Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
An IR approach for translating new words from nonparallel, comparable texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Identifying word translations in non-parallel texts
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Automatic identification of word translations from unrelated English and German corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Query expansion using term relationships in language models for information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Predicting strong associations on the basis of corpus data
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Automatic essay grading with probabilistic latent semantic analysis
EdAppsNLP 05 Proceedings of the second workshop on Building Educational Applications Using NLP
Bootstrapping distributional feature vector quality
Computational Linguistics
CACLA '07 Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition
Semantic density analysis: comparing word meaning across time and phonetic space
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
Recognizing textual entailment: is word similarity enough?
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
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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Languages are not uniform. Speakers of different language varieties use certain words differently – more or less frequently, or with different meanings. We argue that distributional semantics is the ideal framework for the investigation of such lexical variation. We address two research questions and present our analysis of the lexical variation between Belgian Dutch and Netherlandic Dutch. The first question involves a classic application of distributional models: the automatic retrieval of synonyms. We use corpora of two different language varieties to identify the Netherlandic Dutch synonyms for a set of typically Belgian words. Second, we address the problem of automatically identifying words that are typical of a given lect, either because of their high frequency or because of their divergent meaning. Overall, we show that distributional models are able to identify more lectal markers than traditional keyword methods. Distributional models also have a bias towards a different type of variation. In summary, our results demonstrate how distributional semantics can help research in variational linguistics, with possible future applications in lexicography or terminology extraction.