Meta AI Team Introduces LegoNN: A New ML Framework For Building Modular Encoder-Decoder Models

Nowadays, computer programs can translate text from one language to another using a process known as machine translation (MT), sometimes known as automated translation. MT uses a machine translation engine to compare and contrast many sources and target languages.

Learning several implicit functions is necessary to train end-to-end models for automated speech recognition (ASR) and machine translation (MT). While an ASR model integrates phoneme recognition, speech modeling, and language generation, an MT model implicitly performs both word translation and language …

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