معالجة اللغات الطبيعية (بالانجليزية NLP) هي مجال علوم الحاسوب و اللغويات المعنية بالتفاعلات بين الحاسوب واللغات الطبيعية. والتي بدأت كفرع من الذكاء الاصطناعي والتي بدورها متفرعة من المعلوماتية.
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Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.
Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation.
Contents
1 History
1.1 Symbolic NLP (1950s - early 1990s)
1.2 Statistical NLP (1990s-2010s)
1.3 Neural NLP (present)
2 Methods: Rules, statistics, neural networks
2.1 Statistical methods
2.2 Neural networks
3 Common NLP tasks
3.1 Text and speech processing
3.2 Morphological analysis
3.3 Syntactic analysis
3.4 Lexical semantics (of individual words in context)
3.5 Relational semantics (semantics of individual sentences)
3.6 Discourse (semantics beyond individual sentences)
3.7 Higher-level NLP applications
4 General tendencies and (possible) future directions
4.1 Cognition and NLP
Негізгі бет CYK Algorithm For Parsing Context Free Grammar , Probabilistic CYK , The Triangular Table شرح عربى
Пікірлер: 4