Algorithms for language reconstruction
Algorithms for language reconstruction
A Novel Approach to Detect and Correct Highlighted Face Region in Color Image
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Measuring language divergence by intra-lexical comparison
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Evaluation of several phonetic similarity algorithms on the task of cognate identification
LD '06 Proceedings of the Workshop on Linguistic Distances
Evaluation of string distance algorithms for dialectology
LD '06 Proceedings of the Workshop on Linguistic Distances
Study of some distance measures for language and encoding identification
LD '06 Proceedings of the Workshop on Linguistic Distances
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
On the role of NLP in linguistics
NLPLING '10 Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground
Drive-by language identification: a byproduct of applied prototype semantics
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
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Quantitative measurement of inter-language distance is a useful technique for studying diachronic and synchronic relations between languages. Such measures have been used successfully for purposes like deriving language taxonomies and language reconstruction, but they have mostly been applied to handcrafted word lists. Can we instead use corpus based measures for comparative study of languages? In this paper we try to answer this question. We use three corpus based measures and present the results obtained from them and show how these results relate to linguistic and historical knowledge. We argue that the answer is yes and that such studies can provide or validate linguistic and computational insights.