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Machine translation of user-generated content
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Lohar, Pintu. - : Dublin City University. School of Computing, 2020. : Dublin City University. ADAPT, 2020
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In: Lohar, Pintu (2020) Machine translation of user-generated content. PhD thesis, Dublin City University. (2020)
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FooTweets: a bilingual parallel corpus of World Cup tweets
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In: Sluyter-Gäthje, Henny, Lohar, Pintu, Afli, Haithem orcid:0000-0002-7449-4707 and Way, Andy orcid:0000-0001-5736-5930 (2018) FooTweets: a bilingual parallel corpus of World Cup tweets. In: LREC 2018 - 11th International Conference on Language Resources and Evaluation, 7-12 May 2018, Miyazaki, Japan. ISBN 979-10-95546-00-9 (2018)
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Balancing translation quality and sentiment preservation
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In: Lohar, Pintu, Afli, Haithem orcid:0000-0002-7449-4707 and Way, Andy orcid:0000-0001-5736-5930 (2018) Balancing translation quality and sentiment preservation. In: AMTA 2018, 17-21 Mar 2018, Boston, MA. USA. (2018)
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Sentiment translation for low resourced languages: experiments on Irish general election Tweets
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In: Afli, Haithem orcid:0000-0002-7449-4707 , Maguire, Sorcha and Way, Andy orcid:0000-0001-5736-5930 (2017) Sentiment translation for low resourced languages: experiments on Irish general election Tweets. In: 18th International Conference on Computational Linguistics and Intelligent Text Processing, 17-21 Apr 2017, Budapest, Hungry. (2017)
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MultiNews: a web collection of an aligned multimodal and multilingual corpus
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In: Afli, Haithem orcid:0000-0002-7449-4707 , Lohar, Pintu and Way, Andy orcid:0000-0001-5736-5930 (2017) MultiNews: a web collection of an aligned multimodal and multilingual corpus. In: Workshop on Curation and Applications of Parallel and Comparable Corpora, 27 Nov- 1 Dec 2017, Taipei, Taiwan. ISBN 978-1-948087-05-6 (2017)
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Maintaining sentiment polarity in translation of user-generated content
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In: Lohar, Pintu, Afli, Haithem orcid:0000-0002-7449-4707 and Way, Andy orcid:0000-0001-5736-5930 (2017) Maintaining sentiment polarity in translation of user-generated content. Prague Bulletin of Mathematical Linguistics (108). pp. 73-84. ISSN 1804-0462 (2017)
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Abstract:
The advent of social media has shaken the very foundations of how we share information, with Twitter, Facebook, and Linkedin among many well-known social networking platforms that facilitate information generation and distribution. However, the maximum 140-character restriction in Twitter encourages users to (sometimes deliberately) write somewhat informally in most cases. As a result, machine translation (MT) of user-generated content (UGC) becomes much more difficult for such noisy texts. In addition to translation quality being affected, this phenomenon may also negatively impact sentiment preservation in the translation process. That is, a sentence with positive sentiment in the source language may be translated into a sentence with negative or neutral sentiment in the target language. In this paper, we analyse both sentiment preservation and MT quality per sein the context of UGC, focusing especially on whether sentiment classification helps improve sentiment preservation in MT of UGC. We build four different experimental setups for tweet translation (i) using a single MT model trained on the whole Twitter parallel corpus, (ii) using multiple MT models based on sentiment classification, (iii) using MT models including additional out-of-domain data, and (iv) adding MT models based on the phrase-table fill-up method to accompany the sentiment translation models with an aim of improving MT quality and at the same time maintaining sentiment polarity preservation. Our empirical evaluation shows that despite a slight deterioration in MT quality, our system significantly outperforms the Baseline MT system (without using sentiment classification) in terms of sentiment preservation. We also demonstrate that using an MT engine that conveys a sentiment different from that of the UGC can even worsen both the translation quality and sentiment preservation.
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Keyword:
Machine translating
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URL: http://doras.dcu.ie/23312/
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Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search
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In: Khwileh, Ahmad, Afli, Haithem orcid:0000-0002-7449-4707 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Way, Andy orcid:0000-0001-5736-5930 (2017) Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search. In: Third Arabic Natural Language Processing Workshop (WANLP), 3 Apr 2017, Valencia, Spain. (2017)
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Dublin City University participation in the VTT track at TRECVid 2017
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In: Afli, Haithem orcid:0000-0002-7449-4707 , Hu, Feiyan orcid:0000-0001-7451-6438 , Du, Jinhua orcid:0000-0002-3267-4881 , Cosgrove, Daniel, McGuinness, Kevin orcid:0000-0003-1336-6477 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Arazo Sánchez, Eric, Zhou, Jiang orcid:0000-0002-3067-8512 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2017) Dublin City University participation in the VTT track at TRECVid 2017. In: TRECVid workshop, 13-15 Nov 2017, Gaithersburg, Md., USA. (2017)
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Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search
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In: Khwileh, Ahmad, Afli, Haithem orcid:0000-0002-7449-4707 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Way, Andy orcid:0000-0001-5736-5930 (2017) Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search. In: Proceedings of The Third Arabic Natural Language Processing Workshop (WANLP), 3-4 Apr 2017, Valencia, Spain. (2017)
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Maintaining Sentiment Polarity in Translation of User-Generated Content
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In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 73-84 (2017) (2017)
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The ADAPT bilingual document alignment system at WMT16
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In: Lohar, Pintu, Afli, Haithem orcid:0000-0002-7449-4707 , Liu, Chao-Hong orcid:0000-0002-1235-6026 and Way, Andy orcid:0000-0001-5736-5930 (2016) The ADAPT bilingual document alignment system at WMT16. In: First Conference on Machine Translation (WMT16), 11-12 Aug 2016, Berlin, Germany. (2016)
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FaDA: fast document aligner using word embedding
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In: Lohar, Pintu, Ganguly, Debasis orcid:0000-0003-0050-7138 , Afli, Haithem orcid:0000-0002-7449-4707 , Way, Andy orcid:0000-0001-5736-5930 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2016) FaDA: fast document aligner using word embedding. Prague Bulletin of Mathematical Linguistics (106). pp. 169-179. ISSN 1804-0462 (2016)
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Using SMT for OCR error correction of historical texts
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In: Afli, Haithem orcid:0000-0002-7449-4707 , Qui, Zhengwei, Way, Andy orcid:0000-0001-5736-5930 and Sheridan, Páraic (2016) Using SMT for OCR error correction of historical texts. In: Tenth International Conference on Language Resources and Evaluation (LREC 2016), 23-28 May 2016, Portorož, Slovenia. ISBN 978-2-9517408-9-1 (2016)
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Integrating optical character recognition and machine translation of historical documents
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In: Afli, Haithem orcid:0000-0002-7449-4707 and Way, Andy orcid:0000-0001-5736-5930 (2016) Integrating optical character recognition and machine translation of historical documents. In: COLING, the 26th International Conference on Computational Linguistics, 13-16 Dec 2016, Osaka, Japan. (2016)
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From Arabic user-generated content to machine translation: integrating automatic error correction
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In: Afli, Haithem orcid:0000-0002-7449-4707 , Aransa, Walid, Lohar, Pintu and Way, Andy orcid:0000-0001-5736-5930 (2016) From Arabic user-generated content to machine translation: integrating automatic error correction. In: 17th International Conference on Intelligent Text Processing and Computational Linguistics, 3–9 Apr 2016, Konya, Turkey. (2016)
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Dublin City University and partners’ participation in the INS and VTT tracks at TRECVid 2016
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In: Marsden, Mark, Mohedano, Eva, McGuinness, Kevin orcid:0000-0003-1336-6477 , Calafell, Andrea, Giró-i-Nieto, Xavier orcid:0000-0002-9935-5332 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Zhou, Jiang orcid:0000-0002-3067-8512 , Azevedo, Lucas, Daudert, Tobias, Davis, Brian, Hurlimann, Manuela, Afli, Haithem orcid:0000-0002-7449-4707 , Du, Jinhua, Ganguly, Debasis orcid:0000-0003-0050-7138 , Li, Wei B. orcid:0000-0001-7347-3501 , Way, Andy orcid:0000-0001-5736-5930 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2016) Dublin City University and partners’ participation in the INS and VTT tracks at TRECVid 2016. In: TRECVid Conference, 14-16 Nov 2016, Gaithersburg, Md., USA. (2016)
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Dublin City University and Partners' participation in the INS and VTT Tracks at TRECVid 2016
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FaDA: Fast Document Aligner using Word Embedding
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In: Prague Bulletin of Mathematical Linguistics , Vol 106, Iss 1, Pp 169-179 (2016) (2016)
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OCR Error Correction Using Statistical Machine Translation
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In: 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015). ; https://hal.archives-ouvertes.fr/hal-01433200 ; 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015)., 2015, Cairo, Egypt (2015)
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