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1
An explicit statistical model of learning lexical segmentation using multiple cues
In: http://anthology.aclweb.org/W/W14/W14-0505.pdf (2014)
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2
Using Gabmap
In: http://urd.let.rug.nl/nerbonne/papers/UsingGabmap-Leinonen-etal-Lingua-2014.pdf (2014)
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3
A Cognitively Grounded Measure of Pronunciation Distance
In: http://www.let.rug.nl/~gooskens/pdf/publ_PLoS_ONE_2014.pdf (2013)
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4
Measuring Socially Motivated Pronunciation Differences
In: http://urd.let.rug.nl/nerbonne/papers/Measuring-Social-Differences-Pronunciation-2012-Nov-5.pdf (2013)
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5
Quantitative social dialectology: explaining linguistic variation geographically and socially
In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/d8/a3/PLoS_One_2011_Sep_1_6(9)_e23613.tar.gz (2011)
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6
Outline of the Talk
In: http://www.let.rug.nl/~nerbonne/teach/rema-stats-meth-seminar/presentations/Nerbonne-Permutations-2013.pdf (2009)
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7
Multiple sequence alignments in linguistics
In: http://www.martijnwieling.nl/files/Prokic-Wieling-Nerbonne-2009.pdf (2009)
Abstract: In this study we apply and evaluate an iterative pairwise alignment program for producing multiple sequence alignments, ALPHAMALIG (Alonso et al., 2004), us-ing as material the phonetic transcriptions of words used in Bulgarian dialectological research. To evaluate the quality of the multiple alignment, we propose two new methods based on comparing each column in the obtained alignments with the cor-responding column in a set of gold stan-dard alignments. Our results show that the alignments produced by ALPHAMALIG highly correspond with the gold standard alignments, making this algorithm suitable for the automatic generation of multiple string alignments. Multiple string align-ment is particularly interesting for histor-ical reconstruction based on sound corre-spondences. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.555.3605
http://www.martijnwieling.nl/files/Prokic-Wieling-Nerbonne-2009.pdf
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8
Measuring dialect differences
In: http://odur.let.rug.nl/~nerbonne/papers/HSK-Nerbonne-Web-Version2.pdf (2009)
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9
Measuring the Diffusion of Linguistic Change
In: http://www.let.rug.nl/~nerbonne/papers/diffusion-jn-2008.pdf (2009)
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10
The Gershwins celebrated linguistic variation famously in Let’s call the whole
In: http://odur.let.rug.nl/~nerbonne/papers/Nerbonne-Compass-2008.pdf (2008)
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11
Associations among Linguistic Levels
In: http://odur.let.rug.nl/~nerbonne/papers/shn2007lingua.pdf (2008)
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12
Detecting Contact Effects in Pronunciation
In: http://odur.let.rug.nl/~nerbonne/papers/detecting-contact-pronunciation-2008.pdf (2008)
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13
Recognizing groups among dialects
In: http://www.let.rug.nl/~prokic/readings/prokic-nerbonne.pdf (2008)
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14
Measuring the Diffusion of Linguistic Change
In: http://odur.let.rug.nl/~nerbonne/papers/diffusion-jn-2008.pdf (2008)
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15
Phonetic variation in the traditional English dialects: a computational analysis
In: http://urd.let.rug.nl/nerbonne/papers/WielingShackletonNerbonne-2011.pdf (2007)
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16
Dialect pronunciation comparison and spoken word recognition
In: http://www.martijnwieling.nl/files/cohort.pdf (2007)
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17
Detecting syntactic contamination in emigrants. The English of Finnish Australians
In: http://odur.let.rug.nl/~nerbonne/papers/Lauttamus-Nerbonne-Wiersema-2007-SKY.pdf (2007)
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18
Variation in the Aggregate: An Alternative Perspective for Variationist Linguistics
In: http://www.let.rug.nl/~nerbonne/papers/Nerbonne-Aggregating-2007.pdf (2007)
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19
A Quantitative Analysis of Bulgarian Dialect Pronunciation
In: http://odur.let.rug.nl/~nerbonne/papers/bulgarian1-2006.pdf (2007)
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20
Toward a dialectological yardstick
In: http://odur.let.rug.nl/~nerbonne/papers/yardstick.pdf (2007)
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