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Is there a general, modular framework for building NLP applications like Machine Translation?

How can I build NLP applications in a modular way, using Machine Translation as a primary example?

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By Ramesh Answered 2 years ago

Yes, the Unstructured Information Management Architecture (UIMA) is a standard framework designed for this. It allows you to define a pipeline of independent analysis engines (e.g., tokenizer, POS tagger, NE tagger) as configurable components. You can easily plug in custom or third-party modules, change their order, and toggle them on/off for experimentation. GATE (General Architecture for Text Engineering) is another comprehensive open-source platform that offers similar modularity and is widely used in NLP research and development.

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