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21
Cross-language access to recorded speech in the MALACH project
In: http://www.umiacs.umd.edu/users/bonnie/Publications/Attic/Oard2002a.pdf (2002)
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22
Comparing User-assisted and Automatic Query
In: http://www.cs.umd.edu/Library/TRs/CS-TR-4453/CS-TR-4453.pdf (2002)
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23
Signal Boosting for Translingual Topic Tracking: Document Expansion and n-best Translation
In: http://lamp.cfar.umd.edu/Media/Publications/Papers/LAMP_049/LAMP_049.ps (2002)
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24
Signal boosting for translingual topic tracking: Document Expansion . . .
In: http://www.glue.umd.edu/~oard/pdf/tdtbook02.pdf (2002)
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25
CLEF Experiments at Maryland: Statistical stemming and backoff translation
In: http://www.clis.umd.edu/dlrg/filter/papers/clef1.ps (2001)
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26
CLEF experiments at Maryland: Statistical stemming and backo translation
In: http://terpconnect.umd.edu/~oard/pdf/clef1.pdf (2001)
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27
NTCIR-2 ECIR experiments at Maryland: Comparing structured queries and balanced translation
In: http://www.enee.umd.edu/~oard/pdf/ntcir01.pdf (2001)
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28
Evaluating Interactive Cross-Language Information Retrieval: Document selection
In: http://www.clis.umd.edu/dlrg/filter/papers/clef2.ps (2001)
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29
The CLEF 2003 Interactive Track
In: http://www.glue.umd.edu/~oard/papers/iclef03overview.ps (2001)
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30
NTCIR-2 ECIR experiments at Maryland: Comparing structured queries and balanced translation
In: http://www.glue.umd.edu/~dlrg/filter/papers/ntcir2.pdf (2001)
Abstract: Pirkola’s structured queries have been shown to perform well for word-based cross-language information retrieval in European languages, but in monolingual Chinese retrieval experiments it is often found that character bigrams perform as well as, and sometimes better than, automatically segmented words. During the Mandarin-English Information (MEI) project at the Johns Hopkins Summer 2000 Workshop, Pirkola’s structured queries were compared with an alternative technique known as balanced translation. The results suggested that balanced translation coupled with post-translation character bigram resegmentation could outperform Pirkola’s word-based technique. The NTCIR-2 English/Chinese Information Retrieval (ECIR) evaluation provided the opportunity to replicate this experiment on a far larger collection. The results show that on the ECIR collection, Pirkola’s structured queries outperform balanced translation, even when post-translation character bigram resegmentation was used. This paper contrasts the MEI results with Maryland’s ECIR experiments and identifies some possible causes for the observed differences.
URL: http://www.glue.umd.edu/~dlrg/filter/papers/ntcir2.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.3721
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31
Comparison of Word-Based and Syllable-Based Retrieval for Tibetan
In: http://www.glue.umd.edu/~oard/pdf/iral00b.pdf (2000)
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32
Comparison of Word-Based and Syllable-Based Retrieval for Tibetan
In: http://www.clis.umd.edu/dlrg/filter/papers/iral00b.ps (2000)
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33
CLEF Experiments at the University of Maryland: Statistical stemming and backoff translation strategies
In: http://www.clis.umd.edu/dlrg/filter/papers/clef.ps (2000)
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34
CLEF experiments at the University of Maryland: Statistical stemming and backoff translation strategies
In: http://www.iei.pi.cnr.it/DELOS/CLEF/oard-pap.pdf (2000)
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35
TREC-8 Experiments at Maryland: CLIR, QA and Routing
In: http://www.clis.umd.edu/dlrg/filter/papers/trec8.ps (2000)
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36
Mandarin-English Information (MEI)
In: http://csmart.iis.sinica.edu.tw/~whm/publish/papers/mei-tdt3.ps (2000)
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37
Translingual Topic Tracking with PRISE
In: http://www.umiacs.umd.edu/~gina/cv/papers/TDT3_2000/tdt3.ps (2000)
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38
Translingual Topic Tracking: Applying Lessons from the MEI Project
In: http://www.clis.umd.edu/dlrg/filter/papers/tdt2000.ps (2000)
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39
Mandarin-English Information (MEI): Investigating Translingual Speech Retrieval
In: http://www.clis.umd.edu/dlrg/filter/papers/meinaacl.ps (2000)
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40
Structured Translation for Cross-Language Information Retrieval
In: http://www.clis.umd.edu/dlrg/filter/papers/sigir00.ps.gz (2000)
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