scholarly journals A Psycholexical Classification of Ukrainian Descriptors of Individual Differences

2018 ◽  
Vol 19 (2) ◽  
pp. 71-78
Author(s):  
Oleg Gorbaniuk ◽  
Andrij Mirowich ◽  
Władysława Leoszko ◽  
Julia Gorbaniuk ◽  
Aleksandra Kordon ◽  
...  

Abstract The aim of the psycholexical study was to classify the terms describing individual differences in the Ukrainian language. Method. To accomplish this objective, we analysed 220,000 entries included in a universal dictionary of Ukrainian and identified 20,024 terms – adjectives, participles, type-nouns, and attribute-nouns – used to describe human characteristics. The identified person-descriptive terms were classified by a team of five trained judges into 13 categories and subcategories. The judges’ taxonomic decisions were tested for validity and interjudge agreement. Results. This procedure yielded lists of Ukrainian personality descriptors, consisting, respectively, of 2,426 adjectives, 2,255 participles, 1,653 attribute-nouns, and 1,474 type-nouns. The analysis of semantic redundancy of terms representing different parts of speech but having the same common morpheme among dispositional descriptors identified a total of 1,634 morphemes that differed in terms of meaning. The analysis identified 212 (22.0% of morphemes) type-nouns that could not be replaced by any different part of speech with the same morpheme to describe the same personality trait. Conclusions. Ukrainian personality lexicon has a comparable or higher diversity of personality-descriptive vocabulary, attested to by the presence of 96% Big Factors markers from international comparative analyses of psycholexical structures of natural languages. The results of the study contribute to the debate on universals in the description of individual differences and constitute the basis for future questionnaire-based studies aimed at identifying the psycholexical structure of the Ukrainian language.

Author(s):  
Lucian Nicolae Vintan ◽  
Daniel Ionel Morariu ◽  
Radu George Cretulescu ◽  
Maria Vintan

In this paper we will present a new approach regarding the documents representation in order to be used in classification and/or clustering algorithms. In our new representation we will start from the classical "bag-of-words" representation but we will augment each word with its correspondent part-of-speech. Thus we will introduce a new concept called hyper-vectors where each document is represented in a hyper-space where each dimension is a different part-of-speech component. For each dimension the document is represented using the Vector Space Model (VSM). In this work we will use only five different parts of speech: noun, verb, adverb, adjective and others. In the hyper-space each dimension has a different weight. To compute the similarity between two documents we have developed a new hyper-cosine formula. Some interesting classification experiments are presented as validation cases.


2020 ◽  
Vol 10 (6) ◽  
pp. 18
Author(s):  
Venera Khisamova ◽  
Liliia Abdullina ◽  
Leila Nurgalieva ◽  
Elmira Khabibullina

This study is undertaken to identify the similarities and differences of classification of homonyms in medical terminology of English, Russian and Tatar languages. In this paper a comparative method was used to identify the common and special in the compared languages. The basis of comparison in the medical terminology of genetically unrelated languages was established. In this study, the method of feature comparison was used, i.e. the phenomenon of homonymy was studied in a comparative aspect. The results of this study contribute to ordering the terms, the selection of the correct, appropriate term when translating medical texts from one language into another. The languages under the consideration have intra-terminological, inter-terminological, inter-system homonymy. Besides, there are homonymic relations between eponyms in all languages. In the medical terminology of the English language, the following groups of homonyms are found: absolute, incomplete, partial (homophones, homographs) homonyms. Incomplete homonyms are divided into lexical and lexical and grammatical, and partial homonyms are divided into lexical, lexical and grammatical, grammatical (homonyms-converse terms). Homophones, in turn, are classified into homophones and near homophones. Homonyms are classified into homonyms of a high degree of homonymity, homonyms of a medium degree of homonymity, homonyms of a low degree of homonymity in Russian medical terminology. In medical terminology of the Tatar language absolute and incomplete homonyms are distinguished. Incomplete homonyms include homoforms that belong to different parts of speech and homographs. Homographs are rare phenomenon in the medical terminology of the Tatar language. Separately, as a special group, homonyms-converse terms are considered. There are three types of functional shift relations in the Tatar language: syntactic, lexical and semantic, the most common of which is syntactic relation. The phenomenon of homonymy affects the Greek-Latin terminological elements, which are international. Comparative analysis of three languages in the matter of homonyms in medical terminology has shown that English and Tatar languages have more similarities than English and Russian ones and Russian and Tatar ones. The English medical terminology is more replete with homonymous acronyms than Russian and Tatar ones.


2017 ◽  
Vol 68 (2) ◽  
pp. 396-403
Author(s):  
Hana Žižková

Abstract Compound adverbs represent an interesting issue in terms of Automatic Morphological Analysis (AMA). The reason is that compound adverbs in Czech are expressions formed by compounding existing words that are different parts of speech without any change in their form. An indicative sign of compound adverbs is that they can always be decomposed again. Compound adverbs may be written as one word but sometimes a multiword form coexists. A word that is originally a different part of speech gains an adverbial meaning and becomes an adverb. This article presents the results of a corpus probe aimed at mapping expressions that are demonstrably compound adverbs and were not recognized by AMA or were incorrectly tagged by AMA as another part of speech. Analysis of data obtained from the Czech National Corpus (ČNK) SYN v3 show that the unrecognized and incorrectly tagged units can be divided into several groups. Based on knowledge of these groups it is possible to refine part of speech tagging by AMA. The corpus probe examined units written in accordance with the current codification as well as substandard units.


2014 ◽  
Vol 519-520 ◽  
pp. 784-787
Author(s):  
Zhi Qiang Wu ◽  
Hong Zhi Yu ◽  
Shu Hui Wan

It’s a basic work for Tibetan information processing to tag the Tibetan parts of speech,the results can be used in machine translation, speech synthesis and so on. By studying the Tibetan language grammar and the classification of Tibetan parts of speech, established the Tibetan parts of speech tagging sets, and tagged the corpus, used the CRFs to solve the problem that automatic tagging of Tibetan parts of speech, the experimental results show that in the closed test set, part-of-speech tagging accuracy is 94.2%, and in the opening set, the accuracy is 91.5%.


Author(s):  
A.B. Ivanova

The article is devoted to the analysis of mechanisms of representation of railway rolling stock in professional jargon through zoomorphic metaphorical image. The purpose of the research is to identify the totality of lexical means of explication of this image in railway slang; to give classification of these means; to define most topical models on the basis of which images "animal" and "railway transport" semantically correlate. The sources of the actual material are the dictionary of railway jargon by D. Zinoviev and railway Internet forums and chats. We found 117 lexemes of different parts of speech, which from different sides directly or indirectly embody the image "animal" in the nomination of rolling stock and form a special semantic field. In the paper the structure of this field is described, the core of which is the nomination of animals ( bull, crocodile, parrot, mare ) and parts of their body ( muzzle, horns, tail ), used for the metaphorical name of the rolling stock and its parts and devices. On the periphery of the field there are lexemes indicating habitats of animals; artifacts, people, actions related to animals ( burrow, stables, reins, rider, milk (v), horseshoe (v) ). The system relations within the given field were found: synonymic, antonymic, derivation, syntagmatic connections between its components.


2018 ◽  
pp. 4-7
Author(s):  
S. I. Zenko

The article raises the problem of classification of the concepts of computer science and informatics studied at secondary school. The efficiency of creation of techniques of training of pupils in these concepts depends on its solution. The author proposes to consider classifications of the concepts of school informatics from four positions: on the cross-subject basis, the content lines of the educational subject "Informatics", the logical and structural interrelations and interactions of the studied concepts, the etymology of foreign-language and translated words in the definition of the concepts of informatics. As a result of the first classification general and special concepts are allocated; the second classification — inter-content and intra-content concepts; the third classification — stable (steady), expanding, key and auxiliary concepts; the fourth classification — concepts-nouns, conceptsverbs, concepts-adjectives and concepts — combinations of parts of speech.


Author(s):  
Yabing Zhang

This article is devoted to the problem of using Russian time-prepositions by foreigners, especially by the Chinese. An analysis of modern literature allows the author to identify the main areas of the work aimed at foreign students’ development of the skills and abilities to correctly build the prepositional combinations and continuously improve the communication skills by means of the Russian language. In this paper, the time-prepositions in the Russian language have been analyzed in detail; some examples of polysemantic use of prepositions, their semantic and stylistic shades alongside with possible errors made by foreign students are presented. The results of the study are to help in developing a system of teaching Russian time-prepositions to a foreign language audience, taking into account their native language, on the basis of the systemic and functional, communicative and activity-centred basis. The role of Russian time-prepositions in constructing word combinations has been identified; the need for foreign students’ close attention to this secondary part of speech has been specified. It has been stated that prepositions are the most dynamic and open type of secondary language units within the quantitative and qualitative composition of which regular changes take place. The research substantiates the need that students should be aware of the function of time-preposition in speech; they are to get acquainted with the main time-prepositions and their meanings, to distinguish prepositions and other homonymous parts of speech as well as to learn stylistic shades of time-prepositions. Some recommendations related to the means of mastering time-prepositions have been given: to target speakers to assimilate modern literary norms and, therefore, to teach them how to choose and use them correctly by means of linguistic keys that are intended to fill the word with true meaning, to give it an organic structure, an inherent form and an easy combinability in the texts and oral speech.


2021 ◽  
pp. 3-29
Author(s):  
Kateryna Horodensʹka ◽  

This study aims at investigating the development of grammatical theory at the Institute of the Ukrainian Language for the last 30 years. The paper summarizes achievements in grammar theory from applying the functional, i.e., semantic and grammatical, approach developed by I.R. Vykhovanetsʹ to differentiating units into word and nonword classes and distinguishing morphological categories of major word classes. This facilitated the establishment of the theoretical basis of functional and categorical morphology. The author analyses studies in formal grammatical, semantic, functional, categorical, deri vational, and anthropocentric syntax that attest to the multidimensional growth of a syntactic theory and main aspects of the Ukrainian word formation on the basis of semantic and categorical syntax and a formant- and stem-based derivatology. Some of the latest multi-pronged processes in word formation reflect dynamics of word formation rules, the replenishment of word formation resources, and the development of the word-formation system of Standard Ukrainian. The solving of a complex set of theoretical issues in the modern Ukrainian word-formation introduced the methodological foundations for the recent normative description of the word formation system of Standard Ukrainian. The article addresses issues in studies on applied grammar determined by the process of glo balization and democratization of the Ukrainian society and the needs of Modern Ukrainian language practice to be met. Particular importance is attached to the grammatical prescriptive norms in the professional use, the actualization of case forms appearing in the passive vocabulary, and the dynamics of morphological and syntactic norms in various functional and stylistic dimensions of Standard Ukrainian. Keywords: functional grammar, functional morphology, functional syntax, categorical grammar, categorical syntax, categorical word formation, classification of parts of speech, morphological categories.


enadakultura ◽  
2021 ◽  
Author(s):  
Tamar Makharoblidze

The question of derivates has been repeatedly raised in the teaching processes of language grammar and general linguistics. This circumstance became the basis for creating this short article. It is well known that a word-form can be changeable or unchangeable, and this fact is determined by the parts of speech. Form-changing words can undergo two types of change: inflectional and derivative. During the inflectional change, the form of the word changes, but the lexical and semantic aspects of the word do not change, i.e. its semantic and content data do not change. A classic example of this type of change is flexion of nouns.Derivation is the formation of a word from another word by the addition of non-inflectional affixes. Derivation can be of two types. The first is lexical derivation, in which the derivative affix produces a word with a different lexical content. A word-form can be another part of speech or the same part of speech but with a different lexical content. The second type of derivation is, first of all, grammatical derivation, when grammatical categories are produced. The grammatical category in general (and a word-form in general as well) includes the unity of morphological and semantical aspects. There is no separate semantics without morphology. Any semantic category and/or content must be conveyed in a specific form, so only a specific form has a specific morphosemantics, which can be produced by the grammatical derivatives. The main difference between the two types of derivation mentioned above (and therefore between the two types of derivatives) is the levels of the language hierarchy. The first type of affixes works at the lexical level of the language, while the second type derivatives produce forms at the morphological and semantic levels. The second type derivatives are inter-level affixes, because they act on two hierarchical levels. Any grammatical category includes specific morphosemantic oppositional forms. Thus, unlike inflectional affixes, the rest of the morphological affixes are all other types of inter-level derivatives. It should be noted that the preverb in Kartvelian languages ​​is the only linguistic unit with all possible functions of affix. DOWNLOADS


Named Entity Recognition is the process wherein named entities which are designators of a sentence are identified. Designators of a sentence are domain specific. The proposed system identifies named entities in Malayalam language belonging to tourism domain which generally includes names of persons, places, organizations, dates etc. The system uses word, part of speech and lexicalized features to find the probability of a word belonging to a named entity category and to do the appropriate classification. Probability is calculated based on supervised machine learning using word and part of speech features present in a tagged training corpus and using certain rules applied based on lexicalized features.


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