Abstract. We investigate the behavior of maps learned by machine translation methods. The maps translate words by projecting between word embedding spaces ...
Jun 7, 2018 · Abstract:We investigate the behavior of maps learned by machine translation methods. The maps translate words by projecting between word ...
Characterizing Departures from Linearity in Word Translation
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The maps translate words by projecting between word embedding spaces of different languages. We locally approximate these maps using linear maps, and find that ...
It is shown that the locally linear maps vary by an amount that is tightly correlated with the distance between the neighborhoods on which they are trained, ...
Characterizing Departures from Linearity in Word Translation | Bytez
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We investigate the behavior of maps learned by machine translation methods. The maps translate words by projecting between word embedding spaces of ...
Abstract. We investigate the behavior of maps learned by machine translation methods. The maps translate words by projecting between word embedding spaces ...
Bibliographic details on Characterizing Departures from Linearity in Word Translation.
Characterizing Departures from Linearity in Word Translation ; A Novel Unsupervised Approach for Cross-Lingual Word Alignment in Low Isomorphic Embedding Spaces.
The maps translate words by projecting between word embedding spaces of different languages. We locally approximate these maps using linear maps, and find that ...
Characterizing Departures from Linearity in Word Translation. Ndapa Nakashole | Raphael Flauger |. Paper Details: Month: July Year: 2018