212 research outputs found
Evaluating effectiveness of linguistic technologies of knowledge identification in text collections
The possibility of using integral coefficients of recall and precision to evaluate effectiveness of linguistic
technologies of knowledge identification in texts is analyzed in the paper. An approach is based on the method of test collections, which is used for experimental validation of received effectiveness coefficients, and
on methods of mathematical statistics. The problem of maximizing the reliability of sample results in their
propagation on the general population of the tested text collection is studied. The method for determining
the confidence interval for the attribute proportion, which is based on Wilson’s formula, and the method
for determining the required size of the relevant sample under specified relative error and confidence probability, are considered
Evaluating effectiveness of linguistic technologies of knowledge identification in text collections
The possibility of using integral coefficients of recall and precision to evaluate effectiveness of linguistic
technologies of knowledge identification in texts is analyzed in the paper. An approach is based on the method of test collections, which is used for experimental validation of received effectiveness coefficients, and
on methods of mathematical statistics. The problem of maximizing the reliability of sample results in their
propagation on the general population of the tested text collection is studied. The method for determining
the confidence interval for the attribute proportion, which is based on Wilson’s formula, and the method
for determining the required size of the relevant sample under specified relative error and confidence probability, are considered
The logic and linguistic model for automatic extraction of collocation similarity
The article discusses the process of automatic identification of collocation similarity. The semantic analysis is one of the most advanced as well as the most difficult NLP task. The main problem of semantic processing is the determination of polysemy and synonymy of linguistic units. In addition, the task becomes complicated in case of word collocations. The paper suggests a logical and linguistic model for automatic determining semantic similarity between colocations in Ukraine and English languages. The proposed model formalizes semantic equivalence of collocations by means of semantic and grammatical characteristics of collocates. The basic idea of this approach is that morphological, syntactic and semantic characteristics of lexical units are to be taken into account for the identification of collocation similarity. Basic mathematical means of our model are logical-algebraic equations of the finite predicates algebra. Verb-noun and noun-adjective collocations in Ukrainian and English languages consist of words belonged to main parts of speech. These collocations are examined in the model. The model allows extracting semantically equivalent collocations from semi-structured and non-structured texts. Implementations of the model will allow to automatically recognize semantically equivalent collocations. Usage of the model allows increasing the effectiveness of natural language processing tasks such as information extraction, ontology generation, sentiment analysis and some others
Similar Text Fragments Extraction for Identifying Common Wikipedia Communities
Similar text fragments extraction from weakly formalized data is the task of natural language processing and intelligent data analysis and is used for solving the problem of automatic identification of connected knowledge fields. In order to search such common communities in Wikipedia, we propose to use as an additional stage a logical-algebraic model for similar collocations extraction. With Stanford Part-Of-Speech tagger and Stanford Universal Dependencies parser, we identify the grammatical characteristics of collocation words. WithWordNet synsets, we choose their synonyms. Our dataset includes Wikipedia articles from different portals and projects. The experimental results show the frequencies of synonymous text fragments inWikipedia articles that form common information spaces. The number of highly frequented synonymous collocations can obtain an indication of key common up-to-date Wikipedia communities
Communicatively developing technology of speech activation of tatar schools teachers
© 2016 by iSER, International Society of Educational Research.The timeliness of the problem under study is that in conditions of the renewal of the content and system of education the interest to the communicative and development potentials of education in the system of course retraining of teachers who work in national (Tatar) schools is growing. However, actual academic complexes for teachers do not always express the idea of communicatively developing education as a technology, didactic system or model. In the article the model of communicatively developing technology of learning is presented. The technology contains the humanitarian potential and speech activating technologies. The main method used in the study was the pedagogic experiment which permitted us to conduct the experimental verification of communicatively developing approaches in teaching, providing certain level of coherent speech. The results of the experimental work proved that the use of communicatively developing methods in course retraining allows to improve the quality of teachers coherent speech. The main results of the study are: the content development of the communicatively developing program of Russian coherent speech for teachers attending extension courses, and also the structure and content definition of diagnostic studies of Tatar schools teachers coherent speech. The article materials may be used on extension courses for teachers and in the system of university studies for future teaches
Realization of sociocultural approach in teaching of Russian language in primary school
© 2016 by iSER, International Society of Educational Research. The importance of the problem under study is due to the realization of socio-cultural approach in teaching of Russian language in primary school allows to solve problems of multicultural education necessary in modern society successfully. However, in Russian linguodidactics the theme is not well-developed; concrete means, forms and methods of the socio-cultural aspect’s realization in teaching of primary school students are not determined. In this regard this article aims to determine effective methodic means and conditions of socio-cultural aspect realization in teaching of primary school children during the lessons of Russian language. The main method of the research was pedagogic experiment in which participated more than 300 4th form students of the Republic of Tatarstan. The results demonstrated in the article prove the efficiency of the presented means while working with cultural concepts on lessons of Russian in lower grades; structures of Russian lessons based on similar concepts of different languages; recommendations for project activities organization among junior students which promote getting socio-cultural knowledge. The article is addressed to primary school teachers, students and everyone dealing with questions of language teaching and education
A First Attempt to Detect Misinformation in Russia-Ukraine War News through Text Similarity
The paper focuses on misinformation detection in established global news outlets' texts covering significant and well-known events of the Russian-Ukraine war. We created the RUWA dataset and applied unsupervised ML approaches as the first dimension of misinformation detection.
We consider several different aspects of semantic similarity identification of the articles from various regions in order to confirm the hypothesis that if the news covering the same event from the outlets of various regions over the world are similar enough it means they reflect each other or, instead, if they are completely divergent it means some of them are likely not trustworthy
Language education in the regions of Russia and Canada: A comparative analysis
© 2016 Slavina.This article is focused on the language policy comparative analysis necessity in the sphere of education in the regions of Russia and Canada. The aim of the work is to identify the management risks and to use the studied regions positive experience meeting the challenges facing the policy and language planning in the Russian Federation regions. The comparative description method of the language support programs, the way for the implementation at the various institutional levels are the basis for the analysis in this article. The results showed that “The Tatar State Program”, developed by the Republic of Tatarstan, encompasses all contexts of language management such as regulatory and legal support; organizational and structural support; coordination and arranging of the scientific scholars, maintain resources for language training at all levels in the educational system; national- language environment for the family; public opinion institutions; resource provision. “Plan 2013” is a roadmap for the French language development as the sate language of Canada, and it is the tied more to the field of education, which trends to the modal of “bi or multilingual Canadian”. The results presented in the article can be useful as the recommendations to implement the regional language development in the educational sphere. The comparative analysis of the language policy maintained by Russian and North American regions seems relevant as it enables to identify risks of language management and use the positive experience of the studied regions to solve the tasks of language policy and language planning in the regions of the Russian Federation
Кафедра безопасности жизнедеятельности и управления природными и техногенными рисками
Chair of safety of vital activity and control of the natural and technogeny risks founded the Order of Peoples' Friendship University Rector № 489 of July 19, 2005, in order to improve methodological and scientific work in agriculture, engineering and physics and mathematics faculty in disciplines related to the Integrated Safety Education institutions.Кафедра безопасности жизнедеятельности и управления природными и техногенными рисками образована приказом Ректора РУДН № 489 от 19 июля 2005 г. в целях совершенствования учебно-методической и научной работы на аграрном, инженерном и физико-математическом факультетах по дисциплинам, связанным с комплексной безопасностью образовательного учреждения
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