Many Languages, One Parser

@article{Ammar2016ManyLO,
  title={Many Languages, One Parser},
  author={Waleed Ammar and George Mulcaire and Miguel Ballesteros and Chris Dyer and Noah A. Smith},
  journal={Transactions of the Association for Computational Linguistics},
  year={2016},
  volume={4},
  pages={431-444}
}

• Waleed Ammar, George Mulcaire, +2 authors Noah A. Smith
• Published in
  Transactions of the…
  2016
• DOI:10.1162/tacl_a_00109

We train one multilingual model for dependency parsing and use it to parse sentences in several languages. The parsing model uses (i) multilingual word clusters and embeddings; (ii) token-level language information; and (iii) language-specific features (fine-grained POS tags). This input representation enables the parser not only to parse effectively in multiple languages, but also to generalize across languages based on linguistic universals and typological similarities, making it more… CONTINUE READING

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