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Regular version of the site
Article
Automatic Morpheme Segmentation for Russian: Can an Algorithm Replace Experts?

Morozov D., Garipov T., Lyashevskaya O. et al.

Journal of Language and Education. 2024. Vol. 10. No. 4. P. 71-84.

Book chapter
String Similarity Measures for Evaluating the Lemmatisation in Old Church Slavonic

Afanasev I., Lyashevskaya O.

In bk.: Structuring Lexical Data and Digitising Dictionaries: Grammatical Theory, Language Processing and Databases in Historical Linguistics. Leiden; Boston: Brill, 2024. P. 13-35.

Working paper
Exploring the Effectiveness of Methods for Persona Extraction
In press

Konstantin Zaitsev.

arxiv.org. Computer Science. Cornell University, 2024

Ekaterina Ageeva at the EAMT 2015 conference

On 11th - 13th May at the 18th annual conference of the European Association of Machine Translation in Antalya, Turkey, participants from universities across Europe presented papers on improving the quality of statistical translation, using corpus-based technology, translation tools, and evaluating the quality of machine translation. There were two poster sessions on research and projects on various aspects of machine translation.

Ekaterina Ageeva, third year student on the Fundamental and Computational Linguistics programme at the HSE Faculty of Humanities participated in the international conference on machine translation and presented her paper.

I presented a paper about our work on evaluating machine translation which I co-wrote with Mikel Forcada, Juan Antonio Perez-Ortiz and Francis Tyers from the University of Alicante and Tromso University. Our research was based on the project Assimilation evaluation toolkit for Apertium which I worked on at the Google Summer of Code programme.

Ekaterina Ageeva
Third year student