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A Character Level Based and Word Level Based Approach for Chinese-Vietnamese Machine Translation
المؤلفون المشاركون
Nguyen, Hien T.
Tran, Phuoc
Dinh, Dien
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-06-29
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Chinese and Vietnamese have the same isolated language; that is, the words are not delimited by spaces.
In machine translation, word segmentation is often done first when translating from Chinese or Vietnamese into different languages (typically English) and vice versa.
However, it is a matter for consideration that words may or may not be segmented when translating between two languages in which spaces are not used between words, such as Chinese and Vietnamese.
Since Chinese-Vietnamese is a low-resource language pair, the sparse data problem is evident in the translation system of this language pair.
Therefore, while translating, whether it should be segmented or not becomes more important.
In this paper, we propose a new method for translating Chinese to Vietnamese based on a combination of the advantages of character level and word level translation.
In addition, a hybrid approach that combines statistics and rules is used to translate on the word level.
And at the character level, a statistical translation is used.
The experimental results showed that our method improved the performance of machine translation over that of character or word level translation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tran, Phuoc& Dinh, Dien& Nguyen, Hien T.. 2016. A Character Level Based and Word Level Based Approach for Chinese-Vietnamese Machine Translation. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099829
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tran, Phuoc…[et al.]. A Character Level Based and Word Level Based Approach for Chinese-Vietnamese Machine Translation. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1099829
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tran, Phuoc& Dinh, Dien& Nguyen, Hien T.. A Character Level Based and Word Level Based Approach for Chinese-Vietnamese Machine Translation. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099829
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099829
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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