This page is highly outdated and is no longer updated. Scientific Conference Papers Nakov S. Automatic Identification of False Friends in Parallel Corpora: Statistical and Semantic Approach. Serdica Journal of Computing, volume 3, pp. 133-158, ISSN 1312-6555, Sofia, Bulgaria, 2009 (in English) PDF file Nakov S., Nakov P., Paskaleva E. Unsupervised Extraction of False Friends
Today I granted to the community (under MIT license) the source code of the most interesting algorithms designed for my PhD thesis (implemented in C#): MMEDR – algorithm for measuring weighted orthographic similarity between Bulgarian and Russian words taking into account some linguistically motivated Bulgarian-Russian correspondences (current supports Bulgarian and Russian only) SemSim – algorithm
As part of my PhD research I attended the RANLP 2007 conference in Borovets, Bulgaria (Recent Advances in Natural Language Processing – 2007) to present two scientific papers and a novel algorithm for measuring semantic similarity between words by searching Google and analyzing the local contexts comming for the returned page excerpts. Improved Word Alignments
In the last year I am actively conducting research in computational linguistics and natural language processing. My PhD thesis concerns identification of cognates and false friends between Bulgarian and Russian. In short, false friends are pairs of words in two languages that sound similar but differ in their meaning. Identification of false friends is related
