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Evaluation of online machine translation by nursing users
Ryoko Anazawa1, Hirono Ishikawa, Kiuchi Takahiro
1Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. fwkk0078@mb.infoweb.ne.jp
Computers, Informatics, Nursing : CIN
|July 16, 2013
Summary
Google Translate offers minimally acceptable quality for English-Japanese nursing abstract translation, aiding nurses facing language barriers. Further improvements in machine translation and user training are recommended for professional literature access.
Area of Science:
- Nursing
- Medical Translation
- Computational Linguistics
Background:
- Non-native English speaking nurses encounter language barriers in international nursing literature.
- Online machine translation tools like Google Translate present a potential solution to overcome these barriers.
Purpose of the Study:
- To evaluate the intelligibility and perceived usefulness of English-Japanese translations of nursing abstracts generated by Google Translate.
- To identify factors influencing the quality of machine-translated nursing literature.
Main Methods:
- 250 Japanese nursing faculty members assessed translated abstracts using a validated intelligibility method.
- Evaluations covered structured abstract sections: title, background, aim, method, result, discussion, conclusion, and clinical relevance.
- Respondents provided overall impressions of the translated abstracts' usefulness.
Main Results:
- Google Translate demonstrated minimally acceptable quality for English-Japanese nursing abstract translation.
- Factors such as source text word count and the presence of unidentifiable words significantly impacted translation quality.
- Nurses perceived potential benefits from using Google Translate for accessing professional literature.
Conclusions:
- Machine translation, specifically Google Translate, can assist nurses in accessing international nursing literature despite current quality limitations.
- Continuous improvement of online machine translation systems is necessary.
- Training and education are crucial for nursing professionals to effectively utilize machine translation technologies.
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