activity
20202025
most citedCorpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text

62 citations · 294 across the 25 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CL2020

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language

Md. Rezaul Karim, Sumon Kanti Dey, Tanhim Islam +6

The exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices, but also enables people to…

cs.CL2020★ 2 cited

Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios

Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud +4

Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate text from source to target l…

cs.CL2020★ 32 cited

A Survey of Orthographic Information in Machine Translation

Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan +1

Machine translation is one of the applications of natural language processing which has been explored in different languages. Recently researchers started paying attention towards…

cs.CL2020

ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text

Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi +2

Code mixing is a common phenomena in multilingual societies where people switch from one language to another for various reasons. Recent advances in public communication over diffe…

cs.CL2020★ 3 cited

A Sentiment Analysis Dataset for Code-Mixed Malayalam-English

Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi +2

There is an increasing demand for sentiment analysis of text from social media which are mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the…

cs.CL2020★ 62 cited

Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text

Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini +1

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…

cs.CL2020★ 2 cited

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae +1

Exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices but also enables people to expre…