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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 Hits 1 – 9 of 9 1 PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages ... Ali, Mohsin; Teja, Kandukuri Sai; Manduru, Sumanth. - : arXiv, 2021 BASE Show details 2 SemEval-2020 Task 8: Memotion Analysis- The Visuo-Lingual Metaphor! ... The 28th International Conference on Computational Linguistics 2020; Bhageria, Deepesh; Charaborty, Tanmoy. - : Underline Science Inc., 2020 BASE Show details 3 SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets (Sentimix) ... The 28th International Conference on Computational Linguistics 2020; ., Gustavo; Charaborty, Tanmoy. - : Underline Science Inc., 2020 BASE Show details 4 MSIR@FIRE: A Comprehensive Report from 2013 to 2016 Banerjee, Somnath; Choudhury, Monojit; Das, Amitava. - : Springer, 2020 BASE Show details 5 Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017 ... Patra, Braja Gopal; Das, Dipankar; Das, Amitava. - : arXiv, 2018 BASE Show details 6 Code mixing: a challenge for language identification in the language of social media Barman, Utsab; Das, Amitava; Wagner, Joachim; Foster, Jennifer In: Barman, Utsab, Das, Amitava orcid:0000-0003-3418-463X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2014) Code mixing: a challenge for language identification in the language of social media. In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar. (2014) Abstract: In social media communication, multilingual speakers often switch between languages, and, in such an environment, automatic language identification becomes both a necessary and challenging task. In this paper, we describe our work in progress on the problem of automatic language identification for the language of social media. We describe a new dataset that we are in the process of creating, which contains Facebook posts and comments that exhibit code mixing between Bengali, English and Hindi. We also present some preliminary word-level language identification experiments using this dataset. Different techniques are employed, including a simple unsupervised dictionary-based approach, supervised word-level classification with and without contextual clues, and sequence labelling using Conditional Random Fields. We find that the dictionary-based approach is surpassed by supervised classification and sequence labelling, and that it is important to take contextual clues into consideration. Keyword: Artificial intelligence; code switching; Computational linguistics; language identification; Machine learning; natural language processing; social media URL: http://doras.dcu.ie/25186/ BASE Hide details 7 A Framework for Health Behavior Change Using Companionable Robots Sarma, Bandita; Das, Amitava; Nielsen, Rodney D. In: 8th International Natural Language Generation Conference, June 19-21, 2014. Philadelphia, Pennsylvania (2014) BASE Show details 8 SemanticNet-Perception of Human Pragmatics Das, Amitava; Bandyopadhyay, Sivaji In: Coling 2010: Proceedings of the 2nd Workshop on Cognitive Aspects of the Lexicon (COGALEX 2010), Beijing, August 2010 (2010), 2-11 IDS OBELEX meta Show details 9 Low-Rate Multimode Multiband Spectral Coding of Speech Das, Amitava; Gersho, Allen In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 2 (1996) 4, 317-328 OLC Linguistik Show details

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