Multilingual Projection for Parsing Truly Low-Resource Languages

TACL 2016 {\v{Z}}eljko Agi{\'c}Anders JohannsenBarbara PlankH{\'e}ctor Mart{\'\i}nez AlonsoNatalie SchluterAnders S{\o}gaard

We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet