spelling checker. In: AACL Workshop of Natural Language Processing Techniques for Educational Application (NLP-TEA), Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 4 Dec 2020, Suzhou, China (Online). (2020)
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Arabisc: context-sensitive neural spelling checker
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In: Moslem, Yasmin orcid:0000-0003-4595-6877 , Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) Arabisc: context-sensitive neural spelling checker. In: Proceedings of the AACL Workshop of Natural Language Processing Techniques for Educational Application (NLP-TEA), Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 4 Dec 2020, Suzhou, China. (In Press) (2020)
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Arabisc: context-sensitive neural spelling checker
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In: Moslem, Yasmin orcid:0000-0003-4595-6877 , Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) Arabisc: context-sensitive neural spelling checker. In: Proceedings of the AACL Workshop of Natural Language Processing Techniques for Educational Application (NLP-TEA), Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 4 Dec 2020, Suzhou, China (Online). (2020)
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Abstract:
Traditional statistical approaches to spelling correction usually consist of two consecutive processes – error detection and correction – and they are generally computationally intensive. Current state-of-the-art neural spelling correction models usually attempt to correct spelling errors directly over an entire sentence, which, as a consequence, lacks control of the process, e.g. they are prone to overcorrection. In recent years, recurrent neural networks (RNNs), in particular long short-term memory (LSTM) hidden units, have proven increasingly popular and powerful models for many natural language processing (NLP) problems. Accordingly, we made use of a bidirectional LSTM language model (LM) for our context-sensitive spelling detection and correction model which is shown to have much control over the correction process. While the use of LMs for spelling checking and correction is not new to this line of NLP research, our proposed approach makes better use of the rich neighbouring context, not only from before the word to be corrected, but also after it, via a dual-input deep LSTM network. Although in theory our proposed approach can be applied to any language, we carried out our experiments on Arabic, which we believe adds additional value given the fact that there are limited linguistic resources readily available in Arabic in comparison to many languages. Our experimental results demonstrate that the pro- posed methods are effective in both improving the quality of correction suggestions and minimising overcorrection.
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Keyword:
Computational linguistics; Computer engineering; Machine learning; Spelling Checking; Spelling Correction
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URL: http://doras.dcu.ie/25240/
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Experimental Analyses of Peer Tutoring: Toward a Technology of Generative Learning
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Text Corpora and the Challenge of Newly Written Languages
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In: 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020) ; https://hal.archives-ouvertes.fr/hal-02611209 ; 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), May 2020, Marseille, France (2020)
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Stylo visualisations of Middle English documents
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-02170735 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2020, Special Issue on Visualisations in Historical Linguistics, Special issue on Visualisations in Historical Linguistics, pp.1-10 (2020)
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Rhythm in the blood: The influence of rhythm skills on literacy development in third graders
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In: ISSN: 0022-0965 ; EISSN: 1096-0457 ; Journal of Experimental Child Psychology ; https://hal.archives-ouvertes.fr/hal-03117885 ; Journal of Experimental Child Psychology, Elsevier, 2020, 198, pp.104880. ⟨10.1016/j.jecp.2020.104880⟩ (2020)
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Corpus-driven Bambara spelling dictionary ; КОРПУСНОЙ ОРФОГРАФИЧЕСКИЙ СЛОВАРЬ ЯЗЫКА БАМАНА
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In: Dialogue ; International Conference “Dialogue” (2020) ; https://halshs.archives-ouvertes.fr/halshs-02983079 ; International Conference “Dialogue” (2020), Jun 2020, Moscou, Russia. pp.1180-1187, ⟨10.28995/2075-7182-2020-19-1180-1187⟩ (2020)
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ЭТИМОЛОГИЧЕСКИЙ АНАЛИЗ КАК СРЕДСТВО РАЗВИТИЯ ОРФОГРАФИЧЕСКОЙ ЗОРКОСТИ НА УРОКАХ РУССКОГО ЯЗЫКА ... : ETHYMOLOGICAL ANALYSIS AS A MEANS OF DEVELOPING SPELLING VISTA IN RUSSIAN LANGUAGE LESSONS ...
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Л.А. Исаева. - : Мир науки, культуры, образования, 2020
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The key sounds reading, spelling and writing approach in an inclusive classroom ...
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Erickson, Caitlin. - : Electronic version published by Vancouver Island University, 2020
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БРИТАНСКИЙ И АМЕРИКАНСКИЙ МЕДИЦИНСКИЙ АНГЛИЙСКИЙ: СРАВНИТЕЛЬНЫЙ АНАЛИЗ РАЗЛИЧИЙ ЯЗЫКА ...
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НИКЕШЕНА С.А.. - : Международный журнал гуманитарных и естественных наук, 2020
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ПРОБЛЕМЫ СОСТАВЛЕНИЯ СЛОВАРЕЙ НА АВАРСКОМ ЯЗЫКЕ И ПУТИ ИХ РЕШЕНИЯ ... : PROBLEMS OF COMPOSING DICTIONARIES IN THE AVAR LANGUAGE AND WAYS OF THEIR SOLUTION ...
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CХОДСТВА И РАЗЛИЧИЯ АНГЛИЙСКОГО И НЕМЕЦКОГО ЯЗЫКОВ ...
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МЕРЕКИНА И.В.. - : Международный журнал гуманитарных и естественных наук, 2020
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「マジック<e>」のマジック : 英語における綴り字と発音の対応関係の歴史 ; The magic of “magic <e>” : The history of spelling-sound relationships in English ; マジック e ノ マジック : エイゴ ニオケル ツズリジ ト ハツオン ノ タイオウ カンケイ ノ レキシ
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松瀬 憲司. - : 熊本大学教育学部, 2020
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Old Irish – Phonology, Part 2 ... : Spelling ...
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Stifter, David. - : Georg-August-Universität Göttingen,Sprachwissenschaftliches Seminar, 2020
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Δυσκολίες στην κατάκτηση της ορθογραφίας σε ελληνόφωνους μαθητές με δυσλεξία κατά την εκμάθηση της αγγλικής ως δεύτερης/ξένης γλώσσας ...
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INVESTIGATING THE LOCUS OF THE PHONOLOGICAL DEFICIT IN GREEK CHILDREN WITH DYSLEXIA AND DEVELOPMENTAL LANGUAGE DISORDER: DEGRADED PHONOLOGICAL REPRESENTATIONS OR DEFICIENT PHONOLOGICAL ACCESS? ...
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An Evaluation of the Efficacy of GraphoGame Rime for Promoting English Phonics Knowledge in Poor Readers ...
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Implementação de um programa de escrita inventada numa sala de jardim de infância
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