CROWD-SOURCING VOCABULARY TEACHING SYSTEMS Russian patent published in 2017 - IPC G06F17/28 G09B19/06 

Abstract RU 2607416 C2

FIELD: linguistics.

SUBSTANCE: invention relates to vocabulary training automation using educational context dictionary and automatic translation system. In crowd-sourcing method of vocabulary teaching all lexical units receive context associated translations, which quality is based on ratings, which are assigned by users. Lexical units, their contexts, as well as other meta-data are stored in database. Each user has personal dictionary, containing words and phrases, which user has met and translated before. Phrases and words are automatically added into personal dictionary together with their context associated translations, selected by user. Context dictionary enables selecting correct translation of word and store it together with context. After creation of personal dictionaries by several users determining number of times of different translations using, selected by users. Context dictionary enables user to add audio, video and graphic images and other meta-data illustrating meaning of word.

EFFECT: technical result is possibility of viewing, selecting and storing of words and phrases translations in certain context.

15 cl, 12 dwg

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Authors

Zagibalov Taras Evgenevich

Abdulnasyrov Ajnur Ravilevich

Odin Aleksej Anatolevich

Dates

2017-01-10Published

2014-09-03Filed