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  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2012

    3659191604 / 9783659191602

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    Vendeur : Mispah books, Redhill, SURRE, Royaume-UniMispah books

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    Etat: Occasion - Comme neuf

    EUR 182,71

    EUR 29,96 expédition 
    Expédition depuis Royaume-Uni vers Etats-Unis

    Quantité disponible : 1 disponible

    Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2012

    3659191604 / 9783659191602

    • Couverture souple
    • impression à la demande

    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 68,00

    EUR 35,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 1 disponible

    Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Named Entity Recognition (NER) is an information extraction task aimed at identifying and classifying words of a sentence, a paragraph or a document into predefined categories of Named Entities (NEs). NEs are terms that are used to name a person, location or organization. They are also used to refer to the value or amount of something. NER is an important tool in almost all NLP application areas out of which it is very essential in Search Engines (Semantic based), Machine Translation, Question-Answering, Indexing for Information Retrieval and Automatic Summarization systems. A lot of NER researches have been conducted and systems have been developed for a resource rich European and Asian languages. This book proposes and presents the development of NER system for Afan Oromo, a language that has the largest native speakers in Ethiopia. The algorithms and techniques presented in this study have shown good performance thereby reflecting how NER system can be developed for a resource scarce languages.…

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2012

    3659191604 / 9783659191602

    • Couverture souple
    • impression à la demande

    Vendeur : moluna, Greven, Allemagnemoluna

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 56,09

    EUR 48,99 expédition 
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    Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Legesse Kejela MandefroMr. Mandefro holds BSc and MSc in Computer Science from Bahirdar University and Addis Ababa University respectively. Having over 5 years of teaching experience in universities and highly interested in Java Prog.…

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing Jul 2012, 2012

    3659191604 / 9783659191602

    • Couverture souple
    • impression à la demande

    Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 272,00

    EUR 60,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 1 disponible

    Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Named Entity Recognition (NER) is an information extraction task aimed at identifying and classifying words of a sentence, a paragraph or a document into predefined categories of Named Entities (NEs). NEs are terms that are used to name a person, location or organization. They are also used to refer to the value or amount of something. NER is an important tool in almost all NLP application areas out of which it is very essential in Search Engines (Semantic based), Machine Translation, Question-Answering, Indexing for Information Retrieval and Automatic Summarization systems. A lot of NER researches have been conducted and systems have been developed for a resource rich European and Asian languages. This book proposes and presents the development of NER system for Afan Oromo, a language that has the largest native speakers in Ethiopia. The algorithms and techniques presented in this study have shown good performance thereby reflecting how NER system can be developed for a resource scarce languages.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 172 pp. Englisch.…