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linguistically-aware NLP\n- Multilingual applications\n- Grammar and syntax processing\n- Semantic representation\n\n## Key Concepts\n\n### Linguistic Analysis Levels\n```\n┌─────────────────────────────────────────────┐\n│              Discourse                      │\n│         (context, coherence)                │\n├─────────────────────────────────────────────┤\n│               Semantics                     │\n│     (meaning, representation)               │\n├─────────────────────────────────────────────┤\n│             Pragmatics                      │\n│    (intent, context, speech acts)           │\n├─────────────────────────────────────────────┤\n│              Syntax                         │\n│      (grammar, structure rules)            │\n├─────────────────────────────────────────────┤\n│               Morphology                    │\n│       (word formation, inflections)        │\n├─────────────────────────────────────────────┤\n│             Phonology\u002FOrthography           │\n│           (sounds, written form)           │\n└─────────────────────────────────────────────┘\n```\n\n### Syntax Parsing\n```python\nimport spacy\n\nnlp = spacy.load(\"en_core_web_sm\")\ndoc = nlp(\"The cat sat on the mat.\")\n\n# Part-of-speech tags\nfor token in doc:\n    print(token.text, token.pos_, token.tag_)\n\n# Dependency parsing\nfor token in doc:\n    print(token.text, token.dep_, token.head.text)\n\n# Named entities\nfor ent in doc.ents:\n    print(ent.text, ent.label_)\n```\n\n### Semantic Representation\n- **Formal Semantics**: Lambda calculus, FOL\n- **Frame Semantics**: FrameNet\n- **Semantic Primitives**: Primitive theory\n- **Distributional Semantics**: Word embeddings\n\n### Linguistic Resources\n- **WordNet**: Lexical database\n- **UD**: Universal Dependencies\n- **Penn Treebank**: Syntactic annotations\n- **BabelNet**: Multilingual lexical knowledge\n","## What I do\n\n- Apply linguistic theory to computation\n- Build language models with linguistic structure\n- Implement syntactic and semantic analysis\n- Create cross-linguistic NLP systems\n- Handle multilingual text processing\n\n## When to use me\n\nUse me when:\n- Building linguistically-aware NLP\n- Multilingual applications\n- Grammar and syntax processing\n- Semantic representation\n\n## Key Concepts\n\n### Linguistic Analysis Levels\n```\n┌─────────────────────────────────────────────┐\n│              Discourse                      │\n│         (context, coherence)                │\n├─────────────────────────────────────────────┤\n│               Semantics                     │\n│     (meaning, representation)               │\n├─────────────────────────────────────────────┤\n│             Pragmatics                      │\n│    (intent, context, speech acts)           │\n├─────────────────────────────────────────────┤\n│              Syntax                         │\n│      (grammar, structure rules)            │\n├─────────────────────────────────────────────┤\n│         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