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DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text ...
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DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text ...
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DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text ...
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4
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021 ...
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Hypers at ComMA@ICON: Modelling Aggressiveness, Gender Bias and Communal Bias Identification ...
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Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments ...
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https://www.aclweb.org/anthology/W19-6809/ ...
Chakravarthi, Bharathi Raja. - : Zenodo, 2021
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https://www.aclweb.org/anthology/W19-6809/ ...
Chakravarthi, Bharathi Raja. - : Zenodo, 2021
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Bilingual lexicon induction across orthographically-distinct under-resourced Dravidian languages
In: Chakravarthi, Bharathi Raja orcid:0000-0002-4575-7934 , Rajasekaran, Navaneethan, Arcan, Mihael orcid:0000-0002-3116-621X , McGuinness, Kevin orcid:0000-0003-1336-6477 , O'Connor, Noel E. orcid:0000-0002-4033-9135 and McCrae, John P. orcid:0000-0002-7227-1331 (2020) Bilingual lexicon induction across orthographically-distinct under-resourced Dravidian languages. In: 7th Workshop on NLP for Similar Languages, Varieties and Dialects, 13 Dec 2020, Barcelona, Spain (Online). (2020)
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10
A sentiment analysis dataset for code-mixed Malayalam-English
Sherly, Elizabeth; Jose, Navya; McCrae, John P.. - : European Language Resources Association (ELRA), 2020
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Corpus creation for sentiment analysis in code-mixed Tamil-English text
McCrae, John P.; Priyadharshini, Ruba; Muralidaran, Vigneshwaran; Chakravarthi, Bharathi Raja. - : European Language Resources Association (ELRA), 2020
Abstract: Understanding the sentiment of a comment from a video or an image is an essential task in many applications. Sentiment analysis of a text can be useful for various decision-making processes. One such application is to analyse the popular sentiments of videos on social media based on viewer comments. However, comments from social media do not follow strict rules of grammar, and they contain mixing of more than one language, often written in non-native scripts. Non-availability of annotated code-mixed data for a low-resourced language like Tamil also adds difficulty to this problem. To overcome this, we created a gold standard Tamil-English code-switched, sentiment-annotated corpus containing 15,744 comment posts from YouTube. In this paper, we describe the process of creating the corpus and assigning polarities. We present inter-annotator agreement and show the results of sentiment analysis trained on this corpus as a benchmark ; This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 (Insight), SFI/12/RC/2289 P2 (Insight 2), co-funded by the European Regional Development Fund as well as by the EU H2020 programme under grant agreements 731015 (ELEXIS-European Lexical Infrastructure), 825182 (Pret- ˆ a-LLOD), and Irish Research Council ` grant IRCLA/2017/129 (CARDAMOM-Comparative Deep Models of Language for Minority and Historical Languages). ; non-peer-reviewed
Keyword: code mixed; corpus; dataset; sentiment; Tamil
URL: http://hdl.handle.net/10379/16102
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12
Leveraging orthographic information to improve machine translation of under-resourced languages
Asoka Chakravarthi, Bharathi Raja. - : NUI Galway, 2020
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13
A comparative study of different state-of-the-art hate speech detection methods in Hindi-English code-mixed data
Fransen, Theodorus; McCrae, John P.; Chakravarthi, Bharathi Raja. - : European Language Resources Association (ELRA), 2020
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A survey of current datasets for code-switching research
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NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020
Chakravarthi, Bharathi Raja; Kumar, Ritesh; Rani, Priya. - : Association for Computational Linguistics, 2020
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A Sentiment Analysis Dataset for Code-Mixed Malayalam-English ...
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ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text ...
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A Sentiment Analysis Dataset for Code-Mixed Malayalam-English ...
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A Sentiment Analysis Dataset for Code-Mixed Malayalam-English ...
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Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios ...
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