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Social Media and Language Processing: How Facebook and Twitter Provide the Best Frequency Estimates for Studying Word Recognition
Corpus‐based word frequencies are one of the most important predictors in language processing tasks. Frequencies based on conversational corpora (such as movie subtitles) are shown to better capture the variance in lexical decision tasks compared to traditional corpora. In this study, we show that f...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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John Wiley and Sons Inc.
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5484375/ https://www.ncbi.nlm.nih.gov/pubmed/27477913 http://dx.doi.org/10.1111/cogs.12392 |