Machine Translation
Machine Translation (MT) is the use of computer algorithms to automatically translate text from one language to another. MT systems can be rule-based, statistical, or neural. Rule-based systems rely on a set of predefined linguistic rules and dictionaries to translate text. Statistical systems use large amounts of bilingual text to learn how to translate. Neural systems use deep learning algorithms to learn how to translate by analyzing large amounts of bilingual text. MT has many applications, including language localization, content translation, and communication between people who speak different languages. However, MT systems still face challenges such as accurately capturing the nuances of language, handling idiomatic expressions, and dealing with low-resource languages.
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