Multi-source synthetic treebank creation for improved cross-lingual dependency parsing
Francis Morton Tyers, Mariya Sheyanova, А. В. Мартынова, Pavel Stepachev, Konstantin Vinogorodskiy · 2018
This paper describes a method of creating synthetic treebanks for cross-lingual dependency parsing using a combination of machine translation (including pivot translation), annotation projection and the spanning tree algorithm.Sentences are first automatically translated from a lesser-resourced language to a number of related highly-resourced languages, parsed and then the annotations are projected back to the lesser-resourced language, leading to multiple trees for each sentence from the lesser-resourced language.The final treebank is created by merging the possible trees into a graph and running the spanning tree algorithm to vote for the best tree for each sentence.We present experiments aimed at parsing Faroese using a combination of Danish, Swedish and Norwegian.In a similar experimental setup to the CoNLL 2018 shared task on dependency parsing we report state-of-the-art results on dependency parsing for Faroese using an off-theshelf parser.