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Article

Тематические модели в задаче извлечения однословных терминов

Программная инженерия. 2014. № 3. С. 34-40.
М.А. Нокель, Н.В. Лукашевич

The paper describes the results of an experimental study of statistical topic models applied to the task of automatic single-word term extraction. The English part of the Europarl parallel corpus from the socio-political domain and the Russian articles taken from online banking magazines were used as target text collections. The experiments demonstrate that topic information can improve the quality of single-word term extraction regardless of the subject area and the target language.