This article discusses a pilot project aimed at giving tertiary students wider repertoire of resources to use in language learning, with particular focus on Italian. responds the exponential increase and access online data potential value such represent for studying additional languages level. By examining whether current are aware resources, as linguistic corpora other applications big data, w...

The IFCASL corpus is a French-German bilingual phonetic learner corpus designed, recorded and annotated in a project on individualized feedback in computer-assisted spoken language learning. The motivation for setting up this corpus was that there is no phonetically annotated and segmented corpus for this language pair of comparable of size and coverage. In contrast to most learner corpora, the...

this article reports part of the results of a research conducted at lorestan university of medical sciences in 1389. the study aimed at comparing the employee performance appraisal results in terms of current methods and 360-degree feedback and examining their possible relationship with employee satisfaction. accordingly, based on the nature of research, the sample was taken from four groups: s...

The notion of usage-based linguistics is becoming more and more central in cognitively-inspired linguistics. One corollary of this is that there is an increasing number of studies that are based on authentic usage data from corpora, broadening the range of evidence against which theories are tested. This is generally a welcome improvement of methodological standards, but the choice of using cor...

This paper reports the findings of a case study in which audio feedback replaced text-based feedback in asynchronous courses. Previous research has demonstrated that participants in online courses can build effective learning communities through text based communication alone. Similarly, it has been demonstrated that instructors for online courses can adequately project immediacy behaviors usin...

Most state of the art approaches for Named Entity Recognition rely on hand crafted features and annotated corpora. Recently Neural network based models have been proposed which do not require handcrafted features but still require annotated corpora. However, such annotated corpora may not be available for many languages. In this paper, we propose a neural network based model which allows sharin...

Investigating language acquisition by non-native learners helps to understand important linguistic issues and develop teaching methods, better suited both to the specific target language and to the learner. These tasks can now be based on empirical evidence from learner corpora. A learner corpus consists of language produced by language learners, typically learners of a second or foreign langua...

This paper proposes a new index for the relevance of terms extracted from domain corpora. We call it term frequency, disjoint corpora frequency (tf-dcf ), and it is based on the absolute term frequency of each term tempered by its frequency in other (contrasting) corpora. Conceptual differences and mathematical computation of the proposed index are discussed in respect with other similar approa...

Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find similar images in an image database. Relevance feedback is often used in a CBIR system to help users express their preference and improve query results. Traditional relevance feedback relies on positive and negative exampl...

Interactive theorem provers have been used extensively to reason about various software/hardware systems and mathematical theorems. The key challenge when using an interactive prover is finding a suitable sequence of proof steps that will lead to a successful proof requires a significant amount of human intervention. This paper presents an automated technique that takes as input examples of suc...