WO2010042452A3 - Machine learning for transliteration - Google Patents

Machine learning for transliteration Download PDF

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Publication number
WO2010042452A3
WO2010042452A3 PCT/US2009/059576 US2009059576W WO2010042452A3 WO 2010042452 A3 WO2010042452 A3 WO 2010042452A3 US 2009059576 W US2009059576 W US 2009059576W WO 2010042452 A3 WO2010042452 A3 WO 2010042452A3
Authority
WO
WIPO (PCT)
Prior art keywords
anchor text
transliteration
potential
identifying
machine learning
Prior art date
Application number
PCT/US2009/059576
Other languages
French (fr)
Other versions
WO2010042452A2 (en
Inventor
Slaven Bilac
Hiroshi Ichikawa
Original Assignee
Google Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Google Inc. filed Critical Google Inc.
Priority to CN200980148103.XA priority Critical patent/CN102227724B/en
Priority to JP2011531101A priority patent/JP5604435B2/en
Publication of WO2010042452A2 publication Critical patent/WO2010042452A2/en
Publication of WO2010042452A3 publication Critical patent/WO2010042452A3/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/40Processing or translation of natural language
    • G06F40/53Processing of non-Latin text

Abstract

Methods, systems, and apparatus, including computer program products, for automatically identifying transliteration pairs are disclosed. In one implementation, a method is provided. The method includes receiving a plurality of resources, the plurality of resources including a plurality of anchor text; determining one or more potential transliterations from the plurality of anchor text; and identifying one or more potential transliteration pairs from the one or more potential transliterations, where each potential transliteration pair includes a first anchor text in a first writing system and a second anchor text in a second writing system, the second anchor text and the first anchor text identifying a same resource or location.
PCT/US2009/059576 2008-10-10 2009-10-05 Machine learning for transliteration WO2010042452A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN200980148103.XA CN102227724B (en) 2008-10-10 2009-10-05 Machine learning for transliteration
JP2011531101A JP5604435B2 (en) 2008-10-10 2009-10-05 Machine learning for transliteration

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US10469208P 2008-10-10 2008-10-10
US61/104,692 2008-10-10
US12/357,269 2009-01-21
US12/357,269 US8275600B2 (en) 2008-10-10 2009-01-21 Machine learning for transliteration

Publications (2)

Publication Number Publication Date
WO2010042452A2 WO2010042452A2 (en) 2010-04-15
WO2010042452A3 true WO2010042452A3 (en) 2010-07-08

Family

ID=42099693

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2009/059576 WO2010042452A2 (en) 2008-10-10 2009-10-05 Machine learning for transliteration

Country Status (5)

Country Link
US (1) US8275600B2 (en)
JP (1) JP5604435B2 (en)
KR (1) KR101650112B1 (en)
CN (1) CN102227724B (en)
WO (1) WO2010042452A2 (en)

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Also Published As

Publication number Publication date
US8275600B2 (en) 2012-09-25
CN102227724A (en) 2011-10-26
KR20110083623A (en) 2011-07-20
US20100094614A1 (en) 2010-04-15
JP5604435B2 (en) 2014-10-08
WO2010042452A2 (en) 2010-04-15
JP2012505474A (en) 2012-03-01
KR101650112B1 (en) 2016-08-22
CN102227724B (en) 2014-09-10

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