[CFP] TriMixGen-Indic: Code-Mixed Text Generation and Identification in Low-Resource Indian Languages at FIRE 2026

[Supriya Chanda]

We are glad to announce the TriMixGen-Indic track with FIRE 2026.

Track Title: Code-Mixed Text Generation and Identification in Low-Resource Indian Languages

Venue: Forum for Information Retrieval Evaluation (FIRE 2026)

Track website: https://trimixgen.github.io/TriMixGen-Indic/

Problem Statement:

The TriMixGen-Indic track focuses on understanding and processing code-mixed Indic languages written in Roman script, specifically language combinations such as Hindi–Bengali–English and Hindi–Gujarati–English. The track addresses both the generative and analytical aspects of multilingual text processing.

In Subtask-A, participants are required to generate fluent and contextually appropriate trilingual code-mixed sentences using combinations such as Hindi–Bengali–English and Hindi–Gujarati–English. Whereas Subtask-B focuses on identifying the language of each word in a generated code-mixed sentence.

Please register here: https://trimixgen.github.io/TriMixGen-Indic/registration.html

Organisers:

Dr. Pruthwik Mishra, SVNIT Surat, India
Dr. Shrikant Malviya,  SVNIT Surat, India
Dr. Siba Sankar Sahu,  SVNIT Surat, India
Dr. Supriya Chanda, Bennett University, UP, India
Mr. Ashok Urlana, TCS Research, Hyderabad, India

@Thanks and Regards,

Supriya Chanda

Assistant Professor

SCSET, Bennett University

email:  supl...@gmail.com

Phone: +91-9488205994

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