Perfeziona la tua ricerca

  • Libri (4)

a

Fascia di prezzo personalizzata (EUR)

a

Dejene ejigu dedefa (4 risultati)

Autore: 
Perfeziona con la Ricerca avanzata
  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

    3659191604 / 9783659191602

    • Brossura

    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

    Venditore con 4 stelle
    Contatta il venditore

    Condizione: Usato - Come nuovo

    EUR 182,71

    EUR 29,96 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

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

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

    3659191604 / 9783659191602

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 68,00

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. Condizione: 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.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

    3659191604 / 9783659191602

    • Brossura
    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 56,09

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: 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.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Jul 2012, 2012

    3659191604 / 9783659191602

    • Brossura
    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 272,00

    EUR 60,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. Condizione: 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.…