arXiv · 1809.07182
String Transduction with Target Language Models and Insertion Handling
Abstract
Many character-level tasks can be framed as sequence-to-sequence transduction, where the target is a word from a natural language. We show that leveraging target language models derived from unannotated target corpora, combined with a precise alignment of the training data, yields state-of-the art results on cognate projection, inflection generation, and phoneme-to-grapheme conversion.
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Garrett Nicolai, Saeed Najafi, Grzegorz Kondrak. 2018-09-19. String Transduction with Target Language Models and Insertion Handling. https://arxiv.org/abs/1809.07182
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