東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A corpus-based approach for cross-li...

Li, Kar Wing.

FindBook

Google Book

Amazon

博客來

A corpus-based approach for cross-lingual information retrieval.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A corpus-based approach for cross-lingual information retrieval./
作者:	Li, Kar Wing.
面頁冊數:	139 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0368.
Contained By:	Dissertation Abstracts International66-01B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3162569
ISBN:	0496964275

A corpus-based approach for cross-lingual information retrieval.
Li, Kar Wing.

A corpus-based approach for cross-lingual information retrieval. - 139 p.

Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0368.

Thesis (Ph.D.)--The Chinese University of Hong Kong (People's Republic of China), 2004.

With the increasing amount of online information, information retrieval systems must manage large volumes of data and information, often written in different languages and stored in different locations. This provides a challenge for crosslingual semantic interoperability since much of this information may be seemingly unconnected. How to generate an overview of this disparate data and information so that it can be analyzed, searched, summarized and visualized is problematic.

ISBN: 0496964275Subjects--Topical Terms:

626642
Computer Science.

A corpus-based approach for cross-lingual information retrieval.
LDR:02240nmm 2200289 4500 001 1851446
005 20051216110300.5
008 130614s2004 eng d
020 $a 0496964275
035 $a (UnM)AAI3162569
035 $a AAI3162569
040 $a UnM $c UnM
100 1 $a Li, Kar Wing. $3 1939332
245 1 2 $a A corpus-based approach for cross-lingual information retrieval.
300 $a 139 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0368.
500 $a Adviser: Christopher C. Yang.
502 $a Thesis (Ph.D.)--The Chinese University of Hong Kong (People's Republic of China), 2004.
520 $a With the increasing amount of online information, information retrieval systems must manage large volumes of data and information, often written in different languages and stored in different locations. This provides a challenge for crosslingual semantic interoperability since much of this information may be seemingly unconnected. How to generate an overview of this disparate data and information so that it can be analyzed, searched, summarized and visualized is problematic.
520 $a Currently, many approaches to retrieve textual materials from databases depend on a lexical match between words in users' requests and those in or assigned to documents in a database. Because of the tremendous diversity in the words people use to describe the same document, simple lexical matching methods are incomplete and imprecise. How to allow users to retrieve information on the basis of a conceptual topic or meaning of a document is an important issue. The creation of conceptual relationships would allow the system to deduce users' information needs correctly and retrieve relevant documents, even though the documents contain different terms from the queries. In addition, the queries may be written in languages other than English. The translation ambiguity significantly exacerbates the retrieval problem.
590 $a School code: 1307.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, System Science. $3 1018128
690 $a 0984
690 $a 0790
710 2 0 $a The Chinese University of Hong Kong (People's Republic of China). $3 1265600
773 0 $t Dissertation Abstracts International $g 66-01B.
790 1 0 $a Yang, Christopher C., $e advisor
790 $a 1307
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3162569