Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
High precision extraction of grammatical relations
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A generative constituent-context model for improved grammar induction
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Deterministic dependency parsing of English text
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Formal Grammars of Early Language
Languages: From Formal to Natural
Syntactic complexity measures for detecting mild cognitive impairment
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
High-accuracy annotation and parsing of CHILDES transcripts
CACLA '07 Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition
CACLA '07 Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Classification of atypical language in autism
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
Detecting structural events for assessing non-native speech
IUNLPBEA '11 Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications
Efficient and robust phrase chunking using support vector machines
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Automatically learning measures of child language development
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Graph-based alignment of narratives for automated neurological assessment
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
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To facilitate the use of syntactic information in the study of child language acquisition, a coding scheme for Grammatical Relations (GRs) in transcripts of parent-child dialogs has been proposed by Sagae, MacWhinney and Lavie (2004). We discuss the use of current NLP techniques to produce the GRs in this annotation scheme. By using a statistical parser (Charniak, 2000) and memory-based learning tools for classification (Daelemans et al., 2004), we obtain high precision and recall of several GRs. We demonstrate the usefulness of this approach by performing automatic measurements of syntactic development with the Index of Productive Syntax (Scarborough, 1990) at similar levels to what child language researchers compute manually.