The TALP-UPC machine translation systems for WMT19 news translation task: Pivoting techniques for low resource MT
In this article, we describe the TALP-UPC research group participation in the WMT19 news
translation shared task for Kazakh-English. Given the low amount of parallel training data …
translation shared task for Kazakh-English. Given the low amount of parallel training data …
Efficient low-resource neural machine translation with reread and feedback mechanism
Z Yu, Z Yu, J Guo, Y Huang, Y Wen - ACM Transactions on Asian and …, 2020 - dl.acm.org
How to utilize information sufficiently is a key problem in neural machine translation (NMT),
which is effectively improved in rich-resource NMT by leveraging large-scale bilingual …
which is effectively improved in rich-resource NMT by leveraging large-scale bilingual …
Injection of linguistic knowledge into neural text generation models
N Casas Manzanares - 2020 - upcommons.upc.edu
Language is an organic construct. It emanates from the need for communication and
changes through time, influenced by multiple factors. The resulting language structures are …
changes through time, influenced by multiple factors. The resulting language structures are …
面向神经机器翻译的枢轴方法研究综述.
黎家全， 王丽清， **鹏， 蒋晓敏… - Journal of Computer …, 2022 - search.ebscohost.com
低资源语言的神经机器翻译(neural machine translation, NMT) 一直是机器翻译领域研究的难点
和热点, 基于枢轴的方法为其性能的提升和改进提供了思路. 针对枢轴思想在低资源语言神经 …
和热点, 基于枢轴的方法为其性能的提升和改进提供了思路. 针对枢轴思想在低资源语言神经 …
[CITATION][C] Building a Catalan-Chinese parallel corpus from Wikipedia for use in machine translation
C Zhou - 2022
[CITATION][C] Improving Chinese-Catalan machine translation with Wikipedia parallel corpus
X Liu - 2022
[CITATION][C] Pivot Language Bahasa Melayu Pontianak ke Bahasa Bugis Menggunakan Neural Machine Translation
AD Meilinda, H Sujaini, N Safriadi - JEPIN (Jurnal Edukasi dan Penelitian Informatika)