Debasri Chakrabarti, Ph.D.

Where Language Meets AI.

Trainer & Educator in AI, Linguistics and Language Technologies

I help students, educators and professionals understand how human language becomes technology—and how emerging AI is transforming the way we work with language.

Computational Linguistics · NLP · Language Technologies · Generative AI · Cognitive Science
Explore Training
Dr. Debasri Chakrabarti - AI Educator and Computational Linguist

20 years at the intersection of computational linguistics, NLP, multilingual AI, GenAI and training.

Background & Expertise

Experience That Shapes My Teaching

Ph.D.
Computational Linguistics · IIT Bombay
20 Years
Language technology & AI Leadership
Google AI
Conversational AI (Assistant) & GenAI (Gemini))
Machine Translation
Indic & Multilingual Machine Translation
Training
Curricula, Capability Building & Mentoring
The intersection
Indic & Multilingual Machine Translation

Understanding AI begins with understanding language

My work brings together linguistics, language technologies and human cognition to help learners see how intelligent systems process, represent and generate language.

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MIND

Cognitive Science

Explore cognition, learning, perception, memory and communication—and what these mean for the future of AI.

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LANGUAGE

Linguistics & NLP

Understand how language works and how machines represent, process and generate human language.

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AI

GenAI & LLMs

Go beyond the hype to understand modern AI systems, evaluation, prompting and human–AI interaction.

From research to real-world AI

Where linguistic depth meets practical AI strategy

My background in Computational Linguistics spans machine translation, conversational AI, multilingual NLP, and GenAI evaluation. Today, I translate that deep technical foundation into high-impact training for the people building—and working alongside—AI.

ACADEMIA

Computational Linguistics

Ph.D. research at IIT Bombay — Thesis: A Study of the Complex Predicates of Hindi & Automatic Extraction. Specialization: Lexical semantics, ontologies, and knowledge-base structures.

LANGUAGE TECHNOLOGY

Machine Translation

Indian-language speech-to-speech and text-to-speech systems at C-DAC Pune.

CONVERSATIONAL AI

NLU · NLG · Google Assistant

Bengali and Hindi conversational-AI development: annotation, grammar design, style guide & response template creation.

GENAI

LLM Evaluation & AI Quality · Google Gemini

Multilingual evaluation standards, rubrics, error taxonomies, prompt engineering, calibration and culturally aware assessment.

ENABLEMENT

Training · Coaching · Mentoring

Curricula, onboarding, practice banks, assessment matrices, workshops and learner enablement.

Who I teach

Learning designed for the audience

Schools & Students

AI & language career exploration

  • Careers in Cognitive Science
  • Non-Coding AI Careers: Roles in Ethics, Language & Data
  • AI & the Human Mind
  • How Machines Understand Language
  • Introduction to Generative AI

Colleges & Universities

Build foundations for the next generation of AI and language professionals

  • Computational Linguistics
  • NLP & Language Technologies
  • Generative AI
  • Cognitive Science
  • AI evaluation & research pathways

Professionals

Practical NLP, GenAI and AI evaluation skills

  • GenAI & LLM evaluation
  • Prompt/context engineering
  • Multilingual AI quality
  • Linguistic Data Curation & Dataset Auditing
  • Responsible AI

Institutions & Organizations

AI literacy, language AI and customized capability building

  • Faculty development
  • AI literacy programs
  • Guest lectures
  • Corporate workshops
  • Customized training
How I teach

From concept to confident application

I combine conceptual foundations, real-world examples, hands-on practice and structured evaluation to turn complex AI concepts into usable skills.

01 · EXPLAIN

Build conceptual understanding

02 · DEMONSTRATE

Use realistic AI and language examples

03 · PRACTISE

Apply the ideas hands-on

04 · ASSESS

Use meaningful criteria and exercises

05 · CALIBRATE

Learn through feedback and reflection

06 · REINFORCE

Turn learning into reusable skills

Training portfolio

Learn the language behind AI

Six connected learning tracks spanning linguistics, knowledge representation, NLP, multilingual technologies, Generative AI and the social dimensions of language.

01 · LANGUAGE & LINGUISTICS

From Language to Machines

Linguistics & Computational Linguistics

Understand the linguistic foundations behind intelligent systems.

  • Basic Linguistics
  • Morphology & Morphological Analysis
  • POS Tagging
  • Syntax & Semantics
  • Semantic Tagging
  • Word Sense Disambiguation
02 · KNOWLEDGE BASE

Lexical Knowledge Structures

Lexical & Knowledge Base Structures

Explore how words, meanings and concepts become structured knowledge.

  • Lexical Resources
  • Lexico-Semantic Relationships
  • Ontologies
  • Knowledge Bases
03 · AI & LLM

Building Language AI

NLP, NLU, Machine Learning & Evaluation

Understand how language AI is trained, tested and improved.

  • NLP & NLU
  • Training & Annotation Data
  • Synthetic Data
  • Regression Data
  • Machine Learning
  • Precision, Recall & Evaluation
04 · MULTILINGUAL AI

Machines That Speak Many Languages

Language Technologies

Explore technologies that translate, transform and localize human language.

  • Machine Translation
  • Transliteration
  • Multilingual NLP
  • Language-pair challenges
  • Script vs. language
  • Indian-language technologies
05 · GENERATIVE AI

From Prompt to Quality

Generative AI & LLMs

Go beyond prompting to understand context, quality and evaluation.

  • Generative AI
  • Prompt Engineering
  • Context Engineering
  • LLM Response Evaluation
  • Quality Rubric Creation
  • Multilingual & Cultural Evaluation
06 · CULTURE

Can AI Understand Culture?

Socio & Cultural Linguistics

Explore how variation, culture and context shape language—and AI quality.

  • Sociolinguistics
  • Cultural Linguistics
  • Dialects & Variation
  • Code-switching
  • Cultural Nuance
  • Culturally aware AI evaluation
For the next generation

AI, the human mind & future careers.

Exploratory programs for school and university audiences connecting AI with cognition, language and the changing world of work.

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AI & the Human Mind

Explore how humans think, learn, perceive and communicate—and what this reveals about AI.

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Cognitive Science Careers

Discover the interdisciplinary field of Cognitive Science and the careers emerging around it.

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AI Careers Beyond Coding

Explore the growing ecosystem of AI roles where language, cognition, evaluation and human expertise matter.

“Complex ideas, made understandable. Theory connected to practice. Learning designed for real-world application.” — The teaching philosophy behind every program
Flexible delivery

Choose the format that fits.

Programs can be tailored to the audience, depth and learning objective.

Talks
60–90 minute introductions
Workshops
Interactive half-day sessions
Short Courses
1–2 day structured learning
Custom
Programs for institutions & teams
Let's collaborate

Looking for an AI & Linguistics trainer?

I design talks, workshops and customized learning programs for schools, universities and organizations.