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Bharathi B

Bharathi B has 5 papers in our library, in 2020–2026, most of them on Speech & spoken language, Multilingual & cross-lingual NLP, Language models & pretraining; often with K.K.Thamizhmathi, S.B.Priya, S Vigneshwaran.

5 papers in our library · 2020–2026

OpenAlex · ORCID · Wikidata · h-index 5 · 31 works · 91 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10095

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Semi-supervised Fine-grained Approach for Arabic dialect detection task (2020 · 5 citations)
    This paper describes the TRY NLP team's entry to the NADI 2020 shared task on Arabic dialect identification from tweets.
  2. JusticeBots@LT-EDI 2026: Prompt-Based Counter-Narrative Generation for Homophobia and Transphobia Comments (2026 · 1 citation)
    The paper describes the JusticeBots entry to Task 2 of the LT-EDI @ ACL 2026 shared task, which asks for counter-narratives to homophobic and transphobic social media comments in English and Tamil.
  3. RspectNLP@LT-EDI 2026:Rubric-Driven Prompting for Safe Multilingual Counter Narrative Generation (2026 · 1 citation)
    The paper addresses Task 2 of the LT-EDI 2026 shared task. The goal is to write constructive, empathetic replies (counter-narratives) to homophobic or transphobic social media comments in English and Tamil, rather than only detecting or deleting such content. The authors build a lightweight zero-shot pipeline around…
  4. TamilVoiceLab@DravidianLangTech 2026: Investigating Whisper Tamil Large-v2 for Dialectal Tamil Speech Recognition (2026 · 1 citation)
    Speech recognizers trained mostly on standard Tamil often fail on regional varieties, which differ in pronunciation, rhythm, vocabulary and syntax.
  5. SERENE@DravidianLangTech 2026: Multimodal Approaches for Depression Detection in Dravidian Speech: Acoustic, Spectrogram, and Transformer-Based Models (2026)
    This paper reports the SERENE team's entry in the DravidianLangTech 2026 shared task on detecting depression from Tamil and Malayalam speech, two low-resource languages that have received little attention in this area.

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read).

Updated

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