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New Bhasha model identifies languages word-by-word, struggles with Tamil

By PulseAugur Editorial · [1 sources] ·

A new open-source model named Bhasha has been developed to identify the language of individual words within code-mixed Indian text, supporting languages like Hinglish, Tanglish, and Kanglish. While Bhasha performs well on many Indian languages, it struggles with Tamil, misclassifying a significant portion of Tamil words as Telugu. The model, which runs on a CPU and has 278 million parameters, was trained using public text data and is available under the Apache-2.0 license. AI

IMPACT This model could improve downstream NLP tasks for code-mixed languages, though its Tamil performance needs further refinement.

RANK_REASON The cluster describes the release of a new open-source model for language identification, which falls under research and development in NLP. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Bhasha model identifies languages word-by-word, struggles with Tamil

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34 / 100
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Tool
The cluster describes the release of a new open-source model for language identification, which falls under research and development in NLP. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Latent AI Labs ·

    My Model Thought Tamil Was Telugu: Open-Source Language ID for Hinglish, Tanglish and Kanglish

    <h4><em>Bhasha tags every word of code-mixed Indian text with its language. My test said Tamil scored 0.87; human-labelled comments said 0.72.</em></h4><p>By Arun Prabhakaran · <a href="https://www.youtube.com/@LatentAILabs">@LatentAILabs</a></p><figure><img alt="" src="https://c…

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