论文信息 - Dependency Parsers for Persian

Dependency Parsers for Persian

We present two dependency parsers for Persian, MaltParser and MSTParser, trained on theUppsala PErsian Dependency Treebank. The treebank consists of 1,000 sentences today. Itsannotation scheme is based on Stanford Typed Dependencies (STD) extended for Persianwith regard to object marking and light verb contructions. The parsers and the treebank aredeveloped simultanously in a bootstrapping scenario. We evaluate the parsers by experimentingwith different feature settings. Parser accuracy is also evaluated on automatically generated andgold standard morphological features. Best parser performance is obtained when MaltParseris trained and optimized on 18,000 tokens, achieving 68.68% labeled and 74.81% unlabeledattachment scores, compared to 63.60% and 71.08% for labeled and unlabeled attachmentscore respectively by optimizing MSTParser.

[1] Joakim Nivre,et al. MaltOptimizer: A System for MaltParser Optimization , 2012, LREC.

[2] Joakim Nivre,et al. MaltParser: A Data-Driven Parser-Generator for Dependency Parsing , 2006, LREC.

[3] Joakim Nivre,et al. Inductive Dependency Parsing , 2006, Text, speech and language technology.

[4] Sabine Buchholz,et al. CoNLL-X Shared Task on Multilingual Dependency Parsing , 2006, CoNLL.

[5] Michael A. Covington,et al. A Fundamental Algorithm for Dependency Parsing , 2004 .

[6] Joakim Nivre,et al. Incrementality in Deterministic Dependency Parsing , 2004 .

[7] Mojgan Seraji,et al. A Basic Language Resource Kit for Persian , 2012, LREC.

[8] Joakim Nivre,et al. An Efficient Algorithm for Projective Dependency Parsing , 2003, IWPT.

[9] Fernando Pereira,et al. Non-Projective Dependency Parsing using Spanning Tree Algorithms , 2005, HLT.

[10] Christopher D. Manning,et al. The Stanford Typed Dependencies Representation , 2008, CF+CDPE@COLING.

[11] Joakim Nivre,et al. Non-Projective Dependency Parsing in Expected Linear Time , 2009, ACL.

[12] Noah A. Smith,et al. Dependency Parsing , 2009, Encyclopedia of Artificial Intelligence.

[13] András Kornai,et al. HunPos: an open source trigram tagger , 2007, ACL 2007.

[14] Koby Crammer,et al. Online Large-Margin Training of Dependency Parsers , 2005, ACL.

[15] Joakim Nivre,et al. An Improved Oracle for Dependency Parsing with Online Reordering , 2009, IWPT.