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Elicited imitation as an oral proficiency measure with ASR scoring
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In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/409_paper.pdf (2008)
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| 2 |
Formulating Queries for Assessing Clinical Trial Eligibility
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In: http://osm.cs.byu.edu/CS705/readings/nldb06final.pdf (2006)
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| 3 |
with Maximum Entropy Models
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In: http://nlp.cs.byu.edu/techreports/BYUNLP-TR1.pdf (2006)
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| 4 |
Peppering knowledge sources with SALT: Boosting conceptual content for ontology generation
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In: http://www.deg.byu.edu/papers/WS1902DLonsdale.pdf (2002)
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| 5 |
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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| 6 |
Large-Scale Machine Translation: An Interlingua Approach
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In: http://www.mt.cs.cmu.edu/cmt/kant/PostScript/aei94.ps (1994)
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| 7 |
Large-Scale Machine Translation: An Interlingua Approach
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In: http://www.mt.cs.cmu.edu/cmt/kant/PDF/aei94.pdf (1994)
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Abstract:
In this paper we discuss the design and development of an interlingua for a large-scale MT project. We also discuss how the resulting KANT interlingua constrains complexity, supports staged development, evolves in a balanced fashion, and seeks maximal coverage. We address issues such as granularity of the data representation, its specification, the types of information it encodes, and how it supports a modular system architecture. Our experience shows that through a careful, reasoned design and implementation effort, it is possible to achieve multilingual target-language generation for extensive technical domains. Keywords: Natural Language Processing, Knowledge Representation, Practical Applications 1 Introduction Varying degrees of success have been achieved by researchers and developers of machine translation (MT) systems. Automatic machine translation of technical text is possible, if the problem is approached the right way. Systems using a knowledge-based approach are usually c.
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Keyword:
Knowledge Representation; Natural Language Processing; Practical Applications
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URL: http://www.mt.cs.cmu.edu/cmt/kant/PDF/aei94.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.5485
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| 8 |
Extraction D'un Vocabulaire Bilingue: Outils Et Méthodes
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In: http://www.mt.cs.cmu.edu/cmt/kant/PostScript/art-ltt.ps (1994)
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| 9 |
Student achievement and French sentence repetition test scores
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In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/770_Paper.pdf
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| 10 |
Formulating queries for assessing clinical trial eligibility
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In: http://www.deg.byu.edu/papers/nldb06.pdf
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| 11 |
Modeling Russian Verbs of Motion: An Analogical Account
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In: http://csjarchive.cogsci.rpi.edu/Proceedings/2006/docs/p1239.pdf
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| 12 |
Incremental processing and resource usage
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In: http://www.eecs.umich.edu/~soar/sitemaker/docs/pubs/paper259.pdf
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| 13 |
Item Development and Scoring for Japanese Oral Proficiency Testing
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/241_Paper.pdf
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| 14 |
Integrating WordNet with NL-Soar
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In: http://www.seas.smu.edu/~rada/mwnw/papers/WNW-NAACL-111.short.pdf
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| 15 |
Exploring Syllables, Romanization, and Analogy in Names
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In: http://www.fht.byu.edu/prev_workshops/workshop06/abstracts/1-Lonsdale-Romanization.pdf
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| 16 |
Tag Dictionaries Accelerate Manual Annotation
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In: http://www.lrec-conf.org/proceedings/lrec2010/pdf/451_Paper.pdf
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| 17 |
Using Cognitive Semantics to Integrate Perception and Motion in a Behavior-Based Robot
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In: http://csis.pace.edu/robotlab/pubs/LABRS2008.pdf
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| 18 |
Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage
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In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/1203_Paper.pdf
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| 19 |
Working memory’s meager involvement in sentence repetition tests
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In: http://mindmodeling.org/cogsci2012/papers/0372/paper0372.pdf
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| 20 |
Analogical Modeling: An Update
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In: http://linguistics.byu.edu/faculty/eddingtond/amupdate.pdf
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