In 1967, more than fifty years ago, Corder introduced the concept of “input” in second language acquisition (SLA) research field. 1985, Krashen “comprehensible input hypothesis.” 1990, Schmidt “noticing hypothesis” [1]. Today, is becoming and popular on acquisition. This paper tries to connect theories about noticing hypothesis hope that clear definition can be helpful guide teaching accordingly.

The originator of the comprehensible output hypothesis, Merrill Swain (Swain, 1985), does not claim that CO is responsible for all or even most of our language competence. Rather, the claim is that "sometimes, under some conditions, output facilitates second language learning in ways that are different form, or enhance, those of input" (Swain and Lapkin, 1995, p. 371). A look at the data, howev...

Why is the universe comprehensible? How it that we can come to know its regularities well enough exploit them for our own gain? In this essay I argue nature of comprehension lies in mutually agreed upon methodology use attain and on basic stability universe. But also very act itself places constraints what comprehend by forcing us establish a context knowledge. way has managed conspire make obj...

Text compression by inferring a phrase hierarchy from the input is a recent technique that shows promise both as a compression scheme and as a machine learning method that extracts some comprehensible account of the structure of the input text. Its performance as a data compression scheme outstrips other dictionary schemes, and the structures that it learns from sequences have been put to such ...

The critics of the Comprehension Hypothesis (as presented e.g. in Krashen, 1985) have long held the belief that comprehension-based methods are inefficient. Even though they have conceded that they are more effective than the traditionally used methods and that comprehensible input is necessary for language acquisition, they still claim that the combination of both traditional and comprehension...

A fuzzy rule based system equivalent to an ANN is presented in this work. The inputs of this system are the input variables of the ANN and it uses fuzzy unions in the if-part of their fuzzy rules. Thus, the knowledge inside this system is comprehensible.