Improving Language Identification for Code-Switched Utterances with Integer Linear Programming
Paper recorded by Signals 4 on 2026-09-04 in cs.CL. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07
Category: cs.CL · 自然语言处理 · first seen 2026-09-07
Abstract
Automatic identification of code-switched (CS) utterances remains a challenge for language identification (LID) systems, causing such texts to be underrepresented in the training data of Large Language Models. In this paper, we revisit MaskLID, a state-of-the art approach for CS identification, which requires no training and detects arbitrary language combinations. We make three main contributions
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Cite this page: Improving Language Identification for Code-Switched Utterances with Integer Linear Programming: the #110 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/improving-language-identification-for-code-switched-utterances-with-integer-line.html
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