الصفحة 1
الصفحة 1
English proofreader
Using Natural Language Processing via Deep Learning, we will attempt to implement a context-sensitive spelling error correction system focused on casual text messaging. For example, usual autocorrect systems will not correct a sentence like “An apple is better than a banana” as this is a syntactically correct sentence. However, a correction should be made here to the word “then” and the sentence should be, “An apple is better than a banana.” These types of mistakes are common in people texting and can be found for example in people learning English as a second language. Natural Language Processing can be summarized as combining the utilization of computation to understand the concepts of natural language and speech.
Beliefs about SLA : New Research Approaches
This edited collection of articles illustrates more recent work on beliefs about SLA, drawing on the thinking of (educational) philosophers and (discursive) psychologists, including Dewey, Bakhtin, Vygotsky, and Potter.
