The main problem the present project addresses is the development of an integrated approach to diachronically oriented study of the main sociocultural values based on semiotic oppositions: culture / nature; materialistic / spiritual; joy / grief; health / illness; beauty / deformity, which involves the development of linguocognitive and linguoculturological methods on the material of fine arts’ and media texts based on the identification of verbal and non-verbal markers of value dominants what contributes to the formation of a postmodernist model of the world examined in the veine of new cultural values and anti-values emergence. The working hypothesis of the project is that the study of lingual and discursive reflexes of the changes in values of the modern society, made with the help of corpus data on the material of the European languages, will reveal the main features of the modern world conceptual system based on the common for many ethnic groups (at least European) systems of values and anti-values. The goal of the project might be put as working out of an algorithm for analyzing the process of changing of axiological orientations of a society, which will be carried out on the material of fiction and media texts on the grounds of a corpus-based approach to the processing language data. The relevance of such a research is due to the lack of systemic studies of this kind both in domestic linguistics and abroad: so far there are no studies within which an attempt is made to investigate changes in the axiosphere of modern society on the material of many European languages practicing the corpus approach to processing cultural and speech data and highlightening both global and national-specific values inherent for this or that linguoculture. The study will be anthropocentrically oriented, as well as a set of neolinguistic approaches to processing lexical, phraseological and grammatical innovations in media (which will be considered in linguocognitive, linguo cultural, linguopragmatic, discursive and suggestive aspects) would be exercised. Predicted results might significantly affect the empowerment of human self-reflection in the context of identifying axiological attitudes that speakers both intentionally and unwittingly broadcast in their daily communicative practices (many of them are being formed just by media and fiction texts). This is extremely important in the context of the informational wars, when there is a need to increase the level of mass media texts’ critical perception, the last very often appear to be an instrument of political propaganda.

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The article describes functional features of the syntactic module of computer-based Ukrainian grammar AGAT. This is a linguistic type of computer-aided syntactic analysis, which provides full information about syntactic units and categories, in particular, predicativity, coordinate and subordinate clauses, the categories of subject and predicate etc. The developed linguistic software provides syntactic analysis of a whole sentence in the form of a dependency tree and indicates the types of syntactic relations and links. The AGAT-syntax task is to identify all varieties of compatibility – predicative, subordinate, and coordinate – of each word in the text. The grammatical characteristics of the phrase directly depend on which part of the language its keyword belongs to. The lexical and grammatical nature of the word determines its compatibility to the other words. Accordingly, phrases can be divided into substantive, adjective, pronouns, numeral, verbal and adverbial. Computer sub-grammars of valencies of the said parts of the language are built by us on a single principle: a lexema is indicated, preposition that participates in government and a case of a substantive word form in the shape of a two-letter code. In theory, according to their composition words combinations (phrases) are divided into simple, complex and combined. Dependency tree is built from two elements – nodes and connections. Nodes are wordforms and connections are relationships between the main element (“master”) and dependent element (“slave”). It enables to describe a configuration, a form, external parameters of a sentence but this is not sufficient to describe a sentence structure. Thus, the syntactic analysis has two levels: the first one attributes to each binary pair a type of syntactic relationships on the level of morphological way of expression of a “master”; the second level attributes to the connection a type of syntactic relationships, which include: subjective, objective, attributive, adverbial, completive and appositive modifying.. In such a way, the cycle of automated syntactic analysis of Ukrainian texts is completed by determining the syntactic word-combination, identifying a type of syntactic link and a type of relationship. It provides full range of characteristics that can be used for systemic study of semantic and syntactic problems. Keywords: automated syntactic analysis, dependency tree, syntactic relations, syntactic links.

The purpose of this study is to construct an automatic syntactic analysis (ASA) and, as a result, to compile a dictionary of models of multicomponent complex sentences for studying the fectures of the linear structure of Ukrainian text. The process includes two-stages: the first stage is an automatic syntactic analysis of the hierarchical type which results in building of a dependency tree (DT), in the second stage, the sentence structure information is automatically extracted from the obtained graph. ASA is a package of operations performed with a string of morphological information (the result of AMA work) representing the incoming text for determination of syntactic relations between text units. The outgoing text for the ACA is a string of information reduced after the AMA to wordforms. We have studied features of the linear structure of 2000 Ukrainian language sentences in journalistic genre (selection of 52000 words use). Based on the obtained results, we have constructed the real models of the syntactic structure of sentences, in which the relations between simple clauses were presented. All grammatical situations of the linear context were possible manifestations of models in the text. Based on that data, the algorithm for the automatic generation of a complex sentence model was created. These models are linear syntax grammar. All types of syntactic connection between the main and subordinate clauses are recorded algorithmically. Thus, it is possible to build the interpretations of the linear structure of the Ukrainian language sentence almost not using lexical-semantic information. The theoretical value of the paper is in extension of our knowledge about the structure of the syntactic level of the language and the variety of mechanisms functioning at that level. The applied value, is first of all, in creation of the dictionary of compatibility of compound (coordinated) and complex (subordinated) sentences, and in the possibility of constructing requests to the Ukrainian language Corpus in order to mine from the text definite models sentences, creating own dictionaries of authors and styles.

The article views linguistic aspects of semantic markup of the Ukrainian Corpus as the fourth stage of presenting information about Corpus units. The markup is based on taxonomic classification of the Russian Corpus but with extra modifica- tion. There was developed the software tools for online work based on materials of frequency dictionary of journalistic style with a total volume of 40,000 lexemes compiled from the sampling of 16 Million word forms of Ukrainian texts.