SVDPACK: A Fortran-77 Software Library for the Sparse Singular Value Decomposition
SVDPACK: A Fortran-77 Software Library for the Sparse Singular Value Decomposition
SVDPACKC (Version 1.0) User''s Guide
SVDPACKC (Version 1.0) User''s Guide
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Geometry and Meaning
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Evaluation of utility of LSA for word sense discrimination
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Event detection in blogs using temporal random indexing
eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
The automatic identification of lexical variation between language varieties
Natural Language Engineering
Distributional memory: A general framework for corpus-based semantics
Computational Linguistics
Using topic salience and connotational drifts to detect candidates to semantic change
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Towards tracking semantic change by visual analytics
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Extending the tool, or how to annotate historical language varieties
LaTeCH '11 Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
GEMS '11 Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
Word sense induction for novel sense detection
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Looking at word meaning: an interactive visualization of semantic vector spaces for Dutch synsets
EACL 2012 Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH
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This paper presents a new statistical method for detecting and tracking changes in word meaning, based on Latent Semantic Analysis. By comparing the density of semantic vector clusters this method allows researchers to make statistical inferences on questions such as whether the meaning of a word changed across time or if a phonetic cluster is associated with a specific meaning. Possible applications of this method are then illustrated in tracing the semantic change of 'dog', 'do', and 'deer' in early English and examining and comparing phonaesthemes.