The formation of problem domain dictionary
DOI:
https://doi.org/10.15587/1729-4061.2013.18469Keywords:
automated processing of natural language, intelligent systems, algebra of finite predicates, lexicographyAbstract
The currently available methods for automatic generation of terms and descriptions of the compatibility of semantic classes do result in the sufficient quality to completely eliminate manual work of experts. They however can give a first approximation to the required specification and to provide an expert with statistical data for further improvement of this description.
Thus, the development of methods for the automated formation of compatibility terms descriptions is timely, allowing to extract information about the compatibility of text collections, summarize and present it the way that experts can effectively work with. Another problem is taking into account the already formed and also the combinability descriptions existing in dictionaries to improve the effectiveness of automatic parsing.
This paper presents an approach to the formation of a compatibility terms dictionary of the subject area. The basis of the approach is the mathematical formalism of the algebra of finite predicates and predicate operations.
The algebra of predicates and predicate operations allows the to description of the semantic combinability of the two words standing next to each other which is determined by the composition of semantic roles. Between sets of semantic roles of words standing next to each other there is a binary relation which is a subset of the Cartesian product of these sets. The presence or absence of coordination between words is calculated using the comparator identification method.References
- Арефьев, Н. В. Методы построения и использования компьютерных словарей сочетаемости для синтаксических анализаторов русскоязычных текстов [Текст] : автореф. дис. … канд. физико-мат. наук : 05.13.11 / Н. В. Арефьев. – М., 2012. – 22 с.
- Мальковский, М. Г. Семантические ограничения в словаре сочетаемости: эксперименты по разрешению синтаксической неоднозначности [Электронный ресурс] / М. Г. Мальковский, Н. В. Арефьев. – Режим доступа : http://www.sworld.com.ua/ index.php/uk/ technical-sciences-112/informatics-computer-science-and-automation-112/12730-112-530
- Лексическая сочетаемость слов [Электронный ресурс]. – Режим доступа : http://obrazovanie.biniko.com/info_61.php
- Автоматическое формирование базы сочетаемости слов на основе очень большого корпуса текстов [Текст] / Э. С. Клышинский, Н. А. Кочеткова, М. И. Литвинов, В. Ю. Максимов // Компьютерная лингвистика и интеллектуальные технологии: материалы международной конференции «Диалог», 26-30 мая 2010 г., Бекасово. – М.: Изд-во РГГУ, 2010. – 9 (16). – С. 181-185.
- Шаронова, Н. В. Компараторная идентификация лингвистических объектов [Текст] : дис. … док. тех. наук : 05.25.05 / Н. В. Шаронова. – Харьков, 1994. – 271 с.
- Бондаренко, М. Ф. Инструментарий компараторной идентификации [Текст] / М. Ф. Бондаренко, Ю. П. Шабанов-Кушнаренко, Н. В. Шаронова // Бионика интеллекта. – 2010. – № 2 (73). – С. 74-86.
- Шабанов-Кушнаренко, Ю. П. Компараторная идентификация лингвистических объектов [Текст] / Ю.П. Шабанов-Кушнаренко, Н. В. Шаронова. – К.: ИСДО, 1993. – 116 с.
- Шабанов-Кушнаренко, Ю. П. Теория интеллекта: Проблемы и перспективы [Текст] / Ю. П. Шабанов-Кушнаренко. – Х.: Вища шк., 1987. – 158 с.
- Реймерс, Н. Ф. Природопользование: Словарь-справочник [Текст] / Н. Ф. Реймерс. – М.: Мысль, 1990. – 637 с.
- Некос, А. Н. Екологія та неоекологія. Українсько-російський словник-довідник. [Текст] / А. Н. Некос, Н. В. Борисова. – Харків: Вид-во ХНУ ім. В.Н. Каразіна, 2001. – 236 с.
- Arefev, N. V. (2012). Methods of construction and use of computer dictionaries for compatibility parser Russian texts. Moscow, 22.
- Malkovskiy, M. G., Arefev, N. V. [electronic resource] Semantic constraints in the dictionary compatibility: Experiments to resolve syntactic ambiguity. Access mode: http://www.sworld.com.ua/ index.php/uk/ technical-sciences-112/informatics-computer-science-and-automation-112/12730-112-530
- Lexical collocations [electronic resource]. – Mode of access: http://obrazovanie.biniko.com/info_61.php
- Klyishinskiy, E. S., Kochetkova, N. A., Litvinov, M. I., Maksimov, V. Yu. (2010). Automatic creation of database of word based on a very large corpus. Computational linguistics and intelligent technologies. Moscow: RGGU, 9 (16), 181-185.
- Sharonova, N. V. (1990). Comparator identification of linguistic objects. Kharkov, 271.
- Bondarenko, M. F. (2010). Tools of comparator identification. Bionika intellekta, 2 (73), 74-86.
- Shabanov-Kushnarenko, Yu. P. (1993). Comparator identification of linguistic objects. Kiev, USSR: ISDO, 116.
- Shabanov-Kushnarenko, Yu. P. (1987). The theory of intelligence: problems and prospects. Kharkov, USSR: Vischa shk., 158.
- Reymers, N. F. (1990). Nature management: reference dictionary. Moscow, USSR: Myisl, 637.
- Nekos, A. N., Borisova, N. V. (2001). Ecology and Neo. Ukrainian-Russian Dictionary. Kharkov, 236.
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