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Machine translation
Subfield of computational linguistics that focuses on the use of software to translate text or speech from one language to another. Machine translation systems can be rule-based, statistical, or neural, each offering different approaches to translation accuracy and efficiency. It is primarily beneficial for individuals and organizations needing real-time communication, content localization, and document translation across multiple languages.
Machine translation was discovered on June 19th 2020 and it currently has a search volume of 18.1K with a growth of +189%.
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
- High
- Medium
- Low
Volatility
- High
- Average
- Low
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