Life Is Short, Train It Less: Neural Machine Tibetan-Chinese Translation Based on mRASP and Dataset Enhancement

Creator:

HaoYonNyiRin

Publisher:

Spr

Host:

Visit

Tasks

machine translation

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mining https://www.springernature.com/gp/researchers/text-and-data-mining

Similar

Research on Sentiment Analysis of Tibetan Short Text Based on Dual-channel Hybrid Neural NetworkIs it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic ReviewsMachine Translation with Neural Networks Based on a TransformerResearch on Low Resource Neural Machine Translation Based on Non-autoregressive ModelHybrid Optimization Algorithm and Transformer Design for Low-Resource Chinese-African Neural Machine TranslationATTENTION BASED ENGLISH-AFAAN OROMO NEURAL MACHINE TRANSLATION

Research on Sentiment Analysis of Tibetan Short Text Based on Dual-channel Hybrid Neural Network

Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews

Since the advent of Neural Machine Translation (NMT) approaches there has been a tremendous improvem

Machine Translation with Neural Networks Based on a Transformer

Over the same period, thanks to deep neural networks, particularly in machine translation tasks that

Research on Low Resource Neural Machine Translation Based on Non-autoregressive Model

Abstract The autoregressive model can’t make full use of context information becaus

Hybrid Optimization Algorithm and Transformer Design for Low-Resource Chinese-African Neural Machine Translation

ATTENTION BASED ENGLISH-AFAAN OROMO NEURAL MACHINE TRANSLATION

Neural Machine Translation (NMT) is a method for learning automatic translation using a single large