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1
Reproducibility in Computational Linguistics: Are We Willing to Share?
In: Computational Linguistics, Vol 44, Iss 4, Pp 641-649 (2018) (2018)
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2
Synchronic Patterns of Tuscan Phonetic Variation and Diachronic Change: Evidence from a Dialectometric Study
In: http://urd.let.rug.nl/nerbonne/papers/Montemagni_Wieling_DeJonge_Nerbonne_LLC-2011.pdf (2013)
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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
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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5
Multiple sequence alignments in linguistics
In: http://www.martijnwieling.nl/files/Prokic-Wieling-Nerbonne-2009.pdf (2009)
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6
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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7
Dialect pronunciation comparison and spoken word recognition
In: http://www.martijnwieling.nl/files/cohort.pdf (2007)
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8
An aggregate analysis of pronunciation in the Goeman-Taeldeman-Van Reenen-Project data. Taal en Tongval
In: http://www.let.rug.nl/%7Eheeringa/dialectology/papers/tet06.pdf (2007)
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9
LEXICAL DIFFERENCES BETWEEN TUSCAN DIALECTS AND STANDARD ITALIAN: A SOCIOLINGUISTIC ANALYSIS USING GENERALIZED ADDITIVE MIXED MODELING
In: http://urd.let.rug.nl/nerbonne/papers/Wieling-etal-Language-2013.pdf
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10
Linguistic advergence and divergence in north-western Catalan: A dialectometric investigation of dialect leveling and border effects
In: http://urd.let.rug.nl/nerbonne/papers/Valls-Wieling-Nerbonne-LLC-2013-28(1).pdf
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11
Dialect Pronunciation Comparison and Spoken Word Recognition
In: http://odur.let.rug.nl/~nerbonne/papers/Wieling-Nerbonne-Cohort-2007.pdf
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12
Inducing phonetic distances from dialect variation
In: http://www.clinjournal.org/sites/default/files/Wieling_upd.pdf
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13
Automatically measuring the strength of foreign accents in English
In: http://urd.let.rug.nl/nerbonne/papers/WielingEtAl-Accents-Validating-2013-final1.pdf
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14
Inducing phonetic distances from dialect variation
In: http://urd.let.rug.nl/nerbonne/papers/Wieling-MN-CLIN-final-2011-Nov-15.pdf
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15
SOME FURTHER DIALECTOMETRICAL STEPS
In: http://urd.let.rug.nl/nerbonne/papers/Further-Steps-Preprint-2010.pdf
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16
pronunciation
In: http://urd.let.rug.nl/nerbonne/papers/Wieling-MN-JPhon-2011-Dec-12.pdf
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17
Multiple sequence alignments in linguistics
In: http://odur.let.rug.nl/~nerbonne/papers/prokic-wieling-nerbonne-2009-eacl.pdf
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18
Evaluating the pairwise string alignment of pronunciations
In: http://odur.let.rug.nl/~nerbonne/papers/WielingProkicNerbonne-2009-LaTeCH-SHELT&R.pdf
Abstract: Pairwise string alignment (PSA) is an important general technique for obtaining a measure of similarity between two strings, used e.g., in dialectology, historical linguistics, transliteration, and in evaluating name distinctiveness. The current study focuses on evaluating different PSA methods at the alignment level instead of via the distances it induces. About 3.5 million pairwise alignments of Bulgarian phonetic dialect data are used to compare four algorithms with a manually corrected gold standard. The algorithms evaluated include three variants of the Levenshtein algorithm as well as the Pair Hidden Markov Model. Our results show that while all algorithms perform very well and align around 95 % of all alignments correctly, there are specific qualitative differences in the (mis)alignments of the different algorithms. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.4696
http://odur.let.rug.nl/~nerbonne/papers/WielingProkicNerbonne-2009-LaTeCH-SHELT&R.pdf
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19
Evaluating the pairwise string alignment of pronunciations
In: http://aclweb.org/anthology-new/W/W09/W09-0304.pdf
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20
Multiple sequence alignments in linguistics, in
In: http://aclweb.org/anthology-new/W/W09/W09-0303.pdf
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