RusNLP: Yudina M. V.

Space-separated query words: ?One main thing: this is not a full-text word search. It is based on the principle of distributional semantics: having a query vector compiled from the query words, we use cosine distance to find the nearest texts in a bilingual vector space — this is how we search for papers that are close seamantically, regardless of the language and the presence of specific words. If you want to find papers that contain specific words in the title, use the metadata search below.

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Paper title	Paper author	Affiliation	Conference	Year	Tasks
Semi-Automatic Integration Of A New Language Into A Multilingual Nlp Model: The Case Of Japanese	Yudina M. V. Garaschuk R. V. Petrova M. A. Druzhkina A. A.	ABBYY, Moscow, Russia	Dialogue	2018	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Statistical Machine Translation With Linguistic Language Model	Yudina M. V. Zuev K. A. Indenbom E. M.	ABBYY, Moscow, Russia	Dialogue	2013	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Automatic Vocabulary Positioning In A Thesaurus	Yudina M. V. Indenbom E. M. Likhonosov A.	ABBYY, Moscow, Russia	Dialogue	2019	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов