Automatic determination of Persian verb stems: formal vs. neural network rules
Автор: Piotrowski Rajmund G., Lukanin Artem V.
Журнал: Вестник Южно-Уральского государственного университета. Серия: Лингвистика @vestnik-susu-linguistics
Рубрика: Грамматика и прикладная лингвистика
Статья в выпуске: 2 (135), 2009 года.
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The paper presents two approaches for automatic generation of present stems out of past stems of Persian verbs. Described Persian Verb Conjugator based on frame approach use formal rules and exceptions lexicon. Proposed neural network finds hidden regularities in stem generation and does not require a separate exceptions lexicon.
Artificial neural network, frame, computational morphology
Короткий адрес: https://sciup.org/147153673
IDR: 147153673