Papers with transliteration generation

1 papers
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages (D18-1)

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Challenge: Existing approaches to transliteration generation require a large number of training examples.
Approach: They propose a bootstrapping algorithm that uses constrained discovery to improve generation . they show that the model can be used with as few as 500 training examples .
Outcome: The proposed method improves on nine languages written in a unique script.

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