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What is Hybrid Machine Translation?

What is Hybrid Machine Translation?
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What is Hybrid Machine Translation?

Hybrid Machine Translation is a method of machine translation that is characterized by the use of multiple machine translation approaches within a single machine translation system. The motivation for developing hybrid machine translation systems stems from the failure of any single technique to achieve a satisfactory level of accuracy.

Although there are several forms of hybrid machine translation such as Multi-Engine, statistical rule generation and multi-pass, the most common forms are:

  • Rules Post-Processed by Statistics: Translations are performed using a rules based engine. Statistics are then used in an attempt to adjust/correct the output from the rules engine. This is also known as statistical smoothing and automatic post editing. This is more of a “Band-Aid” approach to machine translation where there is an attempt to improve lower quality output from an RBMT engine rather than addressing the root cause of issues.

  • Statistics Guided by Rules: Rules are used to pre-process data in an attempt to better guide the statistical engine. Rules are also used to post-process the statistical output to perform functions such as normalization. This approach has a lot more power, flexibility and control when translating. Many issues can be addressed at their root causes through rules that go beyond the capabilities on a statistical only approach.

Language Studio uses a more advanced form of statistics guided by rules that also incorporates syntax based and multi-pass machine translation as well as combining SMT and Deep NMT into hybrid MT for maximum quality. The specific approach will vary depending on the language pair and domain complexity. Language Studio supports the ability to enable or disable the various hybrid components at an individual engine level.