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News
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.
May 15, 2026
‘All My Time Is Devoted to My Dissertation
Ilya Venediktov graduated from the Master’s programme at the HSE Tikhonov Moscow Institute of Electronics and Mathematics through the combined Master’s–PhD track and is currently studying at the HSE Doctoral School of Engineering Sciences. At present, he is undertaking a long-term research internship at the University of Science and Technology of China in Hefei, where he is preparing his dissertation. In this interview, he explains how an internship differs from an academic mobility programme, discusses his research topic, and describes the daily life of a Russian doctoral student in China.
May 15, 2026
‘What Matters Is Not What You Study, but Who You Study with
Katerina Koloskova began studying Arabic expecting to give it up after a year—now she cannot imagine her life without it. In an interview for the Young Scientists of HSE University project, she spoke about two translated books, an expedition to Socotra, and her love for Bethlehem.

 

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Proceedings of the 4th Biennial International Workshop on Balto-Slavic Natural Language Processing

Association for Computational Linguistics, 2013.
Academic editor: Pivovarova Lidia, J. Piskorski, H. Tanev, R. Yangarber
Chapters
Improving English-Russian sentence alignment through POS tagging and Damerau-Levenshtein distance
Kutuzov A. B., , in: Proceedings of the 4th Biennial International Workshop on Balto-Slavic Natural Language Processing.: Association for Computational Linguistics, 2013. P. 63–68.
The present paper introduces approach to improve English-Russian sentence alignment, based on POS-tagging of automatically aligned (by HunAlign) source and target texts. The initial hypothesis is tested on a corpus of bitexts. Sequences of POS tags for each sentence (exactly, nouns, adjectives, verbs and pronouns) are processed as “words” and Damerau-Levenshtein distance between them is ...
Added: September 5, 2013
Research target: Philology and Linguistics
Priority areas: humanitarian IT and mathematics
Language: English
Keywords: corpus linguistics
Proceedings of the 4th Biennial International Workshop on Balto-Slavic Natural Language Processing
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