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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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| 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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Abstract:
This paper discusses the application of a language modeling approach to perform Romanization of Arabic-script names. Romanization involves taking a word (in this case a name) and rendering it into the Roman alphabet, the script used for the English language (among many others). Prior work in Romanizing names has involved a wide range of approaches involving variable combinations of linguistic, statistical, corpus-based, lexical, and computational methods (Lonsdale, 2005). Romanization of personal names is inherently a human issue that must also take into consideration language structure (of at least the source and target languages), cultural context, and orthographic conventions. This talk reports on recent work to predict and score possible English Romanizations of names (given names and surnames) from Arabic script. The investigation was carried out using analogical modeling (Skousen et al., 2002), a machine learning approach that has been widely applied to model language use at the phonological, morphological, and lexical levels. The system is exemplar-based and finds symbolic structural analogies between prior feature vectors and similarly vectorized queries. The raw sponsor-supplied data included several thousand names and their Romanizations. We mention interesting variants in both the source language orthography and in the corresponding English Romanizations. We then discuss our development of an automatic procedure for labeling the original data using a finite-state transducer. Once the labeled instances were collected and manipulated to create a training set, the system was run and results collected. Sample scored inputs and outputs include the following: "ﻆﻓﺎﺣ"
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.210.5752
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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