Using Dependency Tree Grammar to Enhance the Reordering Model of Statistical Machine Translation Systems
Publish place: International Journal of Information and Communication Technology Research (IJICT، Vol: 6، Issue: 4
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
View: 192
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ITRC-6-4_007
تاریخ نمایه سازی: 22 فروردین 1401
Abstract:
We propose three novel reordering models for statistical machine translation. These reordering models use dependency tree to improve the translation quality. All reordering models are utilized as features in a log linear framework and therefore guide the decoder to make better decisions about reordering. These reordering models are tested on two English-Persian parallel corpora with different statistics and domains. The BLEU score is improved by ۲.۵ on the first corpus and by ۱.۲ on the other.
Keywords: