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The Social Origins of Language

By Daniel Dor

Presents a new theoretical framework for the origins of human language and sets key issues in language evolution in their wider context within biological and cultural evolution


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Preposition Placement in English: A Usage-Based Approach

By Thomas Hoffmann

This is the first study that empirically investigates preposition placement across all clause types. The study compares first-language (British English) and second-language (Kenyan English) data and will therefore appeal to readers interested in world Englishes. Over 100 authentic corpus examples are discussed in the text, which will appeal to those who want to see 'real data'


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Free Access 4 You

Free access to several Brill linguistics journals, such as Journal of Jewish Languages, Language Dynamics and Change, and Brill’s Annual of Afroasiatic Languages and Linguistics.


Academic Paper


Title: Integrating learner corpora and natural language processing: A crucial step towards reconciling technological sophistication and pedagogical effectiveness
Author: Sylviane Granger
Institution: Université Catholique de Louvain
Author: Olivier Kraif
Institution: Université Stendhal - Grenoble 3
Author: Claude Ponton
Institution: Université Stendhal - Grenoble 3
Author: Georges Antoniadis
Institution: Université Stendhal - Grenoble 3
Author: Virginie Zampa
Institution: Université Stendhal - Grenoble 3
Linguistic Field: Applied Linguistics; Computational Linguistics; Text/Corpus Linguistics
Abstract: Learner corpora, electronic collections of spoken or written data from foreign language learners, offer unparalleled access to many hitherto uncovered aspects of learner language, particularly in their error-tagged format. This article aims to demonstrate the role that the learner corpus can play in CALL, particularly when used in conjunction with web-based interfaces which provide flexible access to error-tagged corpora that have been enhanced with simple NLP techniques such as POS-tagging or lemmatization and linked to a wide range of learner and task variables such as mother tongue background or activity type. This new resource is of interest to three main types of users: teachers wishing to prepare pedagogical materials that target learners' attested difficulties; learners themselves for editing or language awareness purposes and NLP researchers, for whom it serves as a benchmark for testing automatic error detection systems.

CUP at LINGUIST

This article appears in ReCALL Vol. 19, Issue 3, which you can read on Cambridge's site or on LINGUIST .



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