Anže Vavpetič
Biographic Data
| ID | 7245371 |
|---|---|
| NAME | Anže Vavpetič |
| GIVEN NAMES | Anže |
| FAMILY NAME | Vavpetič |
| SIGNATURE | VAVPETIČ A |
| AFFILIATIONS | Jožef Stefan Institute |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
TermEnsembler
This paper describes TermEnsembler, a bilingual term extraction and alignment system utilizing a novel ensemble learning approach to bilingual term alignment. In the proposed system, the processing starts with monolingual term extraction from a language industry standard file type containing aligned English and Slovenian texts. The two separate term lists are then automatically aligned using an ensemble of seven bilingual alignment methods, which…
Erasmus students’ involvement in quality enhancement of Erasmus+ mobility through digital ethnography and ErasmusShouts
Erasmus+ is one of the European Union’s flagship programs which supports short-term international student mobility within Europe as one of its primary purposes. Erasmus students are uniquely well placed to compare educational processes of their home and host institutions, the learning environments and student life conditions. They are so far under-utilized resource of information on quality of educational practices and insights on how to improve …
No prominent works on this page.
Erasmus students’ involvement in quality enhancement of Erasmus+ mobility through digital ethnography and ErasmusShouts
Erasmus+ is one of the European Union’s flagship programs which supports short-term international student mobility within Europe as one of its primary purposes. Erasmus students are uniquely well placed to compare educational processes of their home and host institutions, the learning environments and student life conditions. They are so far under-utilized resource of information on quality of educational practices and insights on how to improve …
TermEnsembler
This paper describes TermEnsembler, a bilingual term extraction and alignment system utilizing a novel ensemble learning approach to bilingual term alignment. In the proposed system, the processing starts with monolingual term extraction from a language industry standard file type containing aligned English and Slovenian texts. The two separate term lists are then automatically aligned using an ensemble of seven bilingual alignment methods, which…
Computer Science (2 works) · Artificial Intelligence (1 work) · Biomedical Text Mining and Ontologies (1 work) · Erasmus (1 work) · Ethnography (1 work) · Higher education (1 work) · Higher Education Governance and Development (1 work) · International Student and Expatriate Challenges (1 work) · Mathematics (1 work) · Mathematics education (1 work)