Javad Nouri

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We present methods for investigating processes of evolution in a language family by modeling relationships among the observed languages. The models aim to find regularities—regular correspondences in lexical data. We present an algorithm which codes the data using phonetic features of sounds, and learns longrange contextual rules that condition recurrent(More)
This paper presents a method for linking models for aligning linguistic etymological data with models for phylogenetic inference from population genetics. We begin with a large database of genetically related words—sets of cognates—from languages in a language family. We process the cognate sets to obtain a complete alignment of the data. We use the(More)
We describe a computational system for language learning and supporting endangered languages. The platform provides the user an opportunity to improve her competency through active language use. The platform currently works with several endangered Finno-Ugric languages, as well as with Yakut, and Finnish, Swedish, and Russian. This paper describes the(More)
We introduce a family of minimum description length models which explicitly utilizes phonetic features and captures long-range contextual rules that condition recurrent correspondences of sounds within a language family. We also provide an algorithm to learn a model from this family given a corpus of cognates, sets of genetically related words. Finally, we(More)
BACKGROUND Conventional health, safety and environment (HSE) are a widely used approach to enhance availability and efficiency of complex systems. The integrated HSEE system is defined however as integration of conventional HSE with ergonomics approach. The presented HSEE system introduces a unique, effective and systemic mechanism, which integrates the(More)
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