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Identifying complaints from product reviews: a case study on Hindi
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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: a case study on Hindi. In: 28th Irish Conference on Artificial Intelligence and Cognitive Science, 7-8 Dec 2020, Dublin, Ireland. (2020)
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Identifying complaints from product reviews in low-resource scenarios via neural machine translation
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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)
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Ruslan Mitkov, Johanna Monti, Gloria Corpas Pastor, and Violeta Seretan (eds): Multiword units in machine translation and translation technology : Current Issues in Linguistic Theory, Volume 341, John Benjamin Publishing Company, Amsterdam & Philadelphia, 2018, ix+259 pp, ISBN 978-90-272-0060-0 (HB), ISBN 978-90-272-6420-6 (e-book) [<Journal>]
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DNB Subject Category Language
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Terminology translation in low-resource scenarios
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In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2019) Terminology translation in low-resource scenarios. Information, 10 (273). pp. 1-28. ISSN 2078-2489 (2019)
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Terminology Translation in Low-Resource Scenarios
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In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2019) Terminology Translation in Low-Resource Scenarios. Information, 10 (9). ISSN 2078-2489 (2019)
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TermEval: an automatic metric for evaluating terminology translation in MT
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In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2019) TermEval: an automatic metric for evaluating terminology translation in MT. In: CICLing 2019, the 20th International Conference on Computational Linguistics and Intelligent Text Processing, 07-13 Apr 2019, La Rochelle, France. (2019)
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Multimodal image news article alignment
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In: Jeyaram, Haree, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Calixto, Iacer orcid:0000-0001-6244-7906 and Way, Andy orcid:0000-0001-5736-5930 (2019) Multimodal image news article alignment. In: 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), 07-Apr 2019, La Rochelle, France. (2019)
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TermEval: an automatic metric for evaluating terminology translation in MT
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In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2019) TermEval: an automatic metric for evaluating terminology translation in MT. In: CICLing 2019: the 20th International Conference on Computational Linguistics and Intelligent Text Processing, 7-13 Apr 2019, La Rochelle, France. (2019)
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Abstract:
Terminology translation plays a crucial role in domain-specific machine translation (MT). Preservation of domain-knowledge from source to target is arguably the most concerning factor for the customers in translation industry, especially for critical domains such as medical, transportation, military, legal and aerospace. However, evaluation of terminology translation, despite its huge importance in the translation industry, has been a less examined area in MT research. Term translation quality in MT is usually measured with domain experts, either in academia or industry. To the best of our knowledge, as of yet there is no publicly available solution to automatically evaluate terminology translation in MT. In particular, manual intervention is often needed to evaluate terminology translation in MT, which, by nature, is a time-consuming and highly expensive task. In fact, this is unimaginable in an industrial setting where customised MT systems are often needed to be updated for many reasons (e.g. availability of new training data or leading MT techniques). Hence, there is a genuine need to have a faster and less expensive solution to this problem, which could aid the end-users to instantly identify term translation problems in MT. In this study, we propose an automatic evaluation metric, TermEval, for evaluating terminology translation in MT. To the best of our knowledge, there is no gold-standard dataset available for measuring terminology translation quality in MT. In the absence of gold standard evaluation test set, we semi-automatically create a gold-standard dataset from English--Hindi judicial domain parallel corpus. We trained state-of-the-art phrase-based SMT (PB-SMT) and neural MT (NMT) models on two translation directions: English-to-Hindi and Hindi-to-English, and use TermEval to evaluate their performance on terminology translation over the created gold standard test set. In order to measure the correlation between TermEval scores and human judgments, translations of each source terms (of the gold standard test set) is validated with human evaluator. High correlation between TermEval and human judgements manifests the effectiveness of the proposed terminology translation evaluation metric. We also carry out comprehensive manual evaluation on terminology translation and present our observations.
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Keyword:
Machine translating; Machine Translation; Neural Machine Translation; Phrase-Based Statistical Machine Translation; Term Translation Evaluation; Terminology Translation
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URL: http://doras.dcu.ie/24170/
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Incorporating deep visual features into multiobjective based multi-view search results clustering
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In: Mitra, Sayantan, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Saha, Sriparna and Way, Andy orcid:0000-0001-5736-5930 (2018) Incorporating deep visual features into multiobjective based multi-view search results clustering. In: 27th International Conference on Computational Linguistics, 20-26 Aug 2018, Santa Fe, NM, USA. (2018)
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Fine-grained temporal orientation and its relationship with psycho-demographic correlates
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In: Kamila, Sabyasachi, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Ekba, Asif, Bhattacharyya, Pushpak and Way, Andy orcid:0000-0001-5736-5930 (2018) Fine-grained temporal orientation and its relationship with psycho-demographic correlates. In: 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. (NAACL 2018), 1-6 June 2018, New Orleans, LA, USA. (2018)
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Multimodal neural machine translation for low-resource language pairs using synthetic data
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In: Dutta Chowdhury, Koel, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Liu, Qun orcid:0000-0002-7000-1792 (2018) Multimodal neural machine translation for low-resource language pairs using synthetic data. In: Workshop on Deep Learning Approaches for Low-Resource NLP, 19 July 2018, Melbourne, Australia. (2018)
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Temporal orientation of tweets for predicting income of users
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In: Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Kamila, Sabyasachi, Kaur, Mandeep, Saha, Sriparna and Ekbal, Asif (2017) Temporal orientation of tweets for predicting income of users. In: 55th Annual Meeting of the Association for Computational Linguistics, 30 Jul - 4 Aug 2017, Vancouver, Canada. (2017)
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Identifying Temporal Orientation of Word Senses Based on Minimum Cuts
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In: The 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016) ; https://hal.archives-ouvertes.fr/hal-01702812 ; The 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016), Aug 2016, Berlin, Germany. pp.22 - 30 (2016)
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Identifying temporality of word senses based on minimum cuts
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In: Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Dias, Gaël, Ferrari, Stéphane, Mathet, Yann and Way, Andy orcid:0000-0001-5736-5930 (2016) Identifying temporality of word senses based on minimum cuts. In: CoNLL 2016:The SIGNLL Conference on Computational Natural Language Learning, 11-12 Aug 2016, Berlin, Germany. ISBN 978-1-945626-19-7 (2016)
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Propagation Strategies for Building Temporal Ontologies
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In: 14th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01074969 ; 14th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2014, Gotenburg, Sweden. pp.PP6-11 (2014)
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