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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
