S
Steven Bird
Researcher at Charles Darwin University
Publications - 174
Citations - 15382
Steven Bird is an academic researcher from Charles Darwin University. The author has contributed to research in topics: Annotation & Language documentation. The author has an hindex of 37, co-authored 173 publications receiving 13832 citations. Previous affiliations of Steven Bird include University of California, Berkeley & University of Pennsylvania.
Papers
More filters
Book
Natural Language Processing with Python
TL;DR: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.
Posted Content
NLTK: The Natural Language Toolkit
Edward Loper,Steven Bird +1 more
TL;DR: NLTK, the Natural Language Toolkit, is a suite of open source program modules, tutorials and problem sets, providing ready-to-use computational linguistics courseware that covers symbolic and statistical natural language processing.
Proceedings ArticleDOI
NLTK: The Natural Language Toolkit
TL;DR: The Natural Language Toolkit has been rewritten, simplifying many linguistic data structures and taking advantage of recent enhancements in the Python language.
Posted Content
A Formal Framework for Linguistic Annotation
Steven Bird,Mark Liberman +1 more
TL;DR: The authors survey a wide variety of existing annotation formats and demonstrate a common conceptual core, the annotation graph, which provides a formal framework for constructing, maintaining and searching linguistic annotations, while remaining consistent with many alternative data structures and file formats.
Journal ArticleDOI
A formal framework for linguistic annotation
Steven Bird,Mark Liberman +1 more
TL;DR: A wide variety of existing annotation formats are surveyed and a common conceptual core, the annotation graph, is demonstrated, which provides a formal framework for constructing, maintaining and searching linguistic annotations, while remaining consistent with many alternative data structures and file formats.