In this paper, we propose a three-step multilingual dependency parser, which generalizes an efficient parsing algorithm at first phase, a root parser and post-processor at the second and third stages. The main focus of our work is to provide an efficient parser that is practical to use with combining only lexical and part-of-speech features toward language independent parsing. The experimental results show that our method outperforms Maltparser in 13 languages. We expect that such an efficient model is applicable for most languages.
|Number of pages||5|
|State||Published - 2006|
|Event||10th Conference on Computational Natural Language Learning, CoNLL 2006 - New York City, United States|
Duration: 8 Jun 2006 → 9 Jun 2006
|Conference||10th Conference on Computational Natural Language Learning, CoNLL 2006|
|City||New York City|
|Period||8/06/06 → 9/06/06|