Write notes for: I. Introduction to NLP:
1. Tokenization
* Definition: Breaking a text into words, phrases, or other meaningful elements
* Key concept: Tokens
2. Part-of-Speech (POS) tagging
* Definition: Assigning grammatical categories to words in a text
* Key concept: POS tags
3. Named Entity Recognition (NER)
* Definition: Identifying and classifying entities in a text (e.g., people, organizations, locations)
* Key concept: Named entities
4. Sentiment Analysis
* Definition: Analyzing opinions and emotions expressed in a text
* Key concept: Sentiment polarity (positive, negative, neutral)
5. Machine Translation
* Definition: Automatically translating text from one language to another
* Key concept: Source and target languages
6. Ambiguity in NLP
* Definition: Multiple possible interpretations for a word, phrase, or sentence
* Key concept: Disambiguation
7. Context-dependent meaning
* Definition: Word meanings that depend on the surrounding words or phrases
* Key concept: Context
8. Idiomatic expressions
* Definition: Phrases with meanings that cannot be deduced from the individual words
* Key concept: Idioms
9. Language variations
* Definition: Differences in language use based on factors like region, culture, or age group
* Key concept: Language dialects
10. Zipf's Law
* Definition: A law stating that the frequency of a word in a corpus is inversely proportional to its rank
* Key concept: Frequency distribution
11. Development of NLP
* Rule-based systems: Systems that rely on hand-crafted rules for NLP task You should write your response with 100 or more words.
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