Accessing short-term memory with semantic and phonological information: A time-course analysis

Accessing short-term memory with semantic and phonological information: a time-course analysis.

The time course for accessing short-term memory representations on the basis of item, phonological, and semantic information was measured with a speed-accuracy tradeoff (SAT) variant of a recognition probe task. Subjects studied 5-word lists and then judged whether a test word (1) was in the study list (item judgment); (2) rhymed with a word in the study list (rhyme judgment); or (3) was a syno...

Phonological distinctiveness and phonological short term memory

Proactive interference in a semantic short-term memory deficit: role of semantic and phonological relatedness.

Previous research has indicated that patients with semantic short-term memory (STM) deficits demonstrate unusual intrusions of previously presented material during serial recall tasks (Martin and Lesch, 1996). These intrusions suggest excessive proactive interference (PI) from previous lists. Here, we explore one such patient's susceptibility to PI. Experiment 1 demonstrated patient M.L.'s extr...

‏‎a phonological contrastive analysis of kurdish and english‎‏

deposite the different criticisms on contrastive analysis it has been proved that the results of it(when processed)can be usuful in a tefl environment,specially at the level of phonology.this study is an attempt to compare and contrast the sound systems of kurdish and english for pedagogical aims. the consonants,vowels,stress and intonation of the twolanguages are described by the same model-ta...

Semantic Modelling with Long-Short-Term Memory for Information Retrieval

In this paper we address the following problem in web document and information retrieval (IR): How can we use long-term context information to gain better IR performance? Unlike common IR methods that use bag of words representation for queries and documents, we treat them as a sequence of words and use long short term memory (LSTM) to capture contextual dependencies. To the best of our knowled...