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Deep Generative Model for Joint Alignment and Word Representation

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Academic year: 2020

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Figure 1:A sequence xm1 is generated conditionedon a sequence of random embeddings zm1 ; generatingthe foreign sequence yn1 further requires latent lexicalalignments an1.
Table 2: English-French validation ↑accuracy and ↓AER results.
Table 7: English ↑GAP on LST test data.
Table 8: English sentence evaluation results: the last four rows correspond to the mean of 10 runs with EMBE-DALIGN models
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