сотрудник
г. Москва и Московская область, Россия
BISAC LAN016000 Linguistics / Semantics
Проект направлен на решение фундаментальной научной проблемы семантического моделирования, в рамках которого разрабатывается методология автоматической идентификации переводных ссылок (переводных соответствий), а также иерархических, синонимических и ассоциативных ссылок из Интернет-текстов и построения многоязычные ассоциативные иерархические портреты предметной области (МАХПСА), в частности, на автономных необитаемых подводных аппаратах (БПА). Учет многоязычных и разнородных ресурсов позволяет получить более полную картину происходящего в предметной области, выявить источники происхождения идей, скорость и направления их распространения, выявить значимые документы и перспективные направления. Решение проблемы основано на комплексном подходе, сочетающем методы статистики, корпусной лингвистики и распределительной семантики, и реализовано в технологии, предполагающей разработку лингво-статистических механизмов формирования многоязычного ассоциативного иерархического портрета объекта. область, которая представляет собой словарь значимых терминов предметной области, элементы которого организованы в синонимичные серии (синсеты), включая переводные соответствия, а также ассоциативные и иерархические отношения.
Лингво-статистические методы, ассоциативный и иерархический портрет предметной области, многоязычная интегрированная онтология, прогнозирование распространения идей, многоязычный корпус предметной области
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