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Track D · Languages & Translation

AI in Languages & Translation

AI literacy for B.A. Languages, Translation Studies, and Linguistics students at Indian universities — LLM-powered translation, NLP for Indic languages, AI tools for language work. NEP-aligned.

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Track D · D11

The module you would run on your campus

Languages students complete this module as part of the Track D layer of their existing degree, after the Universal Literacy module (D1).

What AI means in Languages

3 capabilities the module produces.

  • Professional LLM translation

    Use frontier translation tools at production quality across English and Indic languages, with quality-assurance protocols a working translator would defend.

  • Indic NLP & low-resource languages

    Build NLP pipelines for Hindi, Tamil, Bengali, Marathi, and beyond. Wrestle honestly with the long tail of Indian linguistic diversity.

  • Cultural fidelity in AI output

    Evaluate translation and language-AI output for cultural fidelity, register, and the failure modes specific to South Asian language contexts.

The module

AI in Languages & Translation

D11

AI in Languages & Translation

Sem 5–63 credits

Skill outcomes

  • Use LLM-powered translation tools for professional output
  • Work with regional language AI models including Indic NLP
  • Build NLP pipelines for low-resource Indian languages
  • Evaluate translation quality and cultural fidelity in AI output

Prerequisites: D1

Updated 2026-04

Industry context

AI translation is shifting the economics of multilingual India, badly in some directions and well in others. Language graduates who can run the AI well, and catch where it fails, control the standard for what gets published in their language.

Student outcomes

  • Produce a professional-grade AI-assisted translation between English and an Indic language
  • Build an NLP pipeline for a low-resource Indian language task
  • Evaluate translation output for cultural fidelity with documented criteria
  • Articulate the labour-economics implications of AI translation honestly

Sibling discipline modules

The other 9 disciplines in Track D.

Every discipline module shares the Universal Literacy module (D1) and the Career Bridge (D12). The middle module is what makes the AI fluency discipline-relevant, not generic.

Run this on your campus

Languages students get the same Skill Score as every other Kompas student. Discipline-relevant. Cohort-comparable.

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