Unsupervised Quality Estimation Model for English to German Translation and Its Application in Extensive Supervised Evaluation
المؤلفون المشاركون
Wong, Derek F.
Chao, Lidia S.
Lu, Yi
Han, Aaron L.-F.
He, Liangye
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-04-28
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
The conventional MT evaluation methods tend to calculate the similarity between hypothesis translations offered by automatic translation systems and reference translations offered by professional translators.
There are several weaknesses in existing evaluation metrics.
Firstly, the designed incomprehensive factors result in language-bias problem, which means they perform well on some special language pairs but weak on other language pairs.
Secondly, they tend to use no linguistic features or too many linguistic features, of which no usage of linguistic feature draws a lot of criticism from the linguists and too many linguistic features make the model weak in repeatability.
Thirdly, the employed reference translations are very expensive and sometimes not available in the practice.
In this paper, the authors propose an unsupervised MT evaluation metric using universal part-of-speech tagset without relying on reference translations.
The authors also explore the performances of the designed metric on traditional supervised evaluation tasks.
Both the supervised and unsupervised experiments show that the designed methods yield higher correlation scores with human judgments.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Han, Aaron L.-F.& Wong, Derek F.& Chao, Lidia S.& He, Liangye& Lu, Yi. 2014. Unsupervised Quality Estimation Model for English to German Translation and Its Application in Extensive Supervised Evaluation. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050948
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Han, Aaron L.-F.…[et al.]. Unsupervised Quality Estimation Model for English to German Translation and Its Application in Extensive Supervised Evaluation. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1050948
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Han, Aaron L.-F.& Wong, Derek F.& Chao, Lidia S.& He, Liangye& Lu, Yi. Unsupervised Quality Estimation Model for English to German Translation and Its Application in Extensive Supervised Evaluation. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050948
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1050948
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر