To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure email@example.com
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Learning a second language (L2) implies the incorporation of its words into a lexicon that already contains words of the native language (L1). This chapter considers whether special mechanisms must protect L2 learning in its early stages, how learning the L2 early or late affects the organization of and access to bilingual memory, and how “special” words, like cognates and false friends, are acquired and processed. In addition, it examines the role of competition (inhibition) mechanisms in L2 word learning and L2 word identification according to localist and distributed connectionist models. Simulations with a localist model show that it can account for orthographic aspects of L2 acquisition without assuming any special mechanisms beyond lateral inhibition. The model differentiates the development of the L2 lexicon into stages of sequential or simultaneous L1/L2 learning for various types of words. Simulations with a distributed model show that cognate facilitation and false friend interference effects can be understood not only in terms of an on-line identification perspective but also from a learning perspective. A theoretical comparison of model types concludes the chapter.