Are the results of neural machine translation (NMT) usable in the same way as those of statistical machine translation (SMT)? Following a typical machine-learning approach, both methods are probabilistic, although the decoders—the ‘translation engines’—work differently. In SMT, the decoder is essentially a search algorithm. For each word and group of words in any new source sentence, it looks up the phrase table with words and groups of words from the training data, and it extracts the occurrences with the probability of equivalence. The best fit is the one with the […]

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Author: Luigi Muzii

Luigi Muzii