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IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing

Paper recorded by Signals 4 on 2026-09-10 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-10 on arXiv · recorded by Signals 4 on 2026-09-11

Category: cs.CL · 自然语言处理 · first seen 2026-09-11

Abstract

Language identification in code-mixed text, largely observed in social media, is highly essential when users frequently switch between multiple languages within a single utterance. Accurately identifying the languages of code-mixed tokens becomes an urgent necessity. Traditional language identification models, designed for monolingual text, are not well suited for token-level language identificati

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#70 most recent of 186 cs.CL papers we have recorded · ↑ newer: Epistemic orientation predicts legislative effectiveness among members · ↓ older: Target leakage, not model class, explains reported accuracy in survey-
Cite this page: IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing: the #70 most recent of 186 cs.CL papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/indictrimix-developing-language-identification-datasets-and-models-for-tri-langu.html
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