Papers with distributed language representations

1 papers
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings (N18-1)

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Challenge: linguistic typology is the classification of languages according to their linguistic properties.
Approach: They learn distributed language representations which can be used to predict typological properties on a massively multilingual scale.
Outcome: The proposed model can predict typological properties on a massively multilingual scale.

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