نتایج جستجو برای: neural google translation
تعداد نتایج: 476523 فیلتر نتایج به سال:
This study aims to determine teachers' perceptions of the use Google Translate as a translation tool. The problem this is explain perception towards uses qualitative descriptive research method. data Questionnaire and Interview. subject teachers at Hikmatul Fadhillah there are 23 teachers. results showed that can get quickly easily from translate. Almost all realize translate tool could not be ...
Improving neural machine translation (NMT) models using the back-translations of monolingual target data (synthetic parallel data) is currently state-of-the-art approach for training improved systems. The quality backward system - which trained on available and used back-translation has been shown in many studies to affect performance final NMT model. In low resource conditions, usually not eno...
Tensor2Tensor is a library for deep learning models that is well-suited for neural machine translation and includes the reference implementation of the state-of-the-art Transformer model. 1 Neural Machine Translation Background Machine translation using deep neural networks achieved great success with sequence-tosequence models (Sutskever et al., 2014; Bahdanau et al., 2014; Cho et al., 2014) t...
This dissertation reports on the crowd-based large-scale English-Basque machine translation evaluation campaign, Ebaluatoia. This initiative aimed to compare system quality for five machine translation systems: two statistical systems, a rulebased system and a hybrid system developed within the IXA group, and an external system, Google Translate. We have established a ranking of the systems und...
This paper describes the neural and phrase-based machine translation systems submitted by CUNI to English-Czech News Translation Task of WMT17. We experiment with synthetic data for training and try several system combination techniques, both neural and phrase-based. Our primary submission CU-CHIMERA ends up being phrase-based backbone which incorporates neural and deep-syntactic candidate tran...
We propose to enhance the RNN decoder in a neural machine translator (NMT) with external memory, as a natural but powerful extension to the state in the decoding RNN. This memory-enhanced RNN decoder is called MEMDEC. At each time during decoding, MEMDEC will read from this memory and write to this memory once, both with content-based addressing. Unlike the unbounded memory in previous work(Bah...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید