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HOW TO PROCESS NATURAL LANGUAGES IN TERM OF COMPUTATION
Typology: Thesis
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Natural Language Processing (^) Natural Language Processing (NLP) is the study of the computational treatment of natural languages: (^) Most commonly Natural Language Understanding (^) The complementary task is Natural Language Generation (^) NLP draws on research in Linguistics, (^) Theoretical Computer Science, Artificial (^) Intelligence, Mathematics and Statistics, (^) Psychology, etc.
Problems in Natural Language Understanding Multiword meaning Syntactic ambiguity (^) Imprecision In completeness Antecedent
Multiword Meaning In natural languages sometime we use the same word with two different meanings For example A bank is situated at river bank.
Imprecision Sometime same word is used for two different purposes I have been waiting for a long time Baber ruled over India a log time ago
Unclear Antecedent Sometime problem is arises due to unclear antecedent. For example Jean told marry she was in love. س ے نننا ننن رننکھا توےھ ننن اننتےر اننتھوںپے ے کنننننن س لمی ےاسلم نننن ھ وئ ے کوئ کپکپاھٹ محسوس نننن -
Steps Involved in Natural Language Understanding Lexical Analysis Morphological Analysis (^) Syntax Analysis Semantic analysis Pragmatic analysis
Lexical Analysis (^) Lexical analysis deals with breaking the sentence into tokens. A man was running after the lexical analysis the output will be A man was Array of token running
Syntax analysis Each and every language has its own grammar. So in order to understand a natural language sentence it is necessary that it should be grammatically correct. Since for computer it will become very difficult to understand sentences , which are grammatically not correct. (^) Birds fly. (Noun Verb) ---------- > valid (^) The are Flying birds.
Semantic Analysis In semantic analysis the usage of various word categories in the sentence are checked. Since sometime sentence is grammatically correct but is still meaningless e.g. Wednesday fly (noun verb) --------- > invalid