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Pérez-Paredes

Corpus linguistics, applied linguistics & technology in language education

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Featured research paper

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Out now: "Future Challenges and Opportunities for Data-Driven Learning" with @languagecopora @carlosordonana.bsky.social #corpuslinguistics #languagelearning an entry in The Palgrave Encyclopedia of Computer-Assisted Language Learning. doi.org/10.1007/978-... Thanks to the editors and reviewers.

— Pascual Pérez-Paredes (@perez-paredes.bsky.social) 2025-03-31T04:40:52.874Z

Selected papers

Exploring Part of Speech (POS)-tag sequences in a large-scale learner corpus of L2 English

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Category: analysis of language

Getting things done at the crossroads of corpus linguistics and language education

My 2011 AESLA keynote rountable presentationAesla 2011 getting_things_done_pascual_pérez-paredes

View more presentations from Pascual Pérez-Paredes.
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Posted on 29th March 2012Categories analysis of language, applied linguistics, Backbone, conferences, congresos, Corpora for Content and Language Integrated Learning, investigación, research project, SACODEYL Annotator

A review of Bhatia, Sánchez Hernández & Pérez-Paredes

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Posted on 15th March 2012Categories analysis of language, applied linguistics, corpus linguistics, investigación, research, research at UM

A review of Bhatia, Sánchez Hernández & Pérez-Paredes

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Posted on 15th March 2012Categories analysis of language, applied linguistics, corpus linguistics, investigación, research, research at UM

BACKBONE Annotator 3.8 featured on Softpedia

BACKBONE Annotator 3.8 featured on Softpedia

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Posted on 29th February 2012Categories analysis of language, Backbone, Corpora for Content and Language Integrated Learning, corpus linguistics, Java

BACKBONE Annotator 3.8 featured on Softpedia

BACKBONE Annotator 3.8 featured on Softpedia

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Posted on 29th February 2012Categories analysis of language, Backbone, Corpora for Content and Language Integrated Learning, corpus linguistics, Java

An NLP approach to sentiment analysis

NLTK is becoming a very interesting tool for NLP-based analysis of language. In this post we find an easy-to-follow account of how Python can be used to track sentiment.

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Posted on 3rd January 2012Categories analysis of language, NLTK, research, sentiment

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