of language representation and control

Brain bases of language selection: MEG evidence from

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Bilingual language production is widely believed to be a competitive process. Bilinguals may manage this competition by relying on inhibiting one language while speaking in the other. However, it remains unclear if this process relies on domain general inhibitory mechanisms, and, if so, when

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, showing that error rates will depend on the corpus considered; however, both were small enough to hope that the method will be useful for many language pairs. To further research on bilingual corpora, a much larger sample of Canadian Hansards (approximately 90 million words, half in English and and half

Recent research suggests that bilinguals cope with non-target language interference by recruiting “executive function ” brain areas. However, it remains unclear whether all bilinguals are able to prevent interference to the same extend. In this project, 30 bilingual speakers of Russian and German

"Meaning " may be assigned to a string in a context-free language by defining "at-tributes " of the symbols in a derivation tree for that string. The attributes can be de-fined by functions associated with each production in the grammar. This paper examines the implications

SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow both production of and experimentation with statistical language models for speech recognition and other applications. SRILM is freely available for noncommercial purposes. The toolkit supports

. However, the development of specialized software is time-consuming, and is likely to exceed the production of today’s programmers. New techniques are required to solve this so-called software crisis. Partial evaluation is a program specialization technique that reconciles the benefits of generality