Filtrar la búsqueda

  • Libros (4)

a

Intervalo de precios personalizado (EUR)

a

Dejene ejigu dedefa (4 resultados)

Autor: 
Refinar con la Búsqueda avanzada
  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2012

    3659191604 / 9783659191602

    • Tapa blanda

    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Usado - Como Nuevo

    EUR 182,71

    Envío por EUR 29,96 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

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

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2012

    3659191604 / 9783659191602

    • Tapa blanda
    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 68,00

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2012

    3659191604 / 9783659191602

    • Tapa blanda
    • Impresión bajo demanda

    Librería: moluna, Greven, Alemaniamoluna

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 56,09

    Envío por EUR 48,99 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jul 2012, 2012

    3659191604 / 9783659191602

    • Tapa blanda
    • Impresión bajo demanda

    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 272,00

    Envío por EUR 60,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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.…