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Quedarse quietos (E. Punset)

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Un magnífico artículo de Eduard Punset que reúne ciencia, antropología y sentido común. Muy especialmente de interés para nuestros jóvenes alumnos universitarios.

Quedarse quietos.

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Subjects at UMU

Life in a handful of tags

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corpus linguistics review

Review: Exploring New Paths in Language Pedagogy: Lexis and Corpus-based Language Teaching

A review of María Moreno Jaén, Fernando Serrano Valverde  and María Calzada Pérez, eds. Exploring New Paths in Language Pedagogy: Lexis and Corpus-based Language Teaching. London: Equinox, 2010.

Jesús Nieto García. Revista Canaria de Estudios Ingleses, 64, 2012, 189-192.

Categories
corpus linguistics review

Review: Exploring New Paths in Language Pedagogy: Lexis and Corpus-based Language Teaching

A review of María Moreno Jaén, Fernando Serrano Valverde  and María Calzada Pérez, eds. Exploring New Paths in Language Pedagogy: Lexis and Corpus-based Language Teaching. London: Equinox, 2010.

Jesús Nieto García. Revista Canaria de Estudios Ingleses, 64, 2012, 189-192.

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Subjects at UMU

Verb Phrase book published

See on Scoop.itApplied linguistics and knowledge engineering

The grammar of English is often thought to be stable over time. However a new book, edited by Bas Aarts, Joanne Close, Geoffrey Leech and Sean Wallis, The Verb Phrase in English: investigating recent language change with corpora (Cambridge University Press, 2013) presents a body of research from linguists that shows that using natural language corpora one can find changes within a core element of grammar, the Verb Phrase, over a span of decades rather than centuries.

Pascual Pérez-Paredes‘s insight:

Thanks to Costas Gabrielatos.

See on corplingstats.wordpress.com

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Subjects at UMU

10 R packages every data scientist should know about

See on Scoop.itApplied linguistics and knowledge engineering

The yhat blog lists 10 R packages they wish they’d known about earlier. Drew Conway calls them “10 reasons to always start your analysis in R”. They’re all very useful R packages that every data scientist should be aware of.

See on www.r-bloggers.com