Automatically generating related queries in Japanese.
Web searchers reformulate their queries, as they adapt to search engine behavior, learn more about a topic, or simply correct typing errors. Automatic query rewriting can help user web search, by augmenting a user’s query, or replacing the query with one likely to retrieve better results. One exampl...
| Publicado en: | Language Resources & Evaluation Vol. 40; no. 3/4; pp. 219 - 233 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Aug2006
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=27201192&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 27201192 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Aug2006 vid: 40 iid: 3/4 pid: 237 pub: Springer Nature artinfo: ui: 27201192 10.1007/s10579-007-9021-0 ppf: 219 ppct: 14 formats: fmt: @attributes: type: P size: 229KB tig: atl: Automatically generating related queries in Japanese. aug: au: Jones, Rosie Bartz, Kevin Subasic, Pero Rey, Benjamin affil: Yahoo Inc., 701 First Avenue, Sunnyvale, CA 94089-0703, USA Harvard University, Science Center, 7th Floor, 1 Oxford St., Cambridge, MA 02138, USA Advertising.com (AOL/Time Warner), 888 Villa St., Suite 300 Mountain View, CA 94041, USA su: Japanese language Internet searching Japanese character sets (Data processing) Web search engines Data mining Foreign language education Japan sug: subj: Japan Japanese language Internet searching Japanese character sets (Data processing) Web search engines Data mining Foreign language education keyword: Japanese web search queries Kanji in web search Query processing Query reformulation Query substitution ab: Web searchers reformulate their queries, as they adapt to search engine behavior, learn more about a topic, or simply correct typing errors. Automatic query rewriting can help user web search, by augmenting a user’s query, or replacing the query with one likely to retrieve better results. One example of query-rewriting is spell-correction. We may also be interested in changing words to synonyms or other related terms. For Japanese, the opportunities for improving results are greater than for languages with a single character set, since documents may be written in multiple character sets, and a user may express the same meaning using different character sets. We give a description of the characteristics of Japanese search query logs and manual query reformulations carried out by Japanese web searchers. We use characteristics of Japanese query reformulations to extend previous work on automatic query rewriting in English, taking into account the Japanese writing system. We introduce several new features for building models resulting from this difference and discuss their impact on automatic query rewriting. We also examine enhancements in the form of rules which block conversion between some character sets, to address Japanese homophones. The precision/recall curves show significant improvement with the new feature set and blocking rules, and are often better than the English counterpart. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2006. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2006 holdings: @attributes: islocal: N |
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