Deep learning in machine translation

Y Liu, J Zhang - Deep learning in natural language processing, 2018 - Springer
Abstract Machine translation (MT) is an important natural language processing task that
investigates the use of computers to translate human languages automatically. Deep …

Deep learning and translation technology

SC Siu - Routledge Encyclopedia of Translation Technology, 2023 - taylorfrancis.com
This chapter discusses deep learning and its application to translation technology. It first
explains what deep learning is and how it works, with an introduction to key concepts, such …

Feature Extraction Method of Machine Translation Equivalent Pairs in Chinese-English Comparable Corpus based OCR Recognition

B Wang - 2021 5th International Conference on Trends in …, 2021 - ieeexplore.ieee.org
With the development of natural language processing and text mining technology, it has
become a trend to mine and extract corresponding knowledge from unstructured text …

Image-enhanced multi-modal representation for local topic detection from social media

J Chen, N Gao, Y Zhang, C Tu - … , DASFAA 2021, Taipei, Taiwan, April 11 …, 2021 - Springer
Detecting local topics from social media is an important task for many applications, ranging
from event tracking to emergency warning. Recent years have witnessed growing interest in …

I can guess what you mean: A monolingual query enhancement for machine translation

C Pang, H Zhao, Z Li - … on Natural Language Processing Based on …, 2016 - Springer
We introduce a monolingual query method with additional webpage data to improve the
translation quality for more and more official use requirement of statistical machine …

[DOC][DOC] 基于集成学习的最小错误率训练算法

陈昉, 王志豪, 赵程绮, 李江梦 - 厦门大学学报(自然科学版), 2015 - jxmu.xmu.edu.cn
最小错误率训练是统计机器翻译的标准调参方法, 在统计机器翻译建模过程中发挥着重要作用.
然而, 该方法在训练过程中容易出现训练过拟合现象, 即开发集训练得到的权重无法很好地适用 …