Machine Translation System for the Industry Domain and Croatian Language
Machine translation is increasingly becoming a hot research topic in information and communication sciences, computer science and computational linguistics, due to the fact that it enables communication and transferring of meaning across different languages. As the Croatian language can be considere...
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| Format: | Article |
| Language: | English |
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University of Zagreb, Faculty of organization and informatics
2020-01-01
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| Series: | Journal of Information and Organizational Sciences |
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| Online Access: | https://hrcak.srce.hr/file/348061 |
| _version_ | 1827282493267509248 |
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| author | Ivan Dunđer |
| author_facet | Ivan Dunđer |
| author_sort | Ivan Dunđer |
| collection | DOAJ |
| description | Machine translation is increasingly becoming a hot research topic in information and communication sciences, computer science and computational linguistics, due to the fact that it enables communication and transferring of meaning across different languages. As the Croatian language can be considered low-resourced in terms of available services and technology, development of new domain-specific machine translation systems is important, especially due to raised interest and needs of industry, academia and everyday users. Machine translation is not perfect, but it is crucial to assure acceptable quality, which is purpose-dependent. In this research, different statistical machine translation systems were built – but one system utilized domain adaptation in particular, with the intention of boosting the output of machine translation. Afterwards, extensive evaluation has been performed – in form of applying several automatic quality metrics and human evaluation with focus on various aspects. Evaluation is done in order to assess the quality of specific machine-translated text. |
| first_indexed | 2024-04-24T09:19:11Z |
| format | Article |
| id | doaj.art-4b95d5a565594568a54d285d732c9783 |
| institution | Directory Open Access Journal |
| issn | 1846-3312 1846-9418 |
| language | English |
| last_indexed | 2024-04-24T09:19:11Z |
| publishDate | 2020-01-01 |
| publisher | University of Zagreb, Faculty of organization and informatics |
| record_format | Article |
| series | Journal of Information and Organizational Sciences |
| spelling | doaj.art-4b95d5a565594568a54d285d732c97832024-04-15T16:16:49ZengUniversity of Zagreb, Faculty of organization and informaticsJournal of Information and Organizational Sciences1846-33121846-94182020-01-01441335010.31341/jios.44.1.2Machine Translation System for the Industry Domain and Croatian LanguageIvan Dunđer0Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, CroatiaMachine translation is increasingly becoming a hot research topic in information and communication sciences, computer science and computational linguistics, due to the fact that it enables communication and transferring of meaning across different languages. As the Croatian language can be considered low-resourced in terms of available services and technology, development of new domain-specific machine translation systems is important, especially due to raised interest and needs of industry, academia and everyday users. Machine translation is not perfect, but it is crucial to assure acceptable quality, which is purpose-dependent. In this research, different statistical machine translation systems were built – but one system utilized domain adaptation in particular, with the intention of boosting the output of machine translation. Afterwards, extensive evaluation has been performed – in form of applying several automatic quality metrics and human evaluation with focus on various aspects. Evaluation is done in order to assess the quality of specific machine-translated text.https://hrcak.srce.hr/file/348061statistical machine translationdomain adaptationautomatic quality metricshuman quality evaluationerror classificationCroatian language |
| spellingShingle | Ivan Dunđer Machine Translation System for the Industry Domain and Croatian Language Journal of Information and Organizational Sciences statistical machine translation domain adaptation automatic quality metrics human quality evaluation error classification Croatian language |
| title | Machine Translation System for the Industry Domain and Croatian Language |
| title_full | Machine Translation System for the Industry Domain and Croatian Language |
| title_fullStr | Machine Translation System for the Industry Domain and Croatian Language |
| title_full_unstemmed | Machine Translation System for the Industry Domain and Croatian Language |
| title_short | Machine Translation System for the Industry Domain and Croatian Language |
| title_sort | machine translation system for the industry domain and croatian language |
| topic | statistical machine translation domain adaptation automatic quality metrics human quality evaluation error classification Croatian language |
| url | https://hrcak.srce.hr/file/348061 |
| work_keys_str_mv | AT ivandunđer machinetranslationsystemfortheindustrydomainandcroatianlanguage |