Models of translational equivalence among words
Computational Linguistics
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
HMM-based word alignment in statistical translation
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Determining recurrent sound correspondences by inducing translation models
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A linear-time algorithm for computing the multinomial stochastic complexity
Information Processing Letters
A new objective function for word alignment
ILP '09 Proceedings of the Workshop on Integer Linear Programming for Natural Langauge Processing
Identifying complex sound correspondences in bilingual wordlists
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Fisher information and stochastic complexity
IEEE Transactions on Information Theory
MDL-based models for transliteration generation
SLSP'13 Proceedings of the First international conference on Statistical Language and Speech Processing
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This paper presents a novel method for aligning etymological data, which models context-sensitive rules governing sound change, and utilizes phonetic features of the sounds. The goal is, for a given corpus of cognate sets, to find the best alignment at the sound level. We introduce an imputation procedure to compare the goodness of the resulting models, as well as the goodness of the data sets. We present evaluations to demonstrate that the new model yields improvements in performance, compared to previously reported models.