Reference 2 stops to get here · leads to 2

Part-of-Speech Tagging

Labeling words in text with their grammatical roles (noun, verb, adjective, etc.).

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2 stops · basics first
  1. Natural Language Processing ✓ understood

    The field of AI that lets computers read, interpret, translate and generate human language, from spam filters and search to chatbots.

  2. Token ✓ understood

    The basic unit of text that a language model processes, typically representing a word, subword, or character. Tokens are the fundamental building blocks for LLM input and output.

  3. Part-of-Speech Tagging · you are here ✓ understood

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Natural Language Processing Token
Part-of-Speech Tagging

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Constituency Parsing Dependency Parsing

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Language & LLMs Named Entity Recognition Identifying and classifying named entities (people, organizations, locations) in text into predefined categories. Language & LLMs Dependency Parsing Analyzing grammatical structure by identifying relationships between words (subject, object, modifier). Language & LLMs Constituency Parsing Analyzing sentence structure into nested constituents (noun phrases, verb phrases, etc.). Language & LLMs Lemmatization Reducing words to their base or dictionary form (running → run) using linguistic knowledge. Foundations Hidden Markov Model A statistical model with hidden states that transition probabilistically, generating observable outputs.