Featured Linguist!

Jost Gippert: Our Featured Linguist!

"Buenos dias", "buenas noches" -- this was the first words in a foreign language I heard in my life, as a three-year old boy growing up in developing post-war Western Germany, where the first gastarbeiters had arrived from Spain. Fascinated by the strange sounds, I tried to get to know some more languages, the only opportunity being TV courses of English and French -- there was no foreign language education for pre-teen school children in Germany yet in those days. Read more



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What is English? And Why Should We Care?

By: Tim William Machan

To find some answers Tim Machan explores the language's present and past, and looks ahead to its futures among the one and a half billion people who speak it. His search is fascinating and important, for definitions of English have influenced education and law in many countries and helped shape the identities of those who live in them.


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Medical Writing in Early Modern English

Edited by Irma Taavitsainen and Paivi Pahta

This volume provides a new perspective on the evolution of the special language of medicine, based on the electronic corpus of Early Modern English Medical Texts, containing over two million words of medical writing from 1500 to 1700.


Academic Paper


Title: Advancing research in second language writing through computational tools and machine learning techniques: A research agenda
Author: Scott A. Crossley
Institution: Georgia State University
Linguistic Field: Applied Linguistics; Computational Linguistics
Abstract: This paper provides an agenda for replication studies focusing on second language (L2) writing and the use of natural language processing (NLP) tools and machine learning algorithms. Specifically, it introduces a range of the available NLP tools and machine learning algorithms and demonstrates how these could be used to replicate seminal studies in L2 writing that concentrate on longitudinal writing development, predicting essay quality, examining differences between L1 and L2 writers, the effects of writing topics, and the effects of writing tasks. The paper concludes with implications for the recommended replication studies in the field of L2 writing and the advantages of using NLP tools and machine learning algorithms.

CUP at LINGUIST

This article appears in Language Teaching Vol. 46, Issue 2, which you can read on Cambridge's site or on LINGUIST .



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