Lexd: A Finite-State Lexicon Compiler for Non-Suffixational Morphologies

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October 14, 2026

At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage

Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.

October 12, 2026

Road Injuries Leading Cause of Death Among Men Aged 10 to 39

Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

October 8, 2026

HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club

The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

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Lexd: A Finite-State Lexicon Compiler for Non-Suffixational Morphologies

P. 133–146.

Swanson D.

This paper presents lexd, a lexicon compiler for languages with non-suffixational morphology, which is intended to be faster and easier to use than existing solutions while also being compatible with other tools. We perform a case-study for Chukchi, comparing against a hand-optimised analyser written in lexc, and find that while lexd is easier to use, performance remains an obstacle to its use at production level. We also compare performance between lexd and hfst-lexc for three analysers still in the prototype phase, finding that lexd is at least as fast, sometimes faster, to compile; we conclude it is a reasonable choice for prototyping new analysers. Future work will explore how to move lexd performance toward production-grade.

Language: English

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Helsinki: University of Helsinki, 2021.

A biscriptual morphological transducer for Crimean Tatar

Tyers F. M., Washington J., Kavitskaya D. et al., , in: Proceedings of the 3rd Workshop on the Use of Computational Methods in the Study of Endangered Languages Volume 1 (Papers).: Honolulu: Association for Computational Linguistics, 2019. P. 74–80.

This paper describes a weighted finite-state morphological transducer for Crimean Tatar able to analyse and generate in both Latin and Cyrillic orthographies. This transducer was developed by a team including a community member and language expert, a field linguist who works with the community, a Turkologist with computational linguistics expertise, and an experienced computational linguist with Turkic expertise. Dealing with two orthographic systems in the same ...

Added: April 20, 2021