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511:. If language is grounded, it is equal to recognizing a machine readable meaning. For the restricted domain of spatial analysis, a computer based language understanding system was demonstrated.
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is the task of building structures that approximate concepts from a large set of documents. It generally does not involve prior semantic understanding of the documents. A
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can analyze the speech of humans. Another strategy to understand the semantics of a text is
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where each term is derived from the few terms before it.
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Nitin
Indurkhya; Fred J. Damerau (22 February 2010).
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62:"Semantic analysis" machine learning
598:Handbook of Natural Language Processing
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521:in term space. A prominent example is
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51:adding citations to reliable sources
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1430:. You can help Knowledge by
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348:programming languages
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870:Word-sense induction
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47:improve this article
16:For other uses, see
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1275:Pachinko allocation
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960:Machine translation
950:Text simplification
945:Sentence extraction
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243:Semantic gap
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103:January 2021
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40:verification
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1257:Topic model
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387:Concurrency
382:Categorical
185:Statistical
1471:Categories
978:Rule-based
860:Truecasing
728:Stop words
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139:Linguistic
73:newspapers
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1083:Types and
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377:Axiomatic
372:Algebraic
157:Subfields
129:Semantics
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1183:FrameNet
1168:BabelNet
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1117:PropBank
1062:Word2vec
1027:fastText
908:Stemming
549:See also
444:Language
256:Analysis
207:Analysis
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80:books
1428:stub
1161:Data
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537:and
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397:Game
66:news
1193:UBY
487:In
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