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Synopsis
Part-of-speech tagging is the process of assigning a part-of-speech or lexical class marker to each word in the given text. Tagging for natural languages is similar to tokenization and lexical analysis for computer languages, except that we encounter ambiguities which are to be resolved. Part-of-speech tagging plays a fundamental role in various Natural Language Processing (NLP) applications such as speech recognition, information extraction, machine translation and word sense disambiguation. Part-of-speech tagging, particularly plays very important role in processing free-word-order languages because such languages have relatively complex morphological structure.
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Natural Language Processing Applications
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Scholars' Press Jan 2022, 2022
ISBN 10: 6138967844
ISBN 13: 9786138967842
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Part-of-speech tagging is the process of assigning a part-of-speech or lexical class marker to each word in the given text. Tagging for natural languages is similar to tokenization and lexical analysis for computer languages, except that we encounter ambiguities which are to be resolved. Part-of-speech tagging plays a fundamental role in various Natural Language Processing (NLP) applications such as speech recognition, information extraction, machine translation and word sense disambiguation. Part-of-speech tagging, particularly plays very important role in processing free-word-order languages because such languages have relatively complex morphological structure. 128 pp. Englisch. Seller Inventory # 9786138967842
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Natural Language Processing Applications
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Part-of-speech tagging is the process of assigning a part-of-speech or lexical class marker to each word in the given text. Tagging for natural languages is similar to tokenization and lexical analysis for computer languages, except that we encounter ambigu. Seller Inventory # 562327845
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Natural Language Processing Applications : Part of Speech Tagging
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Part-of-speech tagging is the process of assigning a part-of-speech or lexical class marker to each word in the given text. Tagging for natural languages is similar to tokenization and lexical analysis for computer languages, except that we encounter ambiguities which are to be resolved. Part-of-speech tagging plays a fundamental role in various Natural Language Processing (NLP) applications such as speech recognition, information extraction, machine translation and word sense disambiguation. Part-of-speech tagging, particularly plays very important role in processing free-word-order languages because such languages have relatively complex morphological structure. Seller Inventory # 9786138967842
Quantity: 1 available
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Natural Language Processing Applications
Published by
Scholars' Press Jan 2022, 2022
ISBN 10: 6138967844
ISBN 13: 9786138967842
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Part-of-speech tagging is the process of assigning a part-of-speech or lexical class marker to each word in the given text. Tagging for natural languages is similar to tokenization and lexical analysis for computer languages, except that we encounter ambiguities which are to be resolved. Part-of-speech tagging plays a fundamental role in various Natural Language Processing (NLP) applications such as speech recognition, information extraction, machine translation and word sense disambiguation. Part-of-speech tagging, particularly plays very important role in processing free-word-order languages because such languages have relatively complex morphological structure.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Seller Inventory # 9786138967842
Quantity: 2 available