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Natural Language Processing (Challenges (Lexicon, Syntax, Morphology,…
Natural Language Processing
Challenges
Lexicon
Syntax
Morphology
Semantics
Phonology
Pragmatics
Discourage Analysis
Communication
Analysis
Incorporation
Perception
Application
Language Modelling: predict the next word given with reference to the previous words; used for spelling correction,handwriting recognition,speech recognition and statistical machine translation
Speech Recognition: map an acoustic signal containing a spoken natural language utterance into the corresponding sequence of words intended by the speaker
Caption Generation: generate a textual description of the contents of the image and video
Machine Translation: automatic translation of text or speech from one language to another
Text Classification: classify the topic or theme of a document
Document Summarization: create a short description of a text document
Question Answering: answer a specific question about the respective subject such as document of text
Steps
Speech
Written text
Steps
Sementic Analysis
Discourse Integration
Syntatic Analysis
Pragmatic Analysis
Lexical Analysis
History
1957-1970: Use of formal grammar as a basis for natural language processing
1970-1983: Probabilistic methods for early speech recognition
1940-1950: Foundations: Development of formal language theory
1983-1993: Finite state models
1993-Present: Strong integration of different techniques, different areas
Components
Natural Language Understanding
Natural Language Generation