A Translator's View about Translation Memory and Machine Translation Integration
Bibliographic Data
| ID | 12866140 |
|---|---|
| Authors | Dainora Maumevičienė (Kaunas University of Technology, corresponding author), Aušra Berkmanienė (Kaunas University of Technology) |
| Year | 2013 |
| Volume | 0 |
| Issue | 23 |
| Publication date | 2013-12-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Studies About Languages (JOURNAL) |
| Journal identifiers | ISSN: 1648-2824 • E-ISSN: 2029-7203 |
| Publisher | Kaunas University of Technology (KTU) (PUBLISHER) |
| DOI | 10.5755/j01.sal.0.23.5559 |
| OpenAlex | W1997788753 |
| Language | EN |
| References cited | 1 |
Translation memory (TM) systems have become a key technology to help translators in dealing with a steadily growing demand for translation, and are known to have a positive effect on productivity, quality, and cost of translation. However, certain restrictions of this technology prompt developers of computer assisted translation (CAT) tools to improve and expand the functionality of TM systems. Therefore, machine translation (MT) is being progressively integrated into TM tools. The paper aims at analysing potential advantages of TM and MT integration, discusses the effects of MT on a work routine of professional translators, and presents opinions of translators towards the integration of MT into the process of translation. There are two ways of integrating MT into TM systems: MT systems are included into CAT software packages or translators are provided with a possibility to port their TM tools to commercial or free access on-line MT providers; according to the second scenario, TM systems are complemented with statistical, example-based or rule-based MT technologies. The poor quality of MT output made a lot of professional translators reluctant to use MT; however, the data-driven MT approach is making a difference. There are studies that compare translation speed when post-editing MT suggestions, reviewing repetitions and correcting fuzzy matches from a TM database. Results demonstrate that the difference is not so significant and the MT output when post-edited by a human translator can also reach the desirable level of the quality. Thus, technological competence and post-editing skills are being emphasised as the most significant skills for a professional translator. [...]
Competence (human resources · Evaluation of machine translation · Example-based machine translation · Machine translation · Machine translation software usability · Natural language processing · Process (computing · Programming language · Quality (philosophy · Software engineering · Translation (biology · Computer Science · Natural Language Processing Techniques · Psychology · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |