Adriane Boyd Department of Linguistics Oxley Hall 204 1712 Neil Ave. Columbus, OH 43210 adriane AT ling DOT ohio-state DOT edu

Research

I am interested in computational linguistics, syntax, and intelligent computer-aided language learning.

I was a research assistant for the DECCA project (Detection of Errors and Correction in Corpus Annotation).

• Spring 2008: Linguistics 201: Introduction to Language
• Winter 2008: Linguistics 201: Introduction to Language
• Winter 2006: Linguistics 384: Language and Computers
• Autumn 2005: Linguistics 384: Language and Computers

Adriane Boyd (2009). Pronunciation Modeling in Spelling Correction for Writers of English as a Foreign Language. NAACL HLT 2009: Student Research Workshop. Boulder, Colorado. (pdf from ACL archive)

Adriane Boyd, Markus Dickinson, and Detmar Meurers (2008). On Detecting Errors in Dependency Treebanks. Research on Language and Computation. 6(2), pp. 113-137.

Adriane Boyd and Detmar Meurers (2008). Revisiting the Impact of Different Annotation Schemes on PCFG Parsing: A Grammatical Dependency Evaluation. Proceedings of the ACL'08 Workshop on Parsing German. Columbus, Ohio. (pdf from ACL archive)

Adriane Boyd, Markus Dickinson, and Detmar Meurers (2007). Increasing the recall of corpus annotation error detection. Proceedings of the Sixth International Workshop on Treebanks and Linguistic Theories (TLT 2007). Bergen, Norway.

Adriane Boyd, Markus Dickinson, and Detmar Meurers (2007). On representing dependency relations -- Insights from converting the German TiGerDB. Proceedings of the Sixth International Workshop on Treebanks and Linguistic Theories (TLT 2007). Bergen, Norway.

Adriane Boyd (2007). Discontinuity Revisited: An Improved Conversion to Context-Free Representations. In Proceedings of the Linguistic Annotation Workshop (LAW 2007). (local pdf, pdf from ACL archive)

Adriane Boyd, Whitney Gegg-Harrison, and Donna Byron (2006). Identifying non-referential it. A machine learning approach incorporating linguistically motivated patterns. Traitement Automatique des Langues. Volume 46, No. 1.

Adriane Boyd, Whitney Gegg-Harrison, and Donna Byron (2005). Identifying non-referential it: a machine learning approach incorporating linguistically motivated features. In Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing. (local pdf, pdf from ACL archive)

Education

I graduated from the North Carolina School of Science and Mathematics, a public, residential high school for juniors and seniors located in Durham, NC.

I received a B.A. from the University of North Carolina at Chapel Hill with a double major in linguistics and German. I spent my junior year studying computational linguistics at the Universität Heidelberg.

During my time at UNC-CH, I worked as an assistant systems administrator in the physics department and as a web programmer at ibiblio.org.