I am investigating computational models for linguistic structures and processes, with application to language technologies and to the documentation of endangered languages. My current focus is on efficient query for databases of hierarchically annotated data. After completing a PhD on computational phonology at the University of Edinburgh in 1990, I worked on a series of European research projects and conducted linguistic fieldwork in Cameroon with SIL. In 1998 I moved to the University of Pennsylvania, becoming Associate Director of the LDC, and working on models and tools for linguistic annotation. In 2002 I returned home to Australia and established the Melbourne University Language Technology Group. In 2007 I was awarded the Kelvin Medal for excellence in teaching.
Key Activities: Coordinating first year Informatics; developing the Natural Language Toolkit; writing a textbook on NLP; leading the Language Technology Group; working on an NSF project on Querying Linguistic Databases; and editing Cambridge Studies in Natural Language Processing and the ACL Anthology.
Key Publications: Natural Language Processing in Python; Computational phonology: A constraint-based approach (Cambridge); A formal framework for linguistic annotation (Speech Communication); Seven dimensions of portability for language documentation and description (Language); Designing and evaluating an XPath dialect for linguistic queries (ICDE).
Wolfram|Alpha is more than a search engine. It gives you access to the world's facts and data and calculates answers across a range of topics, including science, nutrition, history, geography, engineering, mathematics, linguistics, sports, finance, music...
This paper presents a work in progress whose
purpose is to model the handled, acquired, correct and
erroneous knowledge of individual learners engaged in
learning activities through virtual learning environments.
This knowledge is represented according to a cognitivecomputational
model which also serves to represent the
domain knowledge via an authoring tool. The latter
generates structures that allow the tutor to provide an
effective feedback to improve significantly the cognitive
level of the learner.
World Journal of Neuroscience (WJNS) is an international journal dedicated to the latest advancement of Neuroscience. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of Neuroscience. All manuscripts must be prepared in English, and are subject to a rigorous and fair peer-review process. Accepted papers will immediately appear online followed by printed hard copy.
H. Wachsmuth, B. Stein, and Y. Ajjour. 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), page 1116-1126. Association for Computational Linguistics, (April 2017)
M. Anselmo, D. Giammarresi, and M. Madonia. Theoretical Computer Science, 410 (37):
3520 - 3529(2009)Implementation and Application of Automata (CIAA 2007).