关键词：机器翻译；计算语言学；统计；建模；自然语言；提高用户；工作效率
摘 要：Machine translation is a process of translating a word from one language to another. It is one of the sub-fields of computational linguistics, which deals with the statistical or rule-based modeling of natural language, which arises, unpremeditated, in our minds. Machine translation enables speedy translation of several documents or contents, increasing a user's productivity. It is a costeffective method employed by companies to create multilingual content for a global website. Vendors in the market have started developing machine translation software that uses statistical translation techniques to improve the accuracy of the translation process.
目 录：

01. Executive Summary

02. List of Abbreviations

03. Scope of the Report

03.1 Market Overview

03.2 Product Offerings

04. Market Research Methodology

04.1 Market Research Process

04.2 Research Methodology

05. Introduction

06. Market Landscape

06.1 Workflow of Machine Translation System

Input Text

Filtering

Conversion

Morphological Analysis

Syntactic Analysis

Identification of Non-textual Content

Quality Check

Target Text

07. Market Landscape

07.1 Global Machine Translation Market

07.1.1 Market Size and Forecast

07.2 Global Human Translation Market

07.2.1 Market Size and Forecast

07.3 Five Forces Analysis

08. Geographical Segmentation

08.1 Geographical Segmentation of Global Machine

Translation Market 2014-2019

08.2 Machine Translation Market in EMEA Region

08.2.1 Market Size and Forecast

08.3 Machine Translation Market in Americas

08.3.1 Market Size and Forecast

08.4 Machine Translation Market in APAC Region

08.4.1 Market Size and Forecast

09. Buying Criteria

09.1 Parameters

Availability

Consistency

Speed

Total Cost of Ownership

10. Market Growth Drivers

11. Drivers and their Impact

12. Market Challenges

13. Impact of Drivers and Challenges

14. Market Trends

15. Trends and their Impact

16. Vendor Landscape

16.1.1 Key news

16.1.2 Key Mergers and Acquisitions

16.2 Other Prominent Vendors

17. Key Vendor Analysis

17.1 IBM

17.1.1 Key Facts

17.1.2 Business Description

17.1.3 Business Segmentation

17.1.4 Revenue Segmentation by Business Segment

17.1.5 Revenue Segmentation by Business Operation

17.1.6 Revenue Comparison of Business Segments 2012 and 2013

17.1.7 Revenue Segmentation by Geography

17.1.8 Business Strategy

17.1.9 Key Developments

17.1.10 SWOT Analysis

17.2 Lionbridge

17.2.1 Key Facts

17.2.2 Business Overview

17.2.3 Business Segmentation by Revenue 2013

17.2.4 Business Segmentation by Revenue 2012 and 2013

17.2.5 Geographical Segmentation by Revenue 2013

17.2.6 Business Strategy

17.2.7 Recent Developments

17.2.8 SWOT Analysis

17.3 SDL

17.3.1 Key Facts

17.3.2 Business Overview

17.3.3 Business Segmentation by Revenue 2013

17.3.4 Business Segmentation by Revenue 2012 and 2013

17.3.5 Geographical Segmentation by Revenue 2013

17.3.6 Business Strategy

17.3.7 Recent Developments

17.3.8 SWOT Analysis

18. Other Reports in this Series