24 citations · 56 across the 13 of their papers we have counts for
13 papers
Part of speech and gramset tagging algorithms for unknown words based on morphological dictionaries of the Veps and Karelian languages
Andrew Krizhanovsky, Natalia Krizhanovsky, Irina Novak
This research devoted to the low-resource Veps and Karelian languages. Algorithms for assigning part of speech tags to words and grammatical properties to words are presented in th…
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
Ekaterina Vylomova, Jennifer White, Elizabeth Salesky +25
A broad goal in natural language processing (NLP) is to develop a system that has the capacity to process any natural language. Most systems, however, are developed using data from…
LowResourceEval-2019: a shared task on morphological analysis for low-resource languages
Elena Klyachko, Alexey Sorokin, Natalia Krizhanovskaya +2
The paper describes the results of the first shared task on morphological analysis for the languages of Russia, namely, Evenki, Karelian, Selkup, and Veps. For the languages in que…
Analysis of the quotation corpus of the Russian Wiktionary
A. Smirnov, T. Levashova, A. Karpov +4
The quantitative evaluation of quotations in the Russian Wiktionary was performed using the developed Wiktionary parser. It was found that the number of quotations in the dictionar…
Semi-automatic methods for adding words to the dictionary of VepKar corpus based on inflectional rules extracted from Wiktionary
Natalia Krizhanovsky, Andrew Krizhanovsky
The article describes a technique for using English Wiktionary inflection tables for generating word forms for Veps verbs and nominals in the Open corpus of Veps and Karelian langu…
WSD algorithm based on a new method of vector-word contexts proximity calculation via epsilon-filtration
Alexander Kirillov, Natalia Krizhanovsky, Andrew Krizhanovsky
The problem of word sense disambiguation (WSD) is considered in the article. Given a set of synonyms (synsets) and sentences with these synonyms. It is necessary to select the mean…