What are the common misconceptions about MT?
There are many misconceptions about machine translation. Some come from the experience that people have had historical legacy machine translation products and tools. Others come from translators that do not yet fully understand the technology and are afraid that machine translation threatens to replace them. Some of the common misconceptions are listed below. All are FALSE.
- Machine translation will be useful in the future, but we’re not there yet.
- Machine translation quality is so bad, that any translations done by machine are useless.
- It is faster to translate by hand than to edit machine tranlation output.
- Machine Translation will replace human translators.
- Anybody with a PC and a browser can download Moses and build an MT engine.
- General Purpose “Free” Online machine translation is the same as carefully built custom machine translation engines.
- Instant machine translation Solutions are the same at carefully customized engines.
- Rules-based machine translation is better than Statistical machine translation or vice versa.
Related Links
Pages
- Introduction to Machine Translation at Omniscien
- Hybrid Neural and Statistical Machine Translation
- Custom Machine Translation Engines
- Powerful Tools for Data Creation, Preparation, and Analysis
- Clean Data Machine Translation
- Industry Domains
- Ways to Translate
- Supported Languages
- Supported Document Formats
- Deployment Models
- Data Security & Privacy
- Secure by Design
- Localization Glossary - Terms that you should know
Products
- Language Studio
Enterprise-class private and secure machine translation. - Media Studio
Media and Subtitle Translation, Project Management and Data Processing - Workflow Studio
Enterprise-class private and secure machine translation.
FAQ
- FAQ Home Page
- Primer; Different Types of Machine Translation
- What is Custom Machine Translation?
- What is Generic Machine Translation?
- What is Do-It-Yourself (DIY) Machine Translation?
- What is Hybrid Machine Translation?
- What is Neural Machine Translation?
- What is Statistical Machine Translation?
- What is Rules-Based Machine Translation?
- What is Syntax-Based Machine Translation?
- What is the difference between “Clean Data MT” and “Dirty Data MT”?