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According to Stephen Krashen's acquisition-learning hypothesis, there are two independent ways in which we develop our linguistic skills: acquisition and learning. [3] This theory is at the core of modern language acquisition theory [ citation needed ] , and is perhaps the most fundamental of Krashen's theories.
Questioning the question by: requesting clarification; reflecting the question back to the questioner, for example saying "you tell me" Attacking the question by saying: "the question fails to address the important issue" "the question is hypothetical or speculative" "the question is based on a false premise" "the question is factually inaccurate"
Demonstrations of sentences which are unlikely to have ever been said, although the combinatorial complexity of the linguistic system makes them possible. Colorless green ideas sleep furiously (Noam Chomsky): example that is grammatically correct but based on semantic combinations that are contradictory and therefore would not normally occur.
Prosody is the property of speech that conveys an emotional state of the utterance, as well as the intended form of speech, for example, question, statement or command. Some researchers in the field of developmental neuroscience argue that fetal auditory learning mechanisms result solely from discrimination of prosodic elements.
This area of research is based in the more general area of cognitive science and uses many concepts and models used in more general cognitive theories of learning. As such, cognitive theories view second-language acquisition as a special case of more general learning mechanisms in the brain.
Questions are used from the most elementary stage of learning to original research. In the scientific method , a question often forms the basis of the investigation and can be considered a transition between the observation and hypothesis stages.
Research implies that some un-assessed aspects of onsite and online learning challenge the equivalency of education between the two modalities. Both onsite and online learning have distinct advantages with traditional on-campus students experiencing higher degrees of incidental learning in three times as many areas as online students.
These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence.