نتایج جستجو برای: corpora based feedback

تعداد نتایج: 3047518  

Background. Several researchers have studied the effects of type of feedback on learning motor skills, but there are few studies on the interaction between personality traits and the type of feedback. Objectives. This study aimed at investigating the effect of type of feedback on intrinsic motivation and learning volleyball jump serve in students with neuroticism. Methods. A total of 59 femal...

Journal: :Revista Brasileira de Linguística Aplicada 2011

Journal: :Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin 1854

2012
Pablo Gamallo Marcos Garcia Santiago Fernández-Lanza

Building shallow semantic representations from text corpora is the first step to perform more complex tasks such as text entailment, enrichment of knowledge bases, or question answering. Open Information Extraction (OIE) is a recent unsupervised strategy to extract billions of basic assertions from massive corpora, which can be considered as being a shallow semantic representation of those corp...

Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process. It is an attempt to create modules automatically that would help speed up the process of classification for any text categorization task. It also serves as a tool for...

English language teaching (ELT) writing practitioners have long attempted to improve EFL/ESL learners’ competence in writing with recourse to either instruction or feedback. Likewise, researchers have, to date, mainly focused on either of these treatments to enhance language learners’ composing ability. Which treatment leads to more significant improvements is, however, unclear. Moreover, of th...

2009
Junichi Yamagishi Bela Usabaev Simon King Oliver Watts John Dines Jilei Tian Rile Hu Keiichiro Oura Keiichi Tokuda Reima Karhila Mikko Kurimo

Our recent experiments with HMM-based speech synthesis systems have demonstrated that speaker-adaptive HMM-based speech synthesis (which uses an ‘average voice model’ plus model adaptation) is robust to non-ideal speech data that are recorded under various conditions and with varying microphones, that are not perfectly clean, and/or that lack of phonetic balance. This enables us consider buildi...

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