A corpus-based approach to language learning
A corpus-based approach to language learning
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
XML tools and architecture for Named Entity recognition
Markup Languages
Generative programming: methods, tools, and applications
Generative programming: methods, tools, and applications
Modern C++ design: generic programming and design patterns applied
Modern C++ design: generic programming and design patterns applied
A Rational Design for a Weighted Finite-State Transducer Library
WIA '97 Revised Papers from the Second International Workshop on Implementing Automata
Maximum entropy models for natural language ambiguity resolution
Maximum entropy models for natural language ambiguity resolution
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Improving accuracy in word class tagging through the combination of machine learning systems
Computational Linguistics
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Mixed-initiative development of language processing systems
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
GATE: a General Architecture for Text Engineering
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Investigating GIS and smoothing for maximum entropy taggers
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Dialogue interaction with the DARPA communicator infrastructure: the development of useful software
HLT '01 Proceedings of the first international conference on Human language technology research
Scaling to very very large corpora for natural language disambiguation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Transformation-based learning in the fast lane
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
NLTK: the Natural Language Toolkit
ETMTNLP '02 Proceedings of the ACL-02 Workshop on Effective tools and methodologies for teaching natural language processing and computational linguistics - Volume 1
A comparison of algorithms for maximum entropy parameter estimation
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Bootstrapping POS taggers using unlabelled data
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Grid-based Indexing of a Newswire Corpus
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Automatic metadata extraction from museum specimen labels
DCMI '08 Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications
WAC '06 Proceedings of the 2nd International Workshop on Web as Corpus
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Natural Language Processing (NLP) system developers face a number of new challenges. Interest is increasing for real-world systems that use NLP tools and techniques. The quantity of text now available for training and processing is increasing dramatically. Also, the range of languages and tasks being researched continues to grow rapidly. Thus it is an ideal time to consider the development of new experimental frameworks. We describe the requirements, initial design and exploratory implementation of a high performance NLP infrastructure.