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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 Hits 1 – 20 of 25 1 DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text ... Chakravarthi, Bharathi Raja; Priyadharshini, Ruba; Muralidaran, Vigneshwaran. - : Zenodo, 2021 BASE Show details 2 DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text ... Chakravarthi, Bharathi Raja; Priyadharshini, Ruba; Muralidaran, Vigneshwaran. - : Zenodo, 2021 BASE Show details 3 DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text ... Chakravarthi, Bharathi Raja; Priyadharshini, Ruba; Muralidaran, Vigneshwaran. - : arXiv, 2021 BASE Show details 4 Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021 ... Puranik, Karthik; Hande, Adeep; Priyadharshini, Ruba. - : arXiv, 2021 BASE Show details 5 Hypers at ComMA@ICON: Modelling Aggressiveness, Gender Bias and Communal Bias Identification ... Benhur, Sean; Nayak, Roshan; Sivanraju, Kanchana. - : arXiv, 2021 BASE Show details 6 Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments ... Chakravarthi, Bharathi Raja; Priyadharshini, Ruba; Ponnusamy, Rahul. - : arXiv, 2021 BASE Show details 7 https://www.aclweb.org/anthology/W19-6809/ ... Chakravarthi, Bharathi Raja. - : Zenodo, 2021 BASE Show details 8 https://www.aclweb.org/anthology/W19-6809/ ... Chakravarthi, Bharathi Raja. - : Zenodo, 2021 BASE Show details 9 Bilingual lexicon induction across orthographically-distinct under-resourced Dravidian languages Chakravarthi, Bharathi Raja; Rajasekaran, Navaneethan; Arcan, Mihael; McGuinness, Kevin; O'Connor, Noel E.; McCrae, John P. 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) Abstract: Bilingual lexicons are a vital tool for under-resourced languages and recent state-of-the-art approaches to this leverage pretrained monolingual word embeddings using supervised or semi- supervised approaches. However, these approaches require cross-lingual information such as seed dictionaries to train the model and find a linear transformation between the word embedding spaces. Especially in the case of low-resourced languages, seed dictionaries are not readily available, and as such, these methods produce extremely weak results on these languages. In this work, we focus on the Dravidian languages, namely Tamil, Telugu, Kannada, and Malayalam, which are even more challenging as they are written in unique scripts. To take advantage of orthographic information and cognates in these languages, we bring the related languages into a single script. Previous approaches have used linguistically sub-optimal measures such as the Levenshtein edit distance to detect cognates, whereby we demonstrate that the longest common sub-sequence is linguistically more sound and improves the performance of bilingual lexicon induction. We show that our approach can increase the accuracy of bilingual lexicon induction methods on these languages many times, making bilingual lexicon induction approaches feasible for such under-resourced languages. Keyword: Computational linguistics; Information retrieval; Machine translating URL: http://doras.dcu.ie/25223/ BASE Hide details 10 A sentiment analysis dataset for code-mixed Malayalam-English Sherly, Elizabeth; Jose, Navya; McCrae, John P.. - : European Language Resources Association (ELRA), 2020 BASE Show details 11 Corpus creation for sentiment analysis in code-mixed Tamil-English text McCrae, John P.; Priyadharshini, Ruba; Muralidaran, Vigneshwaran. - : European Language Resources Association (ELRA), 2020 BASE Show details 12 Leveraging orthographic information to improve machine translation of under-resourced languages Asoka Chakravarthi, Bharathi Raja. - : NUI Galway, 2020 BASE Show details 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 BASE Show details 14 A survey of current datasets for code-switching research Jose, Navya; Chakravarthi, Bharathi Raja; Suryawanshi, Shardul. - : IEEE, 2020 BASE Show details 15 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 BASE Show details 16 A Sentiment Analysis Dataset for Code-Mixed Malayalam-English ... Chakravarthi, Bharathi Raja; Jose, Navya; Suryawanshi, Shardul. - : arXiv, 2020 BASE Show details 17 ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text ... Goswami, Koustava; Rani, Priya; Chakravarthi, Bharathi Raja. - : arXiv, 2020 BASE Show details 18 A Sentiment Analysis Dataset for Code-Mixed Malayalam-English ... Chakravarthi, Bharathi Raja; Jose, Navya; Suryawanshi, Shardul. - : Zenodo, 2020 BASE Show details 19 A Sentiment Analysis Dataset for Code-Mixed Malayalam-English ... Chakravarthi, Bharathi Raja; Jose, Navya; Suryawanshi, Shardul. - : Zenodo, 2020 BASE Show details 20 Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios ... Torregrosa, Daniel; Pasricha, Nivranshu; Masoud, Maraim. - : arXiv, 2020 BASE Show details Page: 1 2

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