Free online Machine Translation (MT) is known to provide instant access to information in multiple language pairs. This is why MT has proved to be extremely useful in various spoken and written text applications in reducing language barriers and facilitating cross-lingual information search as well as commerce and communication. The first chapter of this book explores the connections between free online Machine Translation, mobile learning via a wide array of easily accessible apps, and the future of language learning as we know it. Chapter two describes the use of the Web as a content generator for experimenting with human-machine language interaction. Chapter three provides issues and strategies for multilingual text processing in the domain of international affairs. Chapter four introduces several machine vision-based methods for measuring the cross-sectional geometric parameters of microdrills and their comparisons. Chapter five mainly serves to introduce the research into, and the development and application of, machine translation technology at research institutes and universities in China. The last chapter analyses existing systems, extracts the relevant information from an interaction point of view, and proposes and describes interaction abstractions for public displays.
| ISBN: | 9781634838764 |
| Publication date: | 1st January 2016 |
| Author: | Simon T Yates |
| Publisher: | Nova Science Publishers an imprint of Nova Science Publishers, Inc |
| Format: | Hardback |
| Pagination: | 130 pages |
| Series: | Computer Science, Technology and Applications |
| Genres: |
Computer science |
Free online Machine Translation (MT) is known to provide instant access to information in multiple language pairs. This is why MT has proved to be extremely useful in various spoken and written text applications in reducing language barriers and facilitating cross-lingual information search as well as commerce and communication. The first chapter of this book explores the connections between free online Machine Translation, mobile learning via a wide array of easily accessible apps, and the future of language learning as we know it. Chapter two describes the use of the Web as a content generator for experimenting with human-machine language interaction. Chapter three provides issues and strategies for multilingual text processing in the domain of international affairs. Chapter four introduces several machine vision-based methods for measuring the cross-sectional geometric parameters of microdrills and their comparisons. Chapter five mainly serves to introduce the research into, and the development and application of, machine translation technology at research institutes and universities in China. The last chapter analyses existing systems, extracts the relevant information from an interaction point of view, and proposes and describes interaction abstractions for public displays.
Machine Vision & Human-Machine Interface features in the following genres: Computer science
Machine Vision & Human-Machine Interface is available in Hardback
Machine Vision & Human-Machine Interface was written by Simon T Yates and published by Nova Science Publishers an imprint of Nova Science Publishers, Inc
Machine Vision & Human-Machine Interface has 130 pages
Yes it is part of Computer Science, Technology and Applications series