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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7...33 Hits 41 – 60 of 643 41 Treebank embedding vectors for out-of-domain dependency parsing Wagner, Joachim; Barry, James; Foster, Jennifer In: Wagner, Joachim orcid:0000-0002-8290-3849 , Barry, James orcid:0000-0003-3051-585X and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) Treebank embedding vectors for out-of-domain dependency parsing. In: 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 05-10 Jul 2020, Online (virtual conference). (2020) BASE Show details 42 Terminology-aware sentence mining for NMT domain adaptation: ADAPT’s submission to the Adap-MT 2020 English-to-Hindi AI translation shared task Moslem, Yasmin; Way, Andy; Haque, Rejwanul In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Moslem, Yasmin orcid:0000-0003-4595-6877 and Way, Andy orcid:0000-0001-5736-5930 (2020) Terminology-aware sentence mining for NMT domain adaptation: ADAPT’s submission to the Adap-MT 2020 English-to-Hindi AI translation shared task. In: Workshop on Low Resource Domain Adaptation for Indic Machine Translation (Adap-MT 2020), 18-21 Dec 2020, Patna, India (Online). (In Press) (2020) BASE Show details 43 Q. Can knowledge graphs be used to answer Boolean questions? A. It’s complicated! Vogel, Carl; Dzendzik, Daria; Foster, Jennifer In: Dzendzik, Daria, Vogel, Carl orcid:0000-0001-8928-8546 and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) Q. Can knowledge graphs be used to answer Boolean questions? A. It’s complicated! In: First Workshop on Insights from Negative Results in NLP, 10 Nov 2020, Online. (2020) BASE Show details 44 Arabisc: context-sensitive neural spelling checker Way, Andy; Moslem, Yasmin; Haque, Rejwanul 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). (In Press) (2020) BASE Show details 45 The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task Haque, Rejwanul; Moslem, Yasmin; Way, Andy In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Moslem, Yasmin orcid:0000-0003-4595-6877 and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task. In: Fourth Workshop on Neural Generation and Translation (WNGT), Association for Computational Linguistics (ACL), 10 July 2020, Seattle, WA, USA (Online). (2020) BASE Show details 46 Arabisc: context-sensitive neural spelling checker Moslem, Yasmin; Way, Andy; Haque, Rejwanul 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) BASE Show details 47 The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task Haque, Rejwanul; Moslem, Yasmin; Way, Andy In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Moslem, Yasmin orcid:0000-0003-4595-6877 and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task. In: Fourth Workshop on Neural Generation and Translation (WNGT), Association for Computational Linguistics (ACL), 10 July 2020, Seattle, WA, USA (Online). (2020) BASE Show details 48 The impact of indirect machine translation on sentiment classification Hadley, James; Way, Andy; Poncelas, Alberto... In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Lohar, Pintu, Way, Andy orcid:0000-0001-5736-5930 and Hadley, James orcid:0000-0003-1950-2679 (2020) The impact of indirect machine translation on sentiment classification. In: 14th biennial conference of the Association for Machine Translation in the Americas, AMTA, 6-10 Oct 2020, Orlando, Fl, USA (Virtual). (In Press) (2020) BASE Show details 49 Identifying complaints from product reviews in low-resource scenarios via neural machine translation Haque, Rejwanul; Way, Andy; Hasanuzzaman, Mohammed... In: Singh, Raghvendra Pratap, Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2020) Identifying complaints from product reviews in low-resource scenarios via neural machine translation. In: ICON 2020: 17th International Conference on Natural Language Processing, 18-21 Dec 2020, IIT Patna, India (Online). (2020) BASE Show details 50 The ADAPT centre’s participation in WAT 2020 English-to-Odia translation task Haque, Rejwanul; Nayak, Prashanth; Way, Andy In: Nayak, Prashanth, Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT centre’s participation in WAT 2020 English-to-Odia translation task. In: WAT2020 :The 7th Workshop on Asian Translation, 4-7 Dec 2020, Suzhou, China (Online). (2020) BASE Show details 51 Arabisc: context-sensitive neural spelling checker Haque, Rejwanul; Way, Andy; Moslem, Yasmin 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) BASE Show details 52 Arabisc: context-sensitive neural spelling checker Haque, Rejwanul; Moslem, Yasmin; Way, Andy 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) 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. Keyword: Computational linguistics; Computer engineering; Machine learning; Spelling Checking; Spelling Correction URL: http://doras.dcu.ie/25240/ BASE Hide details 53 Identifying and Modeling Code-Switched Language Soto Martinez, Victor. - 2020 BASE Show details 54 Essays on the use of computational linguistics in marketing Lemaire, Alain Philippe. - 2020 BASE Show details 55 Theoretical, empirical and computational approaches to agreement with coordination structures ; Les approches théoriques, empiriques et computationnelles pour l’accord avec les structures coordonnées An, Aixiu. - : HAL CCSD, 2020 In: https://tel.archives-ouvertes.fr/tel-03256559 ; Linguistics. Université de Paris, 2020. English. ⟨NNT : 2020UNIP7115⟩ (2020) BASE Show details 56 A Method for Projecting Features from Observed Sets of Phonological Classes Mayer, Connor; Daland, Robert In: LINGUISTIC INQUIRY, vol 51, iss 4 (2020) BASE Show details 57 Universals of word order reflect optimization of grammars for efficient communication. Hahn, Michael; Jurafsky, Dan; Futrell, Richard In: Proceedings of the National Academy of Sciences of the United States of America, vol 117, iss 5 (2020) BASE Show details 58 The Design of Online Environments (Political Hashtags) and the Quality of Democratic Discourse At-Scale Rho, Eugenia Ha Rim. - : eScholarship, University of California, 2020 BASE Show details 59 "Set up son? Scam set, asserts Bob": Semi-Automatic Generation of Bilingual Palindromes Adams, Leo; Blanchard, Enka; Dardouri, Inès... In: https://hal-univ-paris8.archives-ouvertes.fr/hal-02560680 ; 2020 (2020) BASE Show details 60 Automatic Processing of Aerodynamic Parameters in Parkinsonian Dysarthria Ponchard, Clara; Ghio, Alain; Buchman, Lise Crevier... In: Automatic Assessment of Parkinosnian Speech. Ed. Springer Nature Switzerland AG. Communications in Computer and Information Science (CCIS) Series, Vol 1295. ; https://hal.archives-ouvertes.fr/hal-03115366 ; Automatic Assessment of Parkinosnian Speech. Ed. Springer Nature Switzerland AG. Communications in Computer and Information Science (CCIS) Series, Vol 1295., pp.60-76, 2020, ⟨10.1007/978-3-030-65654-6_4⟩ (2020) BASE Show details Page: 1 2 3 4 5 6 7...33

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