Špela Vintar
Biographic Data
| ID | 6546098 |
|---|---|
| NAME | Špela Vintar |
| GIVEN NAMES | Špela |
| FAMILY NAME | Vintar |
| SIGNATURE | VINTAR Š |
| AFFILIATIONS | Department of Translation Studies, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia |
| ORCID | 0000-0003-1934-0200 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
The anatomy of specialized knowledge
We explore specialized knowledge and aim to show that expert conceptual spaces differ from those of non-experts. This rather broad research question is addressed from different perspectives: first we collect free associations to selected stimulus terms from the domain of karstology from experts and non-experts, demonstrating that the underlying knowledge affects the associative inventory and that the overlap between both groups is low. Next, we l…
Framing karstology
We describe the creation of a knowledge base in the field of karstology using the frame-based approach. Apart from providing a new multilingual resource using manually annotated definitions as the source of structured information, the main focus is on exploring text mining methods to identify targeted knowledge structures in specialised corpora. The first stage of this process is the design of a domain model and its implementation in a definition…
A bird's eye view of lexical creativity in original vs. translated Slovene fiction
This paper addresses lexical creativity and applies corpus-based methods to, firstly, identify potentially creative lexemes and, secondly, compare translations into Slovene from different source languages (English, German, French, and Italian) with texts originally written in Slovene. The primary resource for our work is the Spook corpus of translated and original contemporary literary texts in Slovene. We attempt to capture lexical innovations b…
Bilingual term recognition revisited
The paper describes LUIZ, a bilingual term recognition system that has been developed for the Slovene-English language pair. The system is a hybrid term extractor using morphosyntactic patterns and statistical ranking to propose domain-specific expressions for each of the two languages, whereupon translation equivalents between the languages are identified using the innovative bag-of-equivalents approach. This simple but effective method is based…
No prominent works on this page.
Bilingual term recognition revisited
The paper describes LUIZ, a bilingual term recognition system that has been developed for the Slovene-English language pair. The system is a hybrid term extractor using morphosyntactic patterns and statistical ranking to propose domain-specific expressions for each of the two languages, whereupon translation equivalents between the languages are identified using the innovative bag-of-equivalents approach. This simple but effective method is based…
A bird's eye view of lexical creativity in original vs. translated Slovene fiction
This paper addresses lexical creativity and applies corpus-based methods to, firstly, identify potentially creative lexemes and, secondly, compare translations into Slovene from different source languages (English, German, French, and Italian) with texts originally written in Slovene. The primary resource for our work is the Spook corpus of translated and original contemporary literary texts in Slovene. We attempt to capture lexical innovations b…
Framing karstology
We describe the creation of a knowledge base in the field of karstology using the frame-based approach. Apart from providing a new multilingual resource using manually annotated definitions as the source of structured information, the main focus is on exploring text mining methods to identify targeted knowledge structures in specialised corpora. The first stage of this process is the design of a domain model and its implementation in a definition…
The anatomy of specialized knowledge
We explore specialized knowledge and aim to show that expert conceptual spaces differ from those of non-experts. This rather broad research question is addressed from different perspectives: first we collect free associations to selected stimulus terms from the domain of karstology from experts and non-experts, demonstrating that the underlying knowledge affects the associative inventory and that the overlap between both groups is low. Next, we l…
Artificial Intelligence (3 works) · Computer Science (3 works) · Natural language processing (3 works) · Natural Language Processing Techniques (3 works) · Lexicography and Language Studies (2 works) · Linguistics (2 works) · Mathematics (2 works) · Psychology (2 works) · Annotation (1 work) · Associative property (1 work)