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The Pennsylvania State University CiteSeerX Archives (74)
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Hits 41 – 60 of 74
41
Unsupervised Extraction of Recurring Words from Infant-Directed Speech
Fergus R. Mcinnes
;
Sharon J. Goldwater
In: http://www.cstr.inf.ed.ac.uk/downloads/publications/2011/mcinnes_cogsci2011.pdf
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42
Unsupervised Extraction of Recurring Words from Infant-Directed Speech
Fergus R. Mcinnes
;
Sharon J. Goldwater
In: http://homepages.inf.ed.ac.uk/sgwater/papers/cogsci11_wordextract.pdf
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43
Generality for Multi-language of Word Segmentation Method Using Inductive Learning
Zhongjian Wang
;
Kenji Araki
;
Koji Tochinai
In: http://www.afnlp.org/archives/pacling2001/pdf/wang-z.pdf
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44
Which is More Suitable for Chinese Word Segmentation, the Generative Model or the Discriminative One? F∗
Kun Wang
;
Chengqing Zong
;
Keh-yih Su
In: http://www.nlpr.ia.ac.cn/cip/zongpublications/2009/2009 paclic23-827-834-wang kun.pdf
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45
RESEARCH ARTICLE OPEN ACCESS Extract the Punjabi Word from Machine Printed Document Images
Gaurav Singla
;
Dr. Parmod Kumar
In: http://www.ijera.com/papers/Vol3_issue5/BJ35343348.pdf
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46
Segmentation of Printed Text in Devanagari Script and Gurmukhi Script Vijay Kumar ECD, Deptt.
Iit Roorkee
;
Pankaj K. Sengar
In: http://www.ijcaonline.org/volume3/number8/pxc3871058.pdf
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47
A Word-Finding Automaton for Chinese Sentence Tokenization
Hong-I Ng
;
Kim-teng Lua
In: http://cslp.comp.nus.edu.sg/luakt/paper/SUB01.ps
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48
Line and Word Segmentation of . . .
G. Louloudis
;
B. Gatos
;
I. Pratikakis
...
In: http://www.iit.demokritos.gr/~bgat/cr1115.pdf
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49
Which is More Suitable for Chinese Word Segmentation, the Generative Model or the Discriminative One? F∗
Kun Wang A
;
Chengqing Zong A
;
Keh-yih Su B
In: http://www.aclweb.org/anthology-new/Y/Y09/Y09-2047.pdf
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50
Comparing Different Criteria for Vietnamese Word Segmentation
Quy T. Nguyen
;
Ngan L. T
;
Nguyen Y Miyao
In: http://www.aclweb.org/anthology/W/W12/W12-5005.pdf
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51
A Pragmatic Chinese Word Segmentation Approach Based on Mixing Models 1
Wei Jiang
;
Yi Guan
;
Xiao-long Wang
In: http://www.aclclp.org.tw/clclp/v11n4/v11n4a5.pdf
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52
Strategies of Processing Japanese Names and Character Variants in Traditional Chinese Text
Chuan-jie Lin
;
Jia-cheng Zhan
;
Yen-heng Chen
...
In: http://wing.comp.nus.edu.sg/~antho/O/O12/O12-4004.pdf
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53
Using Heuristics Based Approach for Segmentation and Recognition of Printed Arabic Characters
Ihab Zaqout
In: http://www.sersc.org/journals/IJAST/vol49/2.pdf
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54
Chinese Word Auto-Confirmation System using a Hybrid Approach Abstract
Jia-lin Tsai
;
Cheng-lung Sung
;
Wen-lian Hsu
In: http://www.iis.sinica.edu.tw/IASL/webpdf/paper-2003-Chinese_Word_Auto-Confirmation_System_using_a_Hybrid_Approach.pdf
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55
Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems
Mark Johnson
;
Emmanuel Dupoux
In: http://www.lscp.net/persons/dupoux/papers/Ludusan_VJGCJD_2014_Evaluation_toolbox_term_discovery.LREC.pdf
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56
© The Association for Computational Linguistics and Chinese Language Processing Chinese Word Segmentation as Character Tagging
Nianwen Xue
In: http://www.aclclp.org.tw/clclp/v8n1/v8n1a2.pdf
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57
Ó The Association for Computational Linguistics and Chinese Language Processing
Nianwen Xue
In: http://verbs.colorado.edu/~xuen/publications/clclp03.xue.pdf
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58
Storage and Retrieval]: Content Analysis and Indexing – Linguistic processing.
Xin-jing Wang
In: http://www2007.org/posters/poster923.pdf
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59
Speech- and sound-segmentation in dyslexia: evidence for a multiple-level cortical impairment
T. Kujala
;
J. Halmetoja
;
P. Alku
...
In: http://neuroscience.aecom.yu.edu/labs/sussmanlab/Pubs/Kujala_dyslexia.pdf
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60
It’s
Lawrence Phillips
;
Lisa Pearl
In: http://www.socsci.uci.edu/~lpearl/papers/PhillipsPearl2014_ReasonableErrorsWordSegCogSci.pdf
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