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Annotating discourse markers in spontaneous speech corpora on an example for the Slovenian
Darinka Verdonik, Matej Rojc, Marko Stabej, 2007, izvirni znanstveni članek

Opis: Speech-to-speech translation technology has difficulties processing elements of spontaneity in conversation. We propose a discourse marker attribute in speech corpora to help overcome some of these problems. There have already been some attempts to annotate discourse markers in speech corpora. However, as there is no consistency on what expressions count as discourse markers, we have to reconsider how to set a framework for annotating, and, in order to better understand what we gain by introducing a discourse marker category, we have to analyse their characteristics and functions in discourse. This is especially important for languages such as Slovenian where no or little research on the topic of discourse markers has been carried out. The aims of this paper are to present a scheme for annotating discourse markers based on the analysis of a corpus of telephone conversations in the tourism domain in the Slovenian language, and to give some additional arguments based on the characteristics and functions of discourse markers that confirm their special status in conversation.
Ključne besede: discourse markers, speech corpora, annotating, conversation, discourse analysis, speech-to-speech translation, spontaneous speech, Slovenian language
Objavljeno: 31.05.2012; Ogledov: 1247; Prenosov: 29
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English for Specific Purposes - Students of Nursing Bridging the Gap between Theory and Practice
Sofia Ha Vela, 2016, diplomsko delo

Opis: Theoretical framework: Mastering a foreign language is a necessary component in the pursuit of a successful nursing career. Needs analysis identifies the purposes of learning, the best teaching methods, and the possible problems in implementing the language program. Purpose: This thesis explored the academic and professional needs of the English language for nursing students at the Faculty of Health Sciences in Maribor and for health care employees within the region in order to build a bridge between theory and practice. Methodology: The quantitative method of research was applied and a survey questionnaire was used as an instrument to collect data. Questions included in the survey were mostly of the closed type. Microsoft Word and Microsoft Excel were used to analyze, examine, and edit the acquired information. Results: It was determined that the learning needs of the students should focus on verbal communication and listening comprehension and less on grammar. More emphasis should be placed on conversational English, as both the student and employee groups felt that this was the most efficient method for learning. Conclusion: The necessary information is now available to make improvements to the English language courses at the Faculty of Health Sciences in Maribor to better meet the needs of future health care professionals. Ultimately, this can improve communication between nurses and patients in a foreign language and increase the quality of care.
Ključne besede: English for Specific Purposes (ESP), student nurse, foreign language, needs analysis, health care workers, communication.
Objavljeno: 12.05.2016; Ogledov: 776; Prenosov: 37
.pdf Celotno besedilo (2,22 MB)

Key word analysis of discourses in Slovene speech
Iztok Kosem, Darinka Verdonik, 2012, izvirni znanstveni članek

Opis: One of the aspects of speech that remains under-researched is the internal variety of speech, i. e. the differences and similarities between different types of speech. The paper aims to contribute to filling this gap in research by making a comparison between different discourses of Slovene spontaneous speech, focusing on the use of vocabulary. The key word analysis (Scott 1997), conducted on a million-word corpus of spoken Slovene, was used to identify lexical items and groups of lexical items typical of a particular spoken discourse, or common to different types of spoken discourse. The results indicate that the presence or absence of a particular word class in the key word list can be a good indicator of a type of spoken discourse, or discourses.
Ključne besede: corpus analysis, media discourse, private discourse, official discourse, spoken language, Slovene, key words
Objavljeno: 17.05.2017; Ogledov: 513; Prenosov: 58
.pdf Celotno besedilo (142,91 KB)
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Ontology driven development of domain-specific languages
Ines Čeh, Matej Črepinšek, Tomaž Kosar, Marjan Mernik, 2011, izvirni znanstveni članek

Opis: Domain-specific languages (DSLs) are computer (programming, modeling, specification) languages devoted to solving problems in a specific domain. Thedevelopment of a DSL includes the following phases: decision, analysis, design, implementation, testing, deployment, and maintenance. The least-known and least examined are analysis and design. Although various formal methodologies exist, domain analysis is still done informally most of the time. A common reason why formal methodologies are not used as often as they could be is that they are very demanding. Instead of developing a new, less complex methodology, we propose that domain analysis could be replaced with a previously existing analysis in another form. A particularly suitable form is the use of ontologies. This paper focuses on ontology-based domain analysis and how it can be incorporated into the DSL design phase. We will present the preliminary results of the Ontology2DSL framework, which can be used to help transform ontology to a DSL grammar incorporating concepts from a domain.
Ključne besede: domain specific language, domain analysis, ontology
Objavljeno: 06.07.2017; Ogledov: 658; Prenosov: 380
.pdf Celotno besedilo (607,21 KB)
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Robust clustering of languages across Wikipedia growth
Kristina Ban, Matjaž Perc, Zoran Levnajić, 2017, izvirni znanstveni članek

Opis: Wikipedia is the largest existing knowledge repository that is growing on a genuine crowdsourcing support. While the English Wikipedia is the most extensive and the most researched one with over 5 million articles, comparatively little is known about the behaviour and growth of the remaining 283 smaller Wikipedias, the smallest of which, Afar, has only one article. Here, we use a subset of these data, consisting of 14 962 different articles, each of which exists in 26 different languages, from Arabic to Ukrainian. We study the growth of Wikipedias in these languages over a time span of 15 years. We show that, while an average article follows a random path from one language to another, there exist six well-defined clusters of Wikipedias that share common growth patterns. The make-up of these clusters is remarkably robust against the method used for their determination, as we verify via four different clustering methods. Interestingly, the identified Wikipedia clusters have little correlation with language families and groups. Rather, the growth of Wikipedia across different languages is governed by different factors, ranging from similarities in culture to information literacy.
Ključne besede: Wikipedia, language, growth dynamics, data analysis, clustering
Objavljeno: 13.11.2017; Ogledov: 472; Prenosov: 251
.pdf Celotno besedilo (1004,06 KB)
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Implementation of the scheduling domain description model
Alenka Baggia, Robert Leskovar, Miroljub Kljajić, 2008, izvirni znanstveni članek

Opis: This paper presents the problem of auniform scheduling domain description. It was established that the algorithm used for scheduling is general, disregarding the type of scheduling domain. On the basis of five different scheduling domains, a general description model was developed. The research is focused on the programming application of the resource scheduling model, presented as a UML class diagram. Diverse meta-languages for the model description were considered. Of these XML, an EAV model and object oriented languages have shown to be the most effective. Even though Java is not widely used as a description language, it has proved effective as a meta-language for the description of the extensible scheduling model.
Ključne besede: scheduling, domain description, description language, object oriented analysis
Objavljeno: 30.11.2017; Ogledov: 356; Prenosov: 217
.pdf Celotno besedilo (424,31 KB)
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Language of Appraisal in Book Reviews: A Case Study
Katja Časar, 2020, magistrsko delo

Opis: This master’s thesis presents an analysis of appraisal in the case of ten book reviews. Their selection is based on several criteria that make them representative of this text type. The selected texts evaluate novels, novellas and short stories that were ranked top 300 according to the Open Syllabus Project 2.0 online data base. This means that they fall into the category of the most often assigned books in educational institutions. The authors of the selected texts are editors, journalists and writers, and there is an even number of male and female reviewers. The purpose of the study is the appraisal analysis of the contemporary English language; therefore, only the recently published texts were selected. The main methodology used in this master’s thesis is the appraisal theory developed by James Martin and Peter White (Martin and White). This theory evolved in the systemic functional linguistics, and it relies on the theoretical concepts of Michael Halliday (Halliday). The appraisal analysis was conducted with help of the analytical tool Catma 5.0, which enables annotation of texts, their analysis and the visualization of data. The results of the research show that the most frequently used attitudinal resources are the expressions of appreciation. Therefore, the evaluation of the story and everything associated with it is in the foreground of the book reviews. The analysis of the selected texts reveals that evaluation is mostly explicit, meaning that the reader is directly invited to engage with the book. The findings indicate that the attitudinal resources are graded more according to intensity and quantity and less according to prototypicality and marginality. This conclusion draws attention to the variety of lexical and grammatical structures in the selected texts that are assumed to be characteristic of this text type in general. The results also show that the reviewers do not include many external sources into the text, which consequently narrows down the dialogistic space and excludes alternative views and attitudes. The appraisal analysis points toward the text-structural and semantic characteristics of book reviews in general. The structure of the selected texts consists of the following elements: information about the author and the book, the plot summary and evaluation of these elements, which are often intertwined. Some reviews also include personal accounts, book details and/or numeric ratings. The most significant semantic characteristic of evaluation expressed in the selected book reviews is the critique of the Western oppressor. The reviewers judge crimes against humanity and question Western perspectives. They also imply the complicity of the readers because they are viewed as members of the Western identity. Additionally, the results of the analysis show that the book reviews are contextual and intertextual text types, which include various means for the realization of appraisal. A vast spectrum of lexical and grammatical structures makes book reviews an interesting research topic with many possibilities for further research.
Ključne besede: evaluative language, systemic functional linguistics, appraisal theory, appraisal analysis, book review.
Objavljeno: 23.07.2020; Ogledov: 90; Prenosov: 16
.pdf Celotno besedilo (2,65 MB)

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