2 resultados para learning on the job

em Universidad de Alicante


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This article deals with the ongoing debate on the complex role of English as an International Language, be it understood as a homogeneous entity (one language with an international role [EIL]) or a heterogeneous one (different varieties (WE or ELF) grouped under one label, «English») as well as on the implications of this «globalising» status for its teaching in non-native settings. Given the complexity of this phenomenon, whose study is still in its infancy, we attempt neither to provide definitive answers nor adopt a prescriptive attitude, but simply contribute to the discussion and clarification of this, to some extent, emergent, controversial situation.

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We present and evaluate a novel supervised recurrent neural network architecture, the SARASOM, based on the associative self-organizing map. The performance of the SARASOM is evaluated and compared with the Elman network as well as with a hidden Markov model (HMM) in a number of prediction tasks using sequences of letters, including some experiments with a reduced lexicon of 15 words. The results were very encouraging with the SARASOM learning better and performing with better accuracy than both the Elman network and the HMM.