Yandex Europe Ag

Yury Grigorievich Zelenkov

Ilya Valentinovich Segalovich

A method of automatic generation of a digital thesaurus, the method comprising: parsing the digital text and determining a first lexical unit and a second lexical unit; for each entry of the first lexical unit: selecting n-number of sequential units adjacent to the first lexical unit; generating a first context parameter for the first lexical unit, the first context parameter comprising an indication of each unit of the n-number of sequential units and a frequency of co-occurrence of each unit with the first lexical unit in the digital text; for each entry of the second lexical: selecting, n-number of sequential units adjacent to the second lexical unit; generating a second context parameter; determining a lexical unit relation parameter for the first lexical unit and the second lexical unit by: an interrelation analysis and an analysis of entry co-occurrence.

Method and system of automatic generation of thesaurus

A method for mapping a source lexical unit in a first language with target lexical unit in a second language, the method comprising: acquiring a source digital text comprising a plurality of source sentences; parsing the plurality of source sentences into source lexical units; generating, for each of the one or more source lexical units a source context parameter; acquiring a target digital text comprising a plurality of target sentences; parsing the plurality of target sentences into target lexical units; generating for each one or more target lexical units, a target context parameter; selecting a first source lexical unit having a first source context parameter; comparing the first source context parameter with a plurality of target context parameters to determine a target context parameter having a lowest difference value; mapping the first source lexical unit with a first target lexical unit associated with the given target context parameter.

Method of and system for mapping a source lexical unit of a first language to a target lexical unit of a second language

There is disclosed a computer-implemented method for generating a summary of a digital text. The method can be executable on a server. The server being coupled to a communication network. Embodiments of the methods disclosed herein generate a summary of the digital text by selecting sentences from the digital text based on a calculated sentence value. The sentence value is calculated by relying on the digital text itself without use of ontology dictionaries. Embodiments of the present method determine the sentence value by firstly breaking the sentence into one or more concept phrases and then determining, for a given sentence of the digital text: (i) a non-contextual value for its concept phrases and (ii) a contextual value for its concept phrases.

Method of and system for processing a text

A server and a method for transcription of a lexical unit from a first alphabet into a second alphabet, the method comprising: acquiring a pair of (i) the lexical unit written in the first alphabet, and (ii) the corresponding transcription of the lexical unit written in the second alphabet, both having been divided into respective segments, such that within the pair, every segment of the lexical unit has a corresponding segment in the transcription of the lexical unit, and such that each lexical unit comprises either a sequence of sequentially alternating consonant segments, or a single vowel segment, or a single consonant segment; defining, for each given segment of the lexical unit, its context; training the server to calculate a theoretical frequency of at least one second alphabet character representing transcription of a particular given segment based on the context of particular given segment of the lexical unit.

Method and system for transcription of a lexical unit from a first alphabet into a second alphabet

A method and a computing device for building a reference system for determining a stress position of a new word form, the method comprising: sorting, in a reverse lexicographic order, a plurality of word forms being marked with a particular stress position; clustering the plurality of sorted word forms into a plurality of clusters, comprises a plurality of terminal clusters, each terminal cluster comprising word forms having both: (i) a same ending being a terminal common ending, and (ii) a same stress position, combination of the terminal common ending and said same stress position being unique; building, using the plurality of terminal clusters, the reference system having a reference to at least one terminal cluster of the plurality of terminal clusters, the at least one terminal cluster comprising an indication of the particular stress position proper to word forms which are included in that respective terminal cluster.

Method and system for automatic determination of stress position in word forms

A computer-implemented method of () and a system () for processing a text stream. The method comprises accessing () the text stream; parsing () the text stream; analyzing () a first collection of words to identify a homonym candidate; generating () a homonym word pattern, the homonym word pattern comprising at least one word of the first collection of words; determining (), for at least one word of the homonym word pattern, a first context element; generating () a homonym context pattern; analyzing () a second collection of words to identify a non-homonym candidate having a non-homonym context pattern at least partially matching the homonym context pattern, the non-homonym candidate being associated with a lexical tag; and assigning () the lexical tag associated with the non-homonym candidate to the homonym candidate.

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Orekhovo-Zuevo, Russia

Yury Grigorievich Zelenkov