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1
Multi-Source Neural Model for Machine Translation of Agglutinative Language
In: Future Internet ; Volume 12 ; Issue 6 (2020)
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2
A High Efficient Biological Language Model for Predicting Protein–Protein Interactions
In: Cells ; Volume 8 ; Issue 2 (2019)
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3
Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages
In: Information ; Volume 11 ; Issue 1 (2019)
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4
Constructing Uyghur Commonsense Knowledge Base by Knowledge Projection
In: Applied Sciences ; Volume 9 ; Issue 16 (2019)
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5
The ingredients of comparison: The semantics of the excessive construction in Japanese
In: Semantics and Pragmatics, Vol 8, Iss 0, Pp 1-38 (2015) (2015)
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6
Machine Learning Paradigms for Speech Recognition: An Overview
Li Deng; Xiao Li. - 2013
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7
Sequence Clustering and Labeling for Unsupervised Query Intent Discovery
In: http://www.cs.utoronto.ca/%7Ejcheung/papers/wsdm2012.pdf (2012)
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8
Understanding the semantic structure of noun phrase queries
In: http://research.microsoft.com/pubs/130815/acl.pdf (2010)
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9
Semi-supervised learning of semantic classes for query . . .
In: http://research.microsoft.com/pubs/101154/fp0894-wang-webpost.pdf (2009)
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10
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Nicolae, Dan L.; Meng, Xiao-Li; Kong, Augustine. - : Institute of Mathematical Statistics, 2008
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11
The Vocal Joystick data collection effort and vowel corpus
In: http://ssli.ee.washington.edu/people/bilmes/mypapers/VJ_ICSLP_2006_v8.pdf (2006)
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12
The Vocal Joystick: A voice-based humancomputer interface for individuals with motor impairments
In: https://www.ee.washington.edu/techsite/papers/documents/UWEETR-2005-0007.pdf (2005)
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13
The Vocal Joystick Demo at UIST05: A Voice-Based Human-Computer Interface
In: http://ssli.ee.washington.edu/vj/files/UIST-demo-abstract.pdf (2005)
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14
Algorithms for data-driven ASR parameter quantization
In: http://ssli.ee.washington.edu/people/bilmes/mypapers/quan-algo-csl-sdarticle.pdf (2005)
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15
The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments
In: http://ssli.ee.washington.edu/people/bilmes/mypapers/uist05.pdf (2005)
Abstract: We describe the technical details behind a novel voicebased human-computer interface designed to enable individuals with motor impairments to use vocal parameters for both discrete and continuous control tasks. Since discrete spoken commands are not ideally suited to such tasks, our methodology exploits a large set of continuous acoustic-phonetic parameters like pitch, loudness, vowel quality, etc. Their selection is optimized with respect to automatic recognizability, communication bandwidth, learnability, suitability, and ease of use. These parameters are extracted continually in real time, transformed via adaptation and acceleration, and converted into continuous control signals. 1
URL: http://ssli.ee.washington.edu/people/bilmes/mypapers/uist05.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.76.115
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16
Algorithms for Data-Driven ASR Parameter Quantization
In: http://ssli.ee.washington.edu/people/karim/papers/quan-algorithms.pdf (2003)
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17
A Phrase Table Filtering Model Based on Binary Classification for Uyghur-Chinese Machine Translation
In: http://www.jcomputers.us/vol9/jcp0912-02.pdf
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18
General Terms
In: http://dub.washington.edu/pubs/assets2006/assets71-harada.pdf
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19
LEXICON MODELING FOR QUERY UNDERSTANDING
In: http://groups.csail.mit.edu/sls/publications/2011/Liu_ICASSP2011.pdf
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20
Understanding the semantic structure of noun phrase queries. ACL’10
In: http://aclweb.org/anthology-new/P/P10/P10-1136.pdf
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