SLT most commonly refers to Statistical Language Translation. It's a machine translation approach that uses statistical models trained on large parallel corpora (texts in multiple languages aligned sentence by sentence) to translate text from one language to another. The system learns translation probabilities and language models from the data, and then uses these models to find the most likely translation of a given input sentence. It is commonly used in machine translation systems, automated translation tools, and research on natural language processing.
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