Cross-lingual query suggestion using query logs of different languages

Wei Gao, Cheng Niu, Jian Yun Nie, Ming Zhou, Jian Hu, Kam Fai Wong, Hsiao Wuen Hon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

42 Citations (Scopus)

Abstract

Query suggestion aims to suggest relevant queries for a given query, which help users better specify their information needs. Previously, the suggested terms are mostly in the same language of the input query. In this paper, we extend it to cross-lingual query suggestion (CLQS): for a query in one language, we suggest similar or relevant queries in other languages. This is very important to scenarios of cross-language information retrieval (CLIR) and cross-lingual keyword bidding for search engine advertisement. Instead of relying on existing query translation technologies for CLQS, we present an effective means to map the input query of one language to queries of the other language in the query log. Important monolingual and cross-lingual information such as word translation relations and word co-occurrence statistics, etc. are used to estimate the cross-lingual query similarity with a discriminative model. Benchmarks show that the resulting CLQS system significantly out performs a baseline system based on dictionary-based query translation. Besides, the resulting CLQS is tested with French to English CLIR tasks on TREC collections. The results demonstrate higher effectiveness than the traditional query translation methods.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Pages463-470
Number of pages8
DOIs
Publication statusPublished - 30 Nov 2007
Externally publishedYes
Event30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Netherlands
Duration: 23 Jul 200727 Jul 2007

Other

Other30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
CountryNetherlands
CityAmsterdam
Period23/7/0727/7/07

Fingerprint

Query languages
Query
Glossaries
Search engines
Statistics
Cross-language Information Retrieval
Language
Bidding
Search Engine

Keywords

  • Cross-language information retrieval
  • Query expansion
  • Query logs
  • Query suggestion
  • Query translation

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Applied Mathematics

Cite this

Gao, W., Niu, C., Nie, J. Y., Zhou, M., Hu, J., Wong, K. F., & Hon, H. W. (2007). Cross-lingual query suggestion using query logs of different languages. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 (pp. 463-470) https://doi.org/10.1145/1277741.1277821

Cross-lingual query suggestion using query logs of different languages. / Gao, Wei; Niu, Cheng; Nie, Jian Yun; Zhou, Ming; Hu, Jian; Wong, Kam Fai; Hon, Hsiao Wuen.

Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07. 2007. p. 463-470.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gao, W, Niu, C, Nie, JY, Zhou, M, Hu, J, Wong, KF & Hon, HW 2007, Cross-lingual query suggestion using query logs of different languages. in Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07. pp. 463-470, 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07, Amsterdam, Netherlands, 23/7/07. https://doi.org/10.1145/1277741.1277821
Gao W, Niu C, Nie JY, Zhou M, Hu J, Wong KF et al. Cross-lingual query suggestion using query logs of different languages. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07. 2007. p. 463-470 https://doi.org/10.1145/1277741.1277821
Gao, Wei ; Niu, Cheng ; Nie, Jian Yun ; Zhou, Ming ; Hu, Jian ; Wong, Kam Fai ; Hon, Hsiao Wuen. / Cross-lingual query suggestion using query logs of different languages. Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07. 2007. pp. 463-470
@inproceedings{d7b7a230bdb744dea0d8d4cd410dbc69,
title = "Cross-lingual query suggestion using query logs of different languages",
abstract = "Query suggestion aims to suggest relevant queries for a given query, which help users better specify their information needs. Previously, the suggested terms are mostly in the same language of the input query. In this paper, we extend it to cross-lingual query suggestion (CLQS): for a query in one language, we suggest similar or relevant queries in other languages. This is very important to scenarios of cross-language information retrieval (CLIR) and cross-lingual keyword bidding for search engine advertisement. Instead of relying on existing query translation technologies for CLQS, we present an effective means to map the input query of one language to queries of the other language in the query log. Important monolingual and cross-lingual information such as word translation relations and word co-occurrence statistics, etc. are used to estimate the cross-lingual query similarity with a discriminative model. Benchmarks show that the resulting CLQS system significantly out performs a baseline system based on dictionary-based query translation. Besides, the resulting CLQS is tested with French to English CLIR tasks on TREC collections. The results demonstrate higher effectiveness than the traditional query translation methods.",
keywords = "Cross-language information retrieval, Query expansion, Query logs, Query suggestion, Query translation",
author = "Wei Gao and Cheng Niu and Nie, {Jian Yun} and Ming Zhou and Jian Hu and Wong, {Kam Fai} and Hon, {Hsiao Wuen}",
year = "2007",
month = "11",
day = "30",
doi = "10.1145/1277741.1277821",
language = "English",
isbn = "1595935975",
pages = "463--470",
booktitle = "Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07",

}

TY - GEN

T1 - Cross-lingual query suggestion using query logs of different languages

AU - Gao, Wei

AU - Niu, Cheng

AU - Nie, Jian Yun

AU - Zhou, Ming

AU - Hu, Jian

AU - Wong, Kam Fai

AU - Hon, Hsiao Wuen

PY - 2007/11/30

Y1 - 2007/11/30

N2 - Query suggestion aims to suggest relevant queries for a given query, which help users better specify their information needs. Previously, the suggested terms are mostly in the same language of the input query. In this paper, we extend it to cross-lingual query suggestion (CLQS): for a query in one language, we suggest similar or relevant queries in other languages. This is very important to scenarios of cross-language information retrieval (CLIR) and cross-lingual keyword bidding for search engine advertisement. Instead of relying on existing query translation technologies for CLQS, we present an effective means to map the input query of one language to queries of the other language in the query log. Important monolingual and cross-lingual information such as word translation relations and word co-occurrence statistics, etc. are used to estimate the cross-lingual query similarity with a discriminative model. Benchmarks show that the resulting CLQS system significantly out performs a baseline system based on dictionary-based query translation. Besides, the resulting CLQS is tested with French to English CLIR tasks on TREC collections. The results demonstrate higher effectiveness than the traditional query translation methods.

AB - Query suggestion aims to suggest relevant queries for a given query, which help users better specify their information needs. Previously, the suggested terms are mostly in the same language of the input query. In this paper, we extend it to cross-lingual query suggestion (CLQS): for a query in one language, we suggest similar or relevant queries in other languages. This is very important to scenarios of cross-language information retrieval (CLIR) and cross-lingual keyword bidding for search engine advertisement. Instead of relying on existing query translation technologies for CLQS, we present an effective means to map the input query of one language to queries of the other language in the query log. Important monolingual and cross-lingual information such as word translation relations and word co-occurrence statistics, etc. are used to estimate the cross-lingual query similarity with a discriminative model. Benchmarks show that the resulting CLQS system significantly out performs a baseline system based on dictionary-based query translation. Besides, the resulting CLQS is tested with French to English CLIR tasks on TREC collections. The results demonstrate higher effectiveness than the traditional query translation methods.

KW - Cross-language information retrieval

KW - Query expansion

KW - Query logs

KW - Query suggestion

KW - Query translation

UR - http://www.scopus.com/inward/record.url?scp=36448946128&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=36448946128&partnerID=8YFLogxK

U2 - 10.1145/1277741.1277821

DO - 10.1145/1277741.1277821

M3 - Conference contribution

AN - SCOPUS:36448946128

SN - 1595935975

SN - 9781595935977

SP - 463

EP - 470

BT - Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

ER -