A Dataset for Term Extraction in Hindi

no code implementations • TERM (LREC) 2022 • Shubhanker Banerjee, Bharathi Raja Chakravarthi, John Philip McCrae

Automatic Term Extraction (ATE) is one of the core problems in natural language processing and forms a key component of text mining pipelines of domain specific corpora.

Machine Translation Term Extraction

Findings of the Shared Task on Machine Translation in Dravidian languages

no code implementations • EACL (DravidianLangTech) 2021 • Bharathi Raja Chakravarthi, Ruba Priyadharshini, Shubhanker Banerjee, Richard Saldanha, John P. McCrae, Anand Kumar M, Parameswari Krishnamurthy, Melvin Johnson

This paper describes the datasets used, the methodology used for the evaluation of participants, and the experiments’ overall results.

Machine Translation Translation

Overview of the Shared Task on Machine Translation in Dravidian Languages

no code implementations • DravidianLangTech (ACL) 2022 • Anand Kumar Madasamy, Asha Hegde, Shubhanker Banerjee, Bharathi Raja Chakravarthi, Ruba Priyadharshini, Hosahalli Shashirekha, John McCrae

This paper presents an outline of the shared task on translation of under-resourced Dravidian languages at DravidianLangTech-2022 workshop to be held jointly with ACL 2022.

Machine Translation Translation

Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text

no code implementations • 18 Nov 2021 • Bharathi Raja Chakravarthi, Ruba Priyadharshini, Sajeetha Thavareesan, Dhivya Chinnappa, Durairaj Thenmozhi, Elizabeth Sherly, John P. McCrae, Adeep Hande, Rahul Ponnusamy, Shubhanker Banerjee, Charangan Vasantharajan

We received 22 systems for Tamil-English, 15 systems for Malayalam-English, and 15 for Kannada-English.

Sentiment Analysis

NUIG-Shubhanker@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet

no code implementations • 15 Oct 2020 • Shubhanker Banerjee, Arun Jayapal, Sajeetha Thavareesan

Social media has penetrated into multilingual societies, however most of them use English to be a preferred language for communication.

Sentiment Analysis