Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Approaching Language Transfer through Text Classification : Explorations in the Detection-based Approach, Paperback / softback Book

Approaching Language Transfer through Text Classification : Explorations in the Detection-based Approach Paperback / softback

Edited by Scott Jarvis, Scott A. Crossley

Part of the Second Language Acquisition series

Paperback / softback

Description

Recent work has pointed to the need for a detection-based approach to transfer capable of discovering elusive crosslinguistic effects through the use of human judges and computer classifiers that can learn to predict learners' language backgrounds based on their patterns of language use.

This book addresses that need. It details the nature of the detection-based approach, discusses how this approach fits into the overall scope of transfer research, and discusses the few previous studies that have laid the groundwork for this approach.

The core of the book consists of five empirical studies that use computer classifiers to detect the native-language affiliations of texts written by foreign language learners of English.

The results highlight combinations of language features that are the most reliable predictors of learners' language backgrounds.

Information

Save 13%

£29.95

£25.89

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

Also in the Second Language Acquisition series  |  View all