التفاصيل البيبلوغرافية
| العنوان: |
Syntax-based data augmentation for Hungarian-English machine translation |
| المؤلفون: |
Nagy, Attila, Nanys, Patrick, Konrád, Balázs Frey, Bial, Bence, Ács, Judit |
| سنة النشر: |
2022 |
| المجموعة: |
Computer Science |
| مصطلحات موضوعية: |
Computer Science - Computation and Language, Computer Science - Machine Learning |
| الوصف: |
We train Transformer-based neural machine translation models for Hungarian-English and English-Hungarian using the Hunglish2 corpus. Our best models achieve a BLEU score of 40.0 on HungarianEnglish and 33.4 on English-Hungarian. Furthermore, we present results on an ongoing work about syntax-based augmentation for neural machine translation. Both our code and models are publicly available. |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2201.06876 |
| رقم الانضمام: |
edsarx.2201.06876 |
| قاعدة البيانات: |
arXiv |