It is widely believed that the major purpose of foreign language learning is to master the speaking skill of that language. Learners even evaluate their foreign language learning on the basis of their achievement in speaking proficiency. This study discusses different teaching methodologies aimed at the development of task-based language learning, drama and the manifestation of scenario-based t...

In this paper, we explore multilingual feature-level data sharing via Deep Neural Network (DNN) stacked bottleneck features. Given a set of available source languages, we apply language identification to pick the language most similar to the target language, for more efficient use of multilingual resources. Our experiments with IARPA-Babel languages show that bottleneck features trained on the ...

Bilingual corpora offer a promising bridge between resource-rich and resource-poor languages, enabling the development of natural language processing systems for the latter. English is often selected as the resource-rich language, but another choice might give better performance. In this paper, we consider the task of unsupervised cross-lingual POS tagging, and construct a model that predicts t...

While it is has often been observed that the product of translation is somehow different than non-translated text, scholars have emphasized two distinct bases for such differences. Some have noted interference from the source language spilling over into translation in a source-language-specific way, while others have noted general effects of the process of translation that are independent of so...

In this paper, we address the problem of defining a source-to-source translation system for reusable software components. We design an interoperable language for writing software components, and present a system to translate components written in the interoperable language to a set of compatible target languages. We analyze the common features in a set of popular programming languages to inform...

Cross-lingual text classification is a major challenge in natural language processing, since often training data is available in only one language (target language), but not available for the language of the document we want to classify (source language). Here, we propose a method that only requires a bilingual dictionary to bridge the language gap. Our proposed probabilistic model allows us to...

this study aims to examine how the poetry of mamduh udvan was affected by quranic inspirations and show how the high language and noble meanings of the quran enhanced the modern poetry to artistic levels. this search for inspiration in udvan’s poetry has different manifestations examples of which are provided at two levels in this article: 1) lexical levels in which the poet resort to quranic l...

I will discuss the application of redundancy-sorting techniques to the resolution of semantic problems. I must leave it to you to decide whether or not these techniques actually deal with semantic problems. I believe they do, even though this paper describes a manual of operation for a computer program. I should perhaps explain that the term "redundancy sorting" refers to a battery of data-proc...