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1
A Cross-linguistic Database of Children’s Printed Words in Three Slavic Languages
In: http://korpus.juls.savba.sk/attachments/publications/garabik-weslalex.pdf (2007)
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Applied Psycholinguistics 29 (2008), 1–18 Printed in the United States of America DOI:10.1017/S0142716407080095 Preschoolers use partial letter names to select spellings: Evidence from Portuguese
In: http://spell.psychology.wustl.edu/~bkessler/PolloPartial/S0142716407080095a.pdf (2006)
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3
Multilateral comparison and significance testing of the Indo-Uralic question
In: http://www.artsci.wustl.edu/~bkessler/McDonald/paper/Kessler--Multilateral-book.pdf (2006)
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4
from US and Brazilian preschoolers
In: http://spell.psychology.wustl.edu/~bkessler/LetterNameLearnUSBrazil/LetterNameLearnUSBrazil-AP.pdf (2005)
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5
English speakers’ sensitivity to phonotactic patterns
In: http://spell.psychology.wustl.edu/~bkessler/SensPhonotactic/Treiman_et_al_Labphon_2000.pdf (2000)
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6
Automatic detection of text genre
In: http://arxiv.org/pdf/cmp-lg/9707002v1.pdf (1997)
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7
Automatic detection of text genre
In: http://spell.psychology.wustl.edu/~bkessler/ACL1997/ACL1997.pdf (1997)
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8
Automatic Detection of Text Genre
In: ftp://parcftp.xerox.com/pub/qca/genre/paper.acl97.ps.Z (1997)
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9
Automatic Detection of Text Genre
In: http://acl.ldc.upenn.edu/P/P97/P97-1005.pdf (1997)
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10
Automatic Detection of Text Genre
In: http://www.ai.mit.edu/people/jimmylin/papers/Kessler97.pdf (1997)
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11
Computational dialectology in Irish Gaelic
In: http://arxiv.org/pdf/cmp-lg/9503002v1.pdf (1995)
Abstract: Dialect groupings can be discovered objectively and automatically by cluster analysis of phonetic transcriptions such as those found in a linguistic atlas. The first step in the analysis, the computation of linguistic distance between each pair of sites, can be computed as Levenshtein distance between phonetic strings. This correlates closely with the much more laborious technique of determining and counting isoglosses, and is more accurate than the more familiar metric of computing Hamming distance based on whether vocabulary entries match. In the actual clustering step, traditional agglomerative clustering works better than the top-down technique of partitioning around medoids. When agglomerative clustering of phonetic string comparison distances is applied to Gaelic, reasonable dialect boundaries are obtained, corresponding to national and (within Ireland) provincial boundaries. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.269.3845
http://arxiv.org/pdf/cmp-lg/9503002v1.pdf
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12
Reviewed by
In: http://acl.ldc.upenn.edu/J/J01/J01-4008.pdf
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13
Running head: SENSITIVITY TO ORTHOGRAPHIC CONSISTENCY Effects of Orthographic Consistency, Frequency, and Letter Knowledge on Children’s Vowel Spelling Development
In: http://spell.psychology.wustl.edu/CaravolasVSpell/CaravolasVSpell.pdf
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14
The English Lexicon Project (B220) 1
In: http://myweb.unomaha.edu/~mcortese/b220_Balota_English_Lexicon_Project.pdf
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15
Anticipatory Conditioning 1 Running head: ANTICIPATORY CONDITIONING IN READING Anticipatory Conditioning of Spelling-to-Sound Translation
In: http://spell.psychology.wustl.edu/TreimanReadCGMorph/TreimanReadCGMorph.pdf
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16
A New Look 1 Running head: FACTORS THAT AFFECT ORAL WORD READING A New Look at the Factors That Affect Oral Word Reading
In: http://www.artsci.wustl.edu/~bkessler/NewLook/NewLook.pdf
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17
Vowels, syllables, and letter names 1 Running Head: CHILDREN’S SPELLING IN ENGLISH AND PORTUGUESE Vowels, Syllables, and Letter Names: Differences Between Young Children’s Spelling in
In: http://www.artsci.wustl.edu/~bkessler/PolloVSyllLN/PolloVSyllLN.pdf
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18
Word Similarity Metrics and Multilateral Comparison
In: http://spell.psychology.wustl.edu/ACLWordSim/ACLWordSim.pdf
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19
Word Similarity Metrics and Multilateral Comparison
In: http://acl.ldc.upenn.edu/w/w07/W07-1302.pdf
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20
Running head: PHONETIC VOICE KEY BIASES Phonetic Biases in Voice Key Response Time Measurements
In: http://www.artsci.wustl.edu/~bkessler/VK/VK.pdf
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