Arabic-English Cross-Language Information Retrieval
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Preise | 2017 | 2019 | 2020 |
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Schnitt | € 35,30 | € 34,56 | € 35,90 |
Nachfrage |
1
Arabic-English Cross-Language Information Retrieval
DE HC NW
ISBN: 9783330012936 bzw. 3330012935, in Deutsch, Lap Lambert Academic Publishing, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that is capable of retrieving relevant information from a set of documents written in English based on the users queries, written in the Arabic language. This Research used various techniques such as Google Translator API and Vector Space Model. The research revealed Arabic native speakers get better results when searching an English dataset using queries from their own language. Lieferzeit 1-2 Werktage.
Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that is capable of retrieving relevant information from a set of documents written in English based on the users queries, written in the Arabic language. This Research used various techniques such as Google Translator API and Vector Space Model. The research revealed Arabic native speakers get better results when searching an English dataset using queries from their own language. Lieferzeit 1-2 Werktage.
2
Arabic-English Cross-Language Information Retrieval
~EN NW AB
ISBN: 9783330012936 bzw. 3330012935, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Niederlande, Lieferzeit: 5 Tage, zzgl. Versandkosten.
Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that is capable of retrieving relevant information from a set of documents written in English based on the users queries, written in the Arabic language. This Research used various techniques such as Google Translator API and Vector Space Model. The research revealed Arabic native speakers get better results when searching an English dataset using queries from their own language.
Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that is capable of retrieving relevant information from a set of documents written in English based on the users queries, written in the Arabic language. This Research used various techniques such as Google Translator API and Vector Space Model. The research revealed Arabic native speakers get better results when searching an English dataset using queries from their own language.
3
Arabic-English Cross-Language Information Retrieval
~EN PB NW
ISBN: 9783330012936 bzw. 3330012935, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Arabic-English Cross-Language Information Retrieval: Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that is capable of retrieving relevant information from a set of documents written in English based on the users queries, written in the Arabic language. This Research used various techniques such as Google Translator API and Vector Space Model. The research revealed Arabic native speakers get better results when searching an English dataset using queries from their own language. Englisch, Taschenbuch.
Arabic-English Cross-Language Information Retrieval: Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that is capable of retrieving relevant information from a set of documents written in English based on the users queries, written in the Arabic language. This Research used various techniques such as Google Translator API and Vector Space Model. The research revealed Arabic native speakers get better results when searching an English dataset using queries from their own language. Englisch, Taschenbuch.
4
Arabic-English Cross-Language Information Retrieval
EN NW
ISBN: 9783330012936 bzw. 3330012935, in Englisch, neu.
Lieferung aus: Deutschland, Versandfertig innerhalb von 3 Wochen.
Arabic-English Cross-Language Information Retrieval, Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users¿ queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that is capable of retrieving relevant information from a set of documents written in English based on the users¿ queries, written in the Arabic language. This Research used various techniques such as Google Translator API and Vector Space Model. The research revealed Arabic native speakers get better results when searching an English dataset using queries from their own language.
Arabic-English Cross-Language Information Retrieval, Information retrieval (IR) is the base for cross-language information retrieval (CLIR). It seeks to retrieve relevant documents in a collection of files written in a different language or languages from users¿ queries. In other words, the goal of a CLIR system is to link the language boundary by providing access in one language to documents written in another language(s) located in the database. The aim of this research was to develop an automatic cross-lingual information retrieval system that is capable of retrieving relevant information from a set of documents written in English based on the users¿ queries, written in the Arabic language. This Research used various techniques such as Google Translator API and Vector Space Model. The research revealed Arabic native speakers get better results when searching an English dataset using queries from their own language.
5
Symbolbild
Arabic-English Cross-Language Information Retrieval (2016)
DE PB NW RP
ISBN: 9783330012936 bzw. 3330012935, in Deutsch, Lap Lambert Academic Publishing, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
6
Arabic-English Cross-Language Information Retrieval
~EN PB NW
ISBN: 3330012935 bzw. 9783330012936, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
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