Abstract
This paper presents an approach to automatically extracting the bilingual translations of many Web query terms through mining the Web anchor texts. Some preliminary experiments are conducted on using 109,416 Web pages containing both Chinese and English anchor texts in their in-links to extract Chinese translations of 200 English queries selected from popular query terms in Taiwan. It is found that the effective translations of 75% of the popular query terms can be extracted, in which 87.2% cannot be obtained in common translation dictionaries.
| Original language | English |
|---|---|
| Pages (from-to) | 388-389 |
| Number of pages | 2 |
| Journal | SIGIR Forum (ACM Special Interest Group on Information Retrieval) |
| Publication status | Published - 2001 Oct 22 |
| Event | 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - New Orleans, LA, United States Duration: 2001 Sep 9 → 2001 Sep 13 |
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All Science Journal Classification (ASJC) codes
- Management Information Systems
- Hardware and Architecture
Cite this
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Anchor text mining for translation extraction of query terms. / Lu, Wen Hsiang; Chein, Lee Feng; Lee, Hsi Jian.
In: SIGIR Forum (ACM Special Interest Group on Information Retrieval), 22.10.2001, p. 388-389.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Anchor text mining for translation extraction of query terms
AU - Lu, Wen Hsiang
AU - Chein, Lee Feng
AU - Lee, Hsi Jian
PY - 2001/10/22
Y1 - 2001/10/22
N2 - This paper presents an approach to automatically extracting the bilingual translations of many Web query terms through mining the Web anchor texts. Some preliminary experiments are conducted on using 109,416 Web pages containing both Chinese and English anchor texts in their in-links to extract Chinese translations of 200 English queries selected from popular query terms in Taiwan. It is found that the effective translations of 75% of the popular query terms can be extracted, in which 87.2% cannot be obtained in common translation dictionaries.
AB - This paper presents an approach to automatically extracting the bilingual translations of many Web query terms through mining the Web anchor texts. Some preliminary experiments are conducted on using 109,416 Web pages containing both Chinese and English anchor texts in their in-links to extract Chinese translations of 200 English queries selected from popular query terms in Taiwan. It is found that the effective translations of 75% of the popular query terms can be extracted, in which 87.2% cannot be obtained in common translation dictionaries.
UR - http://www.scopus.com/inward/record.url?scp=0034785486&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0034785486&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0034785486
SP - 388
EP - 389
JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)
JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)
SN - 0163-5840
ER -