Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms for language reconstruction
Algorithms for language reconstruction
SigMorPhon '07 Proceedings of Ninth Meeting of the ACL Special Interest Group in Computational Morphology and Phonology
Evaluating the pairwise string alignment of pronunciations
LaTeCH-SHELT&R '09 Proceedings of the EACL 2009 Workshop on Language Technology and Resources for Cultural Heritage, Social Sciences, Humanities, and Education
TextGraphs-4 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing
TextGraphs-5 Proceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing
Computer Speech and Language
SCA: phonetic alignment based on sound classes
ESSLLI'10 Proceedings of the 2010 international conference on New Directions in Logic, Language and Computation
LexStat: automatic detection of cognates in multilingual wordlists
EACL 2012 Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH
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In this study we apply and evaluate an iterative pairwise alignment program for producing multiple sequence alignments, ALPHAMALIG (Alonso et al., 2004), using 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 corresponding column in a set of gold standard alignments. Our results show that the alignments produced by ALPHAMALIG correspond well with the gold standard alignments, making this algorithm suitable for the automatic generation of multiple string alignments. Multiple string alignment is particularly interesting for historical reconstruction based on sound correspondences.