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From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings

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Figure

Table 1: Overview of tasks and datasets.
Table 2: Accuracies on prediction of WALS featureswith language embeddings fine-tuned on Grapheme-to-Phoneme mapping
Figure 2: Prediction of two morphological features inWALS with morphological language embeddings, onedata point per 50 iterations.
Figure 3: System architecture used in the seq-to-seq1461471481494.2Phonological Experimentstasks (morphological inflection, G2P, and phonologicalWe train a sequence-to-sequence model identicalreconstruction)
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