|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/machinetranslation
课程评论：没有评论
课程名称：机器翻译 概述：欢迎参加CLICS-机器翻译慕课。本课程解释了机器翻译的基本原理。机器翻译是将一种自然语言翻译成另一种自然语言的任务，这些算法能够帮助人们用不同语言进行沟通。这类算法被广泛应用于Google翻译和手机应用程序等常见应用中。 完成本课程后，您将能够理解翻译自然语言的主要困难以及不同机器翻译方法的原理。课程的主要重点是当前最先进的神经机器翻译技术，利用深度学习方法对翻译过程进行建模。您还将能够确定哪些概念最适合您的机器翻译应用。 本课程由亚历克斯·怀贝尔教授和扬·尼胡斯助理教授讲授。 课程大纲： 1. 机器翻译基础介绍 2. 语言 3. 评估 4. 统计机器翻译 5. 神经网络模型 6. 神经机器翻译 (NMT) 7. 更深入的NMT知识
Name:Introduction to the basics of Machine Translation
Description:
Name:Language
Description:
Name:Evaluation
Description:
Name:Statistical Machine Translation
Description:
Name:Neural Network Models
Description:
Name:NMT
Description:
Name:More NMT
Description:
Welcome to the CLICS-Machine Translation MOOC This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device. After taking this course you will be able to understand the main difficulties of translating natural languages and the principles of different machine translation approaches. A main focus of the course will be the current state-of-the-art neural machine translation technology which uses deep learning methods to model the translation process. You will be able to decide which concepts fit your machine translation application best. This course is taught by Prof. Dr. Alexander Waibel (http://isl.anthropomatik.kit.edu/english/21_74.php) and Assistant Professor Dr. Jan Niehus (https://www.maastrichtuniversity.nl/jan.niehues).
