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Query Expansion and Machine Translation for Robust Cross-Lingual Information Retrieval
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In: http://www.mt-archive.info/NTCIR-2008-Lao.pdf (2008)
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JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/51.pdf (2007)
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JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
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In: http://cs.stanford.edu/people/mengqiu/publication/ntcir06.pdf (2007)
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JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
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In: http://www.mt-archive.info/NTCIR-2007-Mitamura.pdf (2007)
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JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
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In: http://www.cs.cmu.edu/~jko/paper/NTCIR6-CLQA_3-11-07_submitted.pdf (2007)
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Robust Speech Dialog Interface for Car Telematics Service
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In: http://www.lti.cs.cmu.edu/Research/CAMMIA/ccnc04.pdf (2004)
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A Spoken Dialog Corpus for Car Telematics Services
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In: http://www.lti.cs.cmu.edu/Research/CAMMIA/FullXPaper_214.pdf (2003)
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Abstract:
Spoken corpora provide a critical resource for research, development and evaluation of spoken dialogue systems. This paper describes a spoken dialog corpus used in the design of CAMMIA (Conversational Agent for Multimedia Mobile Information Access), which employs a novel dialog management system that allows users to switch dialog tasks flexibly. The corpus for car telematics services was collected from 137 male and 113 female speakers. The age distribution of speakers was balanced in the five age brackets of 20's, 30's, 40's, 50's, and 60's. Analysis of the dialogs gathered reveals that the average number of dialog tasks per speaker is 5.0. The most frequent tasks in the corpus focus on traffic information, such as route guidance and traffic congestion, followed by restaurant guidance and sightseeing information. It is also shown that to cover 90 % of the tasks in the corpus, the dialog system must handle at most six most frequent tasks. Analysis of speaker utterances shows that the vocabulary size is approximately 5,000 words. These results are used to develop and evaluate ASR as well as dialog scenarios. 1.
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URL: http://www.lti.cs.cmu.edu/Research/CAMMIA/FullXPaper_214.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.188
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Pronominal Anaphora Resolution in the KANTOO Multilingual Machine Translation System
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In: http://www.lti.cs.cmu.edu/Research/Kant/PostScript/tmi02-anaphora-camera.ps (2002)
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Pronominal Anaphora Resolution in the KANTOO Multilingual Machine Translation System
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In: http://www.lti.cs.cmu.edu/Research/Kant/PDF/tmi02-anaphora-camera.pdf (2002)
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Challenges in Adapting an Interlingua for Bidirectional English-Italian Translation
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In: http://www.lti.cs.cmu.edu/Research/Kant/PostScript/amta2000_italian.ps (2000)
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Multiple Strategies for Automatic Disambiguation in Technical Translation
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In: http://www.mt.cs.cmu.edu/cmt/kant/tmi-99-submitted.ps (1999)
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Controlled Language for Multilingual Document Production: Experience with Caterpillar Technical English
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In: http://www.mt.cs.cmu.edu/cmt/kant/PostScript/claw98ck.ps (1998)
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A Real-Time Mt System For Translating Broadcast Captions
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In: http://www.mt.cs.cmu.edu/cmt/kant/PDF/mts6.pdf (1997)
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A Real-Time Mt System For Translating Broadcast Captions
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In: http://www.mt.cs.cmu.edu/cmt/kant/PostScript/mts6.ps (1997)
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Acquisition of Large Lexicons for Practical Knowledge-Based MT
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In: http://www.mt.cs.cmu.edu/cmt/kant/PostScript/mtj-special-lex-paper.ps (1994)
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Automated Corpus Analysis and the Acquisition of Large, Multi-Lingual Knowledge Bases for MT
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Challenges in Adapting an Interlingua for Bidirectional English-Italian Translation
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In: http://www.cs.cmu.edu/~violetta/AMTA_2000.pdf
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Query Expansion and Machine Translation for Robust Cross-Lingual Information Retrieval
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings7/pdf/NTCIR7/C1/IR4QA/05-NTCIR7-IR4QA-LaoN.pdf
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CAMMIA − A CONTEXT-AWARE SPOKEN DIALOG SYSTEM FOR MOBILE ENVIRONMENTS
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In: http://www.cs.cmu.edu/~jko/paper/ASRU05.pdf
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Complex Cross-lingual Question Answering as Sequential Classification and Multi-Document Summarization Task
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings7/pdf/NTCIR7/C1/CCLQA/03-NTCIR7-CCLQA-ShimaH.pdf
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