Word Association Norms, Mutual Information, and Lexicography
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Summary
The proposed measure, the association ratio, estimates word association norms directly from computer readable corpora, making it possible to estimate norms for tens of thousands of words.
- Type
- article
- Published
- 1990-03-01
- Cited by
- 71
- References
- 19
- OpenAlex
- https://openalex.org/W1593045043
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:267926012
Keywords
Word Association, Word (group theory), Computer science, Association (psychology), Variety (cybernetics)
References
- Parsing, Word Associations and Typical Predicate-Argument Relations
- A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text
- Transmission of information : a statistical theory of communications
- THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS
- On the Recognition of Printed Characters of Any Font and Size
- Deterministic Parsing of Syntactic Non-fluencies
- A Synopsis of Linguistic Theory, 1930-1955
- Book Reviews: Looking Up: An Account of the COBUILD PROJECT IN LEXICAL COMPUTING
- Microcoding the Lexicon with Co-occurrence Knowledge
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- Scale-invariant transition probabilities in free word association trajectories
- Automatic Acquisition of Qualia Structure from Corpus Data
- Are they Our Brothers? Analysis and Detection of Religious Hate Speech in the Arabic Twittersphere
- Contributions to speech analytics based on speech recognition and topic identification
- Combining unsupervised lexical knowledge methods for word sense disambiguation
- Harnessing relationships for domain-specific subgraph extraction: A recommendation use case
- Knowledge Enabled Location Prediction of Twitter
- ON THE CONNECTIVITY OF ENTITY PAIRS IN KNOWLEDGE BASES
- Appendix to "Measuring Central Bank Communication: An Automated Approach with Application to FOMC Statements"
- UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL INSTITUTO DE INFORMÁTICA PROGRAMA DE PÓS-GRADUAÇÃO EM COMPUTAÇÃO
- In front of the lens : the expectations, experiences, and reactions of visual journalism's subjects
- Thematic segmentation of texts
- How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
- Twitter Analysis to Predict the Satisfaction of Saudi Telecommunication Companies’ Customers
- Tuning a Corpus Analysis Approach for Automatic Query Expansion
- Modeling Attachment Decisions with a Probabilistic Parser: The Case of Head Final Structures
- Autism_genepheno: Text mining of gene-phenotype associations reveals new phenotypic profiles of autism-associated genes
- SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning
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