Choice of grammatical word-class without global syntactic analysis: tagging words in the LOB Corpus.
Computers and the Humanities
A Computational Approach to Grammatical Coding of English Words
Journal of the ACM (JACM)
Art and Theory of Dynamic Programming
Art and Theory of Dynamic Programming
Semantic interpretation against ambiguity
Semantic interpretation against ambiguity
Grammatical analysis by computer of the Lancaster-Oslo/Bergen (LOB) corpus of British English texts
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
A proposal for lexical disambiguation
HLT '91 Proceedings of the workshop on Speech and Natural Language
Use of syntactic context to produce term association lists for text retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Deterministic part-of-speech tagging with finite-state transducers
Computational Linguistics
Learning morpho-lexical probabilities from an untagged corpus with an application to Hebrew
Computational Linguistics
Estimating lexical priors for low-frequency morphologically ambiguous forms
Computational Linguistics
A Machine Learning Approach to POS Tagging
Machine Learning
Formal Context and Morphological Analysis
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
NLP '00 Proceedings of the Second International Conference on Natural Language Processing
A Methodology for Deriving Probabilistic Correctness Measures from Recognizers
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Introduction to the special issue on computational linguistics using large corpora
Computational Linguistics - Special issue on using large corpora: I
Generalized probabilistic LR parsing of natural language (Corpora) with unification-based grammars
Computational Linguistics - Special issue on using large corpora: I
Coping with ambiguity and unknown words through probabilistic models
Computational Linguistics - Special issue on using large corpora: II
Tagging English text with a probabilistic model
Computational Linguistics
Improving accuracy in word class tagging through the combination of machine learning systems
Computational Linguistics
Automatic rule induction for unknown-word guessing
Computational Linguistics
Real-time automatic insertion of accents in French text
Natural Language Engineering
Does Baum-Welch re-estimation help taggers?
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
A practical part-of-speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
A corpus-based statistical approach to automatic book indexing
ANLC '92 Proceedings of the third conference on Applied natural language processing
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
A syntax-based part-of-speech analyser
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Parsing without lexicon: the MorP system
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
The recognition capacity of local syntactic constraints
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Morphological disambiguation by voting constraints
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Comparing a linguistic and a stochastic tagger
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Tagging English by path voting constraints
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Acquiring disambiguation rules from text
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Combining Trigram-based and feature-based methods for context-sensitive spelling correction
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Fast parsing using pruning and grammar specialization
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
GPSM: a Generaized Probabilistic Semantic Model for ambiguity resolution
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
"The first million is hardest to get": building a large tagged corpus as automatically as possible
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Blending segmentation with tagging in Chinese language corpus processing
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Disambiguation of morphological analysis in Bantu languages
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Linguistic indeterminacy as a source of errors in tagging
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Handling sparse data by successive abstraction
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Tagging spoken language using written language statistics
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Parsing, word associations and typical predicate-argument relations
HLT '89 Proceedings of the workshop on Speech and Natural Language
Augmenting a hidden Markov model for phrase-dependent word tagging
HLT '89 Proceedings of the workshop on Speech and Natural Language
A simple rule-based part of speech tagger
HLT '91 Proceedings of the workshop on Speech and Natural Language
Example-based correction of word segmentation and part of speech labelling
HLT '93 Proceedings of the workshop on Human Language Technology
A report of recent progress in transformation-based error-driven learning
HLT '94 Proceedings of the workshop on Human Language Technology
An interactive spreadsheet for teaching the forward-backward algorithm
ETMTNLP '02 Proceedings of the ACL-02 Workshop on Effective tools and methodologies for teaching natural language processing and computational linguistics - Volume 1
Markov models for language-independent named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Natural language tagging with genetic algorithms
Information Processing Letters
A hybrid approach to fuzzy name search incorporating language-based and text-based principles
Journal of Information Science
Agent Based Arabic Language Understanding
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Part-of-speech tagging of modern hebrew text
Natural Language Engineering
HunPos: an open source trigram tagger
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Wrap-Up: a trainable discourse module for information extraction
Journal of Artificial Intelligence Research
POST: using probabilities in language processing
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Using DEDICOM for completely unsupervised part-of-speech tagging
UMSLLS '09 Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics
Equations for part-of-speech tagging
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Comparing canonicalizations of historical German text
SIGMORPHON '10 Proceedings of the 11th Meeting of the ACL Special Interest Group on Computational Morphology and Phonology
A unified framework to incorporate speech and language information in spoken language processing
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Acoustic side-channel attacks on printers
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
Assessment of language skills weaknesses and their confrontation through personalized e-lessons
Proceedings of the 12th International Conference on Computer Systems and Technologies
Ending-based strategies for part-of-speech tagging
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Comparing two markov methods for part-of-speech tagging of portuguese
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Proceedings of the 15th ACM on International conference on multimodal interaction
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Several algorithms have been developed in the past that attempt to resolve categorial ambiguities in natural language text without recourse to syntactic or semantic level information. An innovative method (called "CLAWS") was recently developed by those working with the Lancaster-Oslo/Bergen Corpus of British English. This algorithm uses a systematic calculation based upon the probabilities of co-occurrence of particular tags. Its accuracy is high, but it is very slow, and it has been manually augmented in a number of ways. The effects upon accuracy of this manual augmentation are not individually known.The current paper presents an algorithm for disambiguation that is similar to CLAWS but that operates in linear rather than in exponential time and space, and which minimizes the unsystematic augments. Tests of the algorithm using the million words of the Brown Standard Corpus of English are reported; the overall accuracy is 96%. This algorithm can provide a fast and accurate front end to any parsing or natural language processing system for English.