The Role of Experience in Language Processing
Period: 1998-2000
The ability to speak and understand language is probably the most intricate skill that people possess. It is certainly our most uniquely human ability. This project investigates how such an important skill is acquired and continues to develop throughout our lives. The resulting research findings will have applications in three areas: (1) the design of computer systems that can recognize and produce language, (2) the teaching of language skills, including reading, writing, and foreign language learning, and (3) the remediation of language disorders such as aphasia and dyslexia. The skills of language production and comprehension together comprise the language processing system, a complex system within the brain that turns thoughts into grammatical sequences of words and then articulates those words, and also understands the speech of others. The central claim of this project is that the language processing system is constantly changing. It adapts quickly to recent experience, while continuing
Publications:
- A Sequential Model for Multi Class Classification
Y. Even-Zohar and D. Roth
EMNLP - 2001 - Learning family relationships via propositional means
C. Cumby - Applying System Combination to Base Noun Phrase Identification
E. F. T. Kim-Sang and W. Daelemans and H. Dejean and R. Koeling and Y. Krymolowski and V. Punyakanok and D. Roth
COLING-ACL - 2000 - A classification approach to word prediction
Y. Even-Zohar and D. Roth
NAACL - 2000 - Relational Representations that facilitate learning
C. Cumby and D. Roth
KR - 2000 - Learning in Natural Language: Theory and Algorithmic Approaches
D. Roth
CoNLL - 2000 - Learning in Natural Language
D. Roth
IJCAI - 1999 - A Learning Approach to Shallow Parsing
M. Munoz and V. Punyakanok and D. Roth and D. Zimak
EMNLP-VLC - 1999 - Relational Learning for NLP using Linear Threshold Elements
R. Khardon and D. Roth and L. G. Valiant
IJCAI - 1999 - A Winnow based approach to Context-Sensitive Spelling Correction
A. R. Golding and D. Roth
Machine Learning - 1999 - Word Clustering via Classification
Y. Even-Zohar and D. Roth and D. Zelenko
BISFAI - 1999 - Part of Speech Tagging Using a Network of Linear Separators
D. Roth and D. Zelenko
Coling-Acl, The 17th International Conference on Computational Linguistics - 1998 - Learning to Resolve Natural Language Ambiguities: A Unified Approach
D. Roth
AAAI - 1998 - Incorporating Knowledge in Natural Language Learning: A Case Study
Y. Krymolowski and D. Roth
Coling-Acl workshop on the Usage of WordNet in Natural Language Processing Systems - 1998
