SlideShare a Scribd company logo

A Study Of Statistical Models For Query Translation ：Finding A Good Unit Of Translation

•Download as PPT, PDF•
•
I
iyo
1 of 42
A Study of Statistical Models for Query Translation ： Finding a Good Unit of Translation Reporter: Yueng-Sheng Su Jianfeng Gao, Jian-Yun Nie. SIGIR’06, August 6–11, 2006, Seattle, Washington, USA. 05/26/09
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Introduction ,[object Object],[object Object],[object Object],05/26/09
Co-occurrence Model ,[object Object],[object Object],05/26/09
Co-occurrence Model ,[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Co-occurrence Model (Algorithm) ,[object Object],05/26/09
Co-occurrence Model (Algorithm) ,[object Object],[object Object],05/26/09
Co-occurrence Model (Algorithm) ,[object Object],[object Object],[object Object],05/26/09
Graphic Model (GM) View ,[object Object],[object Object],05/26/09
Graphic Model (GM) View ,[object Object],[object Object],[object Object],05/26/09
Graphic Model (GM) View ,[object Object],[object Object],05/26/09
Graphic Model (GM) View ,[object Object],05/26/09
Reranking Approach ,[object Object],[object Object],05/26/09
Reranking Approach ,[object Object],[object Object],[object Object],05/26/09
Noun Phrase (NP) Translation Model ,[object Object],[object Object],05/26/09
Noun Phrase (NP) Translation Model ,[object Object],[object Object],05/26/09
NP Translation Model (Generative Model) ,[object Object],05/26/09
NP Translation Model (Generative Model) ,[object Object],[object Object],05/26/09
NP Translation Model (Generative Model) ,[object Object],[object Object],[object Object],[object Object],05/26/09
NP Translation Model (Feature Functions) ,[object Object],[object Object],[object Object],05/26/09
NP Translation Model (Feature Functions) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
NP Translation Model (Feature Functions) ,[object Object],[object Object],05/26/09
Dependency Translation Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Dependency Translation Model ,[object Object],[object Object],[object Object],05/26/09
Dependency Translation Model (Generative Model) ,[object Object],05/26/09
Dependency Translation Model (Generative Model) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Dependency Translation Model (Feature Functions) ,[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Translation Process ,[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Experiment ,[object Object],[object Object],05/26/09
Experiment ,[object Object],[object Object],05/26/09
Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Experiment ,[object Object],[object Object],[object Object],[object Object],05/26/09
Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],05/26/09
Result 05/26/09
Result 05/26/09
Result 05/26/09
Result 05/26/09
Result ,[object Object],[object Object],[object Object],[object Object],05/26/09
Conclusion ,[object Object],[object Object],05/26/09
Conclusion ,[object Object],[object Object],05/26/09

Recommended

8. Qun Liu (DCU) Hybrid Solutions for Translation
8. Qun Liu (DCU) Hybrid Solutions for Translation8. Qun Liu (DCU) Hybrid Solutions for Translation
8. Qun Liu (DCU) Hybrid Solutions for TranslationRIILP
 
Statistical machine translation
Statistical machine translationStatistical machine translation
Statistical machine translationHrishikesh Nair
 
Labelled Variables in Logic Programming: A First Prototipe in tuProlog
Labelled Variables in Logic Programming: A First Prototipe in tuPrologLabelled Variables in Logic Programming: A First Prototipe in tuProlog
Labelled Variables in Logic Programming: A First Prototipe in tuPrologRoberta Calegari
 
Csr2011 june17 15_15_kaminski
Csr2011 june17 15_15_kaminskiCsr2011 june17 15_15_kaminski
Csr2011 june17 15_15_kaminskiCSR2011
 
Interpreter
InterpreterInterpreter
InterpreterAhmad Al-bsheer
 
Procedural programming
Procedural programmingProcedural programming
Procedural programmingAnbarasan Gangadaran
 
DBMS CS3
DBMS CS3DBMS CS3
DBMS CS3Infinity Tech Solutions
 
Unit v
Unit vUnit v
Unit vTPLatchoumi
 

Recommended

8. Qun Liu (DCU) Hybrid Solutions for Translation
8. Qun Liu (DCU) Hybrid Solutions for Translation8. Qun Liu (DCU) Hybrid Solutions for Translation
8. Qun Liu (DCU) Hybrid Solutions for TranslationRIILP
 
Statistical machine translation
Statistical machine translationStatistical machine translation
Statistical machine translationHrishikesh Nair
 
Labelled Variables in Logic Programming: A First Prototipe in tuProlog
Labelled Variables in Logic Programming: A First Prototipe in tuPrologLabelled Variables in Logic Programming: A First Prototipe in tuProlog
Labelled Variables in Logic Programming: A First Prototipe in tuPrologRoberta Calegari
 
Csr2011 june17 15_15_kaminski
Csr2011 june17 15_15_kaminskiCsr2011 june17 15_15_kaminski
Csr2011 june17 15_15_kaminskiCSR2011
 
Interpreter
InterpreterInterpreter
InterpreterAhmad Al-bsheer
 
Procedural programming
Procedural programmingProcedural programming
Procedural programmingAnbarasan Gangadaran
 
DBMS CS3
DBMS CS3DBMS CS3
DBMS CS3Infinity Tech Solutions
 
Unit v
Unit vUnit v
Unit vTPLatchoumi
 
Introduction to programing languages part 2
Introduction to programing languages part 2Introduction to programing languages part 2
Introduction to programing languages part 2university of education,Lahore
 
Statistical machine translation
Statistical machine translationStatistical machine translation
Statistical machine translationasimuop
 
Introduction to programing languages part 3
Introduction to programing languages part 3Introduction to programing languages part 3
Introduction to programing languages part 3university of education,Lahore
 
Asp.net main
Asp.net mainAsp.net main
Asp.net mainYogeshDhamke2
 
A Theory of Scope
A Theory of ScopeA Theory of Scope
A Theory of ScopeLars Marius Garshol
 
Unit ii
Unit iiUnit ii
Unit iiTPLatchoumi
 
Programming In C++
Programming In C++ Programming In C++
Programming In C++ shammi mehra
 
Looking for Invariant Operators in Argumentation
Looking for Invariant Operators in ArgumentationLooking for Invariant Operators in Argumentation
Looking for Invariant Operators in ArgumentationCarlo Taticchi
 
[Paper Introduction] Translating into Morphologically Rich Languages with Syn...
[Paper Introduction] Translating into Morphologically Rich Languages with Syn...[Paper Introduction] Translating into Morphologically Rich Languages with Syn...
[Paper Introduction] Translating into Morphologically Rich Languages with Syn...NAIST Machine Translation Study Group
 
Theory of Computation Lecture Notes
Theory of Computation Lecture NotesTheory of Computation Lecture Notes
Theory of Computation Lecture NotesFellowBuddy.com
 
Unit i
Unit iUnit i
Unit iTPLatchoumi
 
Doppl development iteration #1
Doppl development iteration #1Doppl development iteration #1
Doppl development iteration #1Diego Perini
 
final pl paper
final pl paperfinal pl paper
final pl paperAADIL AHMED ADAM
 
Introduction to Procedural Programming in C++
Introduction to Procedural Programming in C++Introduction to Procedural Programming in C++
Introduction to Procedural Programming in C++Salahaddin University-Erbil
 
Computer programming questions
Computer programming questionsComputer programming questions
Computer programming questionsestoredesignerclothi
 
Programming Paradigms Seminar 1
Programming Paradigms Seminar 1Programming Paradigms Seminar 1
Programming Paradigms Seminar 1neoxiuting
 
Substitutability
SubstitutabilitySubstitutability
SubstitutabilityKevlin Henney
 
Implementation
ImplementationImplementation
Implementationadil raja
 
Programming topics. syed arslan rizvi
Programming topics. syed arslan rizviProgramming topics. syed arslan rizvi
Programming topics. syed arslan rizviSyed Arslan Rizvi
 
Information retrieval as statistical translation
Information retrieval as statistical translationInformation retrieval as statistical translation
Information retrieval as statistical translationBhavesh Singh
 
ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...
ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...
ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...Lifeng (Aaron) Han
 
Syntax analysis
Syntax analysisSyntax analysis
Syntax analysisJessore University of Science & Technology, Jessore.
 

More Related Content

What's hot

Statistical machine translation
Statistical machine translationStatistical machine translation
Statistical machine translationasimuop
 
Programming In C++
Programming In C++ Programming In C++
Programming In C++ shammi mehra
 
Looking for Invariant Operators in Argumentation
Looking for Invariant Operators in ArgumentationLooking for Invariant Operators in Argumentation
Looking for Invariant Operators in ArgumentationCarlo Taticchi
 
[Paper Introduction] Translating into Morphologically Rich Languages with Syn...
[Paper Introduction] Translating into Morphologically Rich Languages with Syn...[Paper Introduction] Translating into Morphologically Rich Languages with Syn...
[Paper Introduction] Translating into Morphologically Rich Languages with Syn...NAIST Machine Translation Study Group
 
Theory of Computation Lecture Notes
Theory of Computation Lecture NotesTheory of Computation Lecture Notes
Theory of Computation Lecture NotesFellowBuddy.com
 
Doppl development iteration #1
Doppl development iteration #1Doppl development iteration #1
Doppl development iteration #1Diego Perini
 
Programming Paradigms Seminar 1
Programming Paradigms Seminar 1Programming Paradigms Seminar 1
Programming Paradigms Seminar 1neoxiuting
 
Implementation
ImplementationImplementation
Implementationadil raja
 
Programming topics. syed arslan rizvi
Programming topics. syed arslan rizviProgramming topics. syed arslan rizvi
Programming topics. syed arslan rizviSyed Arslan Rizvi
 

What's hot (19)

Introduction to programing languages part 2
Introduction to programing languages part 2Introduction to programing languages part 2
Introduction to programing languages part 2
 
Statistical machine translation
Statistical machine translationStatistical machine translation
Statistical machine translation
 
Introduction to programing languages part 3
Introduction to programing languages part 3Introduction to programing languages part 3
Introduction to programing languages part 3
 
Asp.net main
Asp.net mainAsp.net main
Asp.net main
 
A Theory of Scope
A Theory of ScopeA Theory of Scope
A Theory of Scope
 
Unit ii
Unit iiUnit ii
Unit ii
 
Programming In C++
Programming In C++ Programming In C++
Programming In C++
 
Looking for Invariant Operators in Argumentation
Looking for Invariant Operators in ArgumentationLooking for Invariant Operators in Argumentation
Looking for Invariant Operators in Argumentation
 
[Paper Introduction] Translating into Morphologically Rich Languages with Syn...
[Paper Introduction] Translating into Morphologically Rich Languages with Syn...[Paper Introduction] Translating into Morphologically Rich Languages with Syn...
[Paper Introduction] Translating into Morphologically Rich Languages with Syn...
 
Theory of Computation Lecture Notes
Theory of Computation Lecture NotesTheory of Computation Lecture Notes
Theory of Computation Lecture Notes
 
Unit i
Unit iUnit i
Unit i
 
Doppl development iteration #1
Doppl development iteration #1Doppl development iteration #1
Doppl development iteration #1
 
final pl paper
final pl paperfinal pl paper
final pl paper
 
Introduction to Procedural Programming in C++
Introduction to Procedural Programming in C++Introduction to Procedural Programming in C++
Introduction to Procedural Programming in C++
 
Computer programming questions
Computer programming questionsComputer programming questions
Computer programming questions
 
Programming Paradigms Seminar 1
Programming Paradigms Seminar 1Programming Paradigms Seminar 1
Programming Paradigms Seminar 1
 
Substitutability
SubstitutabilitySubstitutability
Substitutability
 
Implementation
ImplementationImplementation
Implementation
 
Programming topics. syed arslan rizvi
Programming topics. syed arslan rizviProgramming topics. syed arslan rizvi
Programming topics. syed arslan rizvi
 

Similar to A Study Of Statistical Models For Query Translation ：Finding A Good Unit Of Translation

Information retrieval as statistical translation
Information retrieval as statistical translationInformation retrieval as statistical translation
Information retrieval as statistical translationBhavesh Singh
 
ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...
ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...
ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...Lifeng (Aaron) Han
 
Latent Semantic Transliteration using Dirichlet Mixture
Latent Semantic Transliteration using Dirichlet MixtureLatent Semantic Transliteration using Dirichlet Mixture
Latent Semantic Transliteration using Dirichlet MixtureRakuten Group, Inc.
 
Word2vec on the italian language: first experiments
Word2vec on the italian language: first experimentsWord2vec on the italian language: first experiments
Word2vec on the italian language: first experimentsVincenzo Lomonaco
 
Two Level Disambiguation Model for Query Translation
Two Level Disambiguation Model for Query TranslationTwo Level Disambiguation Model for Query Translation
Two Level Disambiguation Model for Query TranslationIJECEIAES
 
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKSTEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKSijdms
 
A survey on parallel corpora alignment
A survey on parallel corpora alignment A survey on parallel corpora alignment
A survey on parallel corpora alignment andrefsantos
 
Pattern-Level Programming with Asteroid
Pattern-Level Programming with AsteroidPattern-Level Programming with Asteroid
Pattern-Level Programming with Asteroidijpla
 
2-Chapter Two-N-gram Language Models.ppt
2-Chapter Two-N-gram Language Models.ppt2-Chapter Two-N-gram Language Models.ppt
2-Chapter Two-N-gram Language Models.pptmilkesa13
 
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKSTEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKSijdms
 
Information extraction for Free Text
Information extraction for Free TextInformation extraction for Free Text
Information extraction for Free Textbutest
 
[Paper Reading] Unsupervised Learning of Sentence Embeddings using Compositi...
[Paper Reading] Unsupervised Learning of Sentence Embeddings using Compositi...[Paper Reading] Unsupervised Learning of Sentence Embeddings using Compositi...
[Paper Reading] Unsupervised Learning of Sentence Embeddings using Compositi...Hiroki Shimanaka
 
EMPLOYING PIVOT LANGUAGE TECHNIQUE THROUGH STATISTICAL AND NEURAL MACHINE TRA...
EMPLOYING PIVOT LANGUAGE TECHNIQUE THROUGH STATISTICAL AND NEURAL MACHINE TRA...EMPLOYING PIVOT LANGUAGE TECHNIQUE THROUGH STATISTICAL AND NEURAL MACHINE TRA...
EMPLOYING PIVOT LANGUAGE TECHNIQUE THROUGH STATISTICAL AND NEURAL MACHINE TRA...ijnlc
 
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPSANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPSIJCSEA Journal
 
Anomaly Detection in Arabic Texts using Ngrams and Self Organizing Maps
Anomaly Detection in Arabic Texts using Ngrams and Self Organizing MapsAnomaly Detection in Arabic Texts using Ngrams and Self Organizing Maps
Anomaly Detection in Arabic Texts using Ngrams and Self Organizing MapsIJCSEA Journal
 
International Journal of Computer Science, Engineering and Applications (IJCSEA)
International Journal of Computer Science, Engineering and Applications (IJCSEA)International Journal of Computer Science, Engineering and Applications (IJCSEA)
International Journal of Computer Science, Engineering and Applications (IJCSEA)IJCSEA Journal
 
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPSANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPSIJCSEA Journal
 
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPSANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPSIJCSEA Journal
 

Similar to A Study Of Statistical Models For Query Translation ：Finding A Good Unit Of Translation (20)

Information retrieval as statistical translation
Information retrieval as statistical translationInformation retrieval as statistical translation
Information retrieval as statistical translation
 
ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...
ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...
ACL-WMT2013.A Description of Tunable Machine Translation Evaluation Systems i...
 
Syntax analysis
Syntax analysisSyntax analysis
Syntax analysis
 
Latent Semantic Transliteration using Dirichlet Mixture
Latent Semantic Transliteration using Dirichlet MixtureLatent Semantic Transliteration using Dirichlet Mixture
Latent Semantic Transliteration using Dirichlet Mixture
 
Word2vec on the italian language: first experiments
Word2vec on the italian language: first experimentsWord2vec on the italian language: first experiments
Word2vec on the italian language: first experiments
 
Ceis 3
Ceis 3Ceis 3
Ceis 3
 
Two Level Disambiguation Model for Query Translation
Two Level Disambiguation Model for Query TranslationTwo Level Disambiguation Model for Query Translation
Two Level Disambiguation Model for Query Translation
 
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKSTEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
 
A survey on parallel corpora alignment
A survey on parallel corpora alignment A survey on parallel corpora alignment
A survey on parallel corpora alignment
 
Pattern-Level Programming with Asteroid
Pattern-Level Programming with AsteroidPattern-Level Programming with Asteroid
Pattern-Level Programming with Asteroid
 
2-Chapter Two-N-gram Language Models.ppt
2-Chapter Two-N-gram Language Models.ppt2-Chapter Two-N-gram Language Models.ppt
2-Chapter Two-N-gram Language Models.ppt
 
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKSTEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
TEXT ADVERTISEMENTS ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
 
Information extraction for Free Text
Information extraction for Free TextInformation extraction for Free Text
Information extraction for Free Text
 
[Paper Reading] Unsupervised Learning of Sentence Embeddings using Compositi...
[Paper Reading] Unsupervised Learning of Sentence Embeddings using Compositi...[Paper Reading] Unsupervised Learning of Sentence Embeddings using Compositi...
[Paper Reading] Unsupervised Learning of Sentence Embeddings using Compositi...
 
EMPLOYING PIVOT LANGUAGE TECHNIQUE THROUGH STATISTICAL AND NEURAL MACHINE TRA...
EMPLOYING PIVOT LANGUAGE TECHNIQUE THROUGH STATISTICAL AND NEURAL MACHINE TRA...EMPLOYING PIVOT LANGUAGE TECHNIQUE THROUGH STATISTICAL AND NEURAL MACHINE TRA...
EMPLOYING PIVOT LANGUAGE TECHNIQUE THROUGH STATISTICAL AND NEURAL MACHINE TRA...
 
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPSANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
 
Anomaly Detection in Arabic Texts using Ngrams and Self Organizing Maps
Anomaly Detection in Arabic Texts using Ngrams and Self Organizing MapsAnomaly Detection in Arabic Texts using Ngrams and Self Organizing Maps
Anomaly Detection in Arabic Texts using Ngrams and Self Organizing Maps
 
International Journal of Computer Science, Engineering and Applications (IJCSEA)
International Journal of Computer Science, Engineering and Applications (IJCSEA)International Journal of Computer Science, Engineering and Applications (IJCSEA)
International Journal of Computer Science, Engineering and Applications (IJCSEA)
 
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPSANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
 
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPSANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
ANOMALY DETECTION IN ARABIC TEXTS USING NGRAMS AND SELF ORGANIZING MAPS
 

A Study Of Statistical Models For Query Translation ：Finding A Good Unit Of Translation

  • 1. A Study of Statistical Models for Query Translation ： Finding a Good Unit of Translation Reporter: Yueng-Sheng Su Jianfeng Gao, Jian-Yun Nie. SIGIR’06, August 6–11, 2006, Seattle, Washington, USA. 05/26/09
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 40.
  • 41.
  • 42.