A Flexible POS Tagger Using an Automatically Acquired Language Model

We present an algorithm that automatically learns context constraints using statistical decision trees. We then use the acquired constraints in a flexible POS tagger. The tagger is able to use information of any degree: n-grams, automatically learned context constraints, linguistically motivated manually written constraints, etc. The sources and kinds of constraints are unrestricted, and the language model can be easily extended, improving the results. The tagger has been tested and evaluated on the WSJ corpus.

• Publication year

  1997

• Venue

  Annual Meeting of the Association for Computational Linguistics

• Publication date

  1997-07-07

• Fields of study

  Computer Science

• Identifiers
  DOI 10.3115/976909.979648arXiv cmp-lg/9707003
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Elements of Information Theory

  2005cited by this paper
• Unsupervised Learning of Disambiguation Rules for Part-of-Speech Tagging

  1999cited by this paper
• A system for evaluating performance and cost of SIMD array designs

  1999cited by this paper
• Developing a hybrid NP parser

  1997cited by this paper
• MBT: A Memory-Based Part of Speech Tagger-Generator

  1996cited by this paper
• Inducing constraint grammars

  1996cited by this paper
• Towards learning a constraint grammar from annotated corpora using decision trees

  1996cited by this paper
• Learning grammatical stucture using statistical decision-trees

  1996cited by this paper
• Learning Syntactic Rules and Tags with Genetic Algorithms for Information Retrieval and Filtering: An Empirical Basis for Grammatical Rules

  1995cited by this paper
• Using Decision Trees for Coreference Resolution

  1995cited by this paper
• Unsupervised Learning of Disambiguation Rules for Part of Speech Tagging

  1995cited by this paper
• Specifying a shallow grammatical representation for parsing purposes

  1995cited by this paper
• A language-independent system for parsing unrestricted text

  1995cited by this paper
• POS Tagging Using Relaxation Labelling

  1995cited by this paper
• Part-of-Speech Tagging With Neural Networks

  1994cited by this paper
• Programs for Machine Learning

  1994cited by this paper
• A Practical Part-of-Speech Tagger

  1992cited by this paper
• C4.5: Programs for Machine Learning

  1992cited by this paper
• A Simple Rule-Based Part of Speech Tagger

  1992influential reference
• A Distance-Based Attribute Selection Measure for Decision Tree Induction

  1991cited by this paper
• Constraint Grammar as a Framework for Parsing Running Text

  1990cited by this paper
• Acquiring Disambiguation Rules From Text

  1989cited by this paper
• Relaxation and Neural Learning: Points of Convergence and Divergence

  1989cited by this paper
• On the accuracy of pixel relaxation labeling

  1981cited by this paper
• Error bounds for convolutional codes and an asymptotically optimum decoding algorithm

  1967cited by this paper

• Deep Learning Based Part-of-Speech Tagging for Malayalam Twitter Data (Special Issue: Deep Learning Techniques for Natural Language Processing)

  2019cites this paper
• Question Classification using a Rule based Model

  2019cites this paper
• International Journal of Innovative Technology and Exploring Engineering (IJITEE)

  2019cites this paper
• Experiments on Applying Relaxation Labeling to Map Multilingual Hierarchies

  2016cites this paper
• Experimental analysis of malayalam pos tagger using epic framework in scala

  2016cites this paper
• ADMK: AN AD HOC COMPONENT FOR ASPECT AND DOMAIN BASED MOBILE RANKING

  2015cites this paper
• Desambiguação de anotações morfossintáticas feitas por MTMDD

  2015cites this paper
• Analysis of lexical ambiguity in Modern Greek using a computational lexicon

  2015influential citation
• ¿Cómo traducen traductores y profesores de idiomas? Estudio de corpus

  2014cites this paper
• Statistical langauge models for alternative sequence selection

  2011cites this paper
• Unsupervised Coreference Resolution Using a Graph Labeling Approach

  2011cites this paper
• A Self-enriching Methodology for Clustering Narrow Domain Short Texts

  2011cites this paper
• RuDriCo2 - a faster disambiguator and segmentation modifier

  2010cites this paper
• On Clustering and Evaluation of Narrow Domain Short-Text Corpora

  2009cites this paper
• On the Assessment of Text Corpora

  2009cites this paper
• Morpheme based Language Model for Part-of-Speech Tagging

  2008cites this paper
• On Clustering and Evaluation of Narrow Domain Short-Text Corpora

  2008cites this paper
• {34 () a Machine Learning Approach to Pos Tagging

  2007cites this paper
• A Complete Wn1.5 to Wn1.6 Mapping

  2007cites this paper
• From Detecting Errors to Automatically Correcting Them

  2006cites this paper
• Error detection and correction in annotated corpora

  2005influential citation
• Acquiring information extraction patterns from unannotated corpora

  2003cites this paper
• Customizing an MT system for unsupervised automatic email translation

  2003cites this paper
• A Complete WordNet1.5 to WordNet1.6 Mapping

  2001cites this paper
• A Framework for Language Model Adaptation for Highly-Inflected Slovenian Language

  2001cites this paper
• Topic detection for language model adaptation of highly-inflected languages by using a fuzzy comparison function

  2001cites this paper
• Corpus-based terminology extraction applied to information access

  2001cites this paper
• The Unknown Word Problem: a Morphological Analysis of Japanese Using Maximum Entropy Aided by a Dictionary

  2001cites this paper
• A Machine Learning Approach to POS Tagging

  2000cites this paper
• Incorporación de adjetivos al WordNet español

  2000cites this paper
• Mapping WordNets Using Structural Information

  2000cites this paper
• Evaluating Wordnets in Cross-language Information Retrieval: the ITEM Search Engine

  2000cites this paper
• Using Eurowordnet in a Concept-Based Approach to Cross-Language Text Retrieval

  1999cites this paper
• Mapping Multilingual Hierarchies Using Relaxation Labeling

  1999cites this paper
• Proposals on Mapping Multilingual Hierarchies

  1999cites this paper
• Automated grammatical tagging of child language samples.

  1999cites this paper
• An Adaptable IE System to New Domains

  1999cites this paper
• Part-of-speech Tagging: A Machine Learning Approach based on Decision Trees

  1999cites this paper
• A Hybrid Environment for Syntax-Semantic Tagging

  1998cites this paper
• Applying EuroWordNet to Cross-Language Text Retrieval

  1998cites this paper
• Improving Tagging Performance by Using Voting Taggers

  1998cites this paper
• Part-of-Speech Tagging Using Decision Trees

  1998cites this paper
• Improving Tagging Performance by Using Voting Taggers

  1998cites this paper
• An Environment for Morphosyntactic Processing of UnrestrictedSpanish

  1998cites this paper
• An environment for mophosyntactic processing of unrestricted Spanish text

  1998cites this paper
• Morphosyntactic analysis and parsing of unrestricted Spanish text

  1998cites this paper
• On the Evaluation and Comparison of Taggers: the Effect of Noise in Testing Corpora

  1998cites this paper
• Learning and generalization in the creation of information extraction systems

  1998cites this paper
• Improving Tagging Accuracy by Using Voting Taggers Llu

  year unknowncites this paper
• ?? () an Ie System Adaptable to New Domains

  year unknowncites this paper
• Part-of-speech Tagging 1.1 Introduction

  year unknowncites this paper
• Abstract—the Paper Describes a Tamil Part of Speech (pos) Tagging Using a Corpus-based Approach by Formulating a Language Model Using Morpheme Components of Words. Rule Based Tagging, Markov Model Taggers, Hidden Markov Model

  year unknowncites this paper
• Building an environment for unsupervised automatic e-mail translation

  year unknowncites this paper
• Natural Language Syntax Description using Generative Dependency Grammar

  year unknowncites this paper
• Abstract—the Paper Describes a Tamil Part of Speech (pos) Tagging Using a Corpus-based Approach by Formulating a Language Model Using Morpheme Components of Words. Rule Based Tagging, Markov Model Taggers, Hidden Markov Model

  year unknowncites this paper