This update to Garrett (1991), “Technology in the Service of Language Learning: Trends and Issues,” explores current uses of technology to facilitate the teaching and assessment of second languages. In this article, I discuss the changes that have taken place over the last 18 years regarding selected topics from the 1991 article, including the relationship between pedagogy, theory, and technolo...

BACKBONE is a European LLP/Languages project (1) (Jan 2009 Feb 2011), whose overall objective is to provide foreign language teachers in CLIL settings with innovative language learning solutions. To achieve this goal, pedagogic corpora of spoken interviews are combined with corpus-related e-learning activities in blended learning scenarios. The seven BACKBONE corpora contain video interviews in...

あらまし 音声認識・合成に関する技術はこの十年ほどの間に大きな進歩を遂げており,言語学習支援 (CALL) システムに関しても,発音の自動評定や模擬会話訓練などの新たな可能性を広げている.音声分析・認識・合成 技術を利用した CALLには,音韻的な観点と韻律的な観点がある.非母語話者の音声を正確に区分化・認識しな がら,そこに含まれる誤りを検出するためのモデル化には多くの課題がある.本論文では,これらの課題と現在 の方法論に関して概観を行う.まず,発音学習支援における音韻的な発音評定と誤り検出に関して,音声認識技 術に基づく方法について述べる.統計的なアプローチの定式化を行い,非母語話者の音響・発音レベルのモデル 化について述べる.次に,継続長や強勢・トーンなどの韻律的なモデル化と評価について述べる.更に,テキス ト音声合成,分析合成,モーフィングなどの音声合成技術の利用についても述...

Instructional grammar is often used in Computer-assisted Language Learning (CALL) and the grammatical error detection is an important feature. However, it is not an easy task in Chinese language. There is no delimiter separating consecutive words in Chinese sentences. Word segmentation is a process in which proper word boundaries are identified. Before syntactic parsing of a Chinese sentence, w...

Although Computer-Assisted Translation (CAT) tools play an important role in the curriculum in many university translator training programmes, they are seldom used in the context of learning a language, as a good command of a language is needed before starting to translate. Since many institutions often have translator-training programmes as well as language-learning programmes within one depar...

The correct use of collocations is one of the most difficult tasks that the student faces when learning a second language, such that one of the goals of Computer Assisted Language Learning (CALL) is to develop programs that aim to identify collocation errors in learners’ writings and propose corrections. However, while statistical models currently used by most of these programs still manage to ...

Nowadays computers are increasingly being incorporated into school curriculums and serious games are occupying the educational games markets. This article addressed the integration of serious games as tools for learning and teaching English in Iranian schools to zero-beginner students. An experiment was concluded using Computer Assisted Language Learning (CALL) to investigate the effectiveness ...

Instructional grammar is often used in Computer-assisted Language Learning (CALL) and the grammatical error detection is an important feature. However, it is not an easy task in Japanese language. There is no delimiter separating consecutive words in Japanese sentences. Word segmentation is a process in which proper word boundaries are identified. Before syntactic parsing of a Japanese sentence...

As an application of NLP to computer-assisted language learning(CALL) , we propose a diagnostic processing of Japanese being able to detect errors and inappropriateness of sentences composed by the students in the given situation and the context of the exercise texts. Using LTAG(Lexicalized Tree Adjoining Grammar) formalism, we have implemented a prototype of such a diagnostic parser as a compo...

This chapter intends to demonstrate how Applicative and Combinatory Categorial Grammar (ACCG) can be drawn on to design powerful software applications for the teaching of languages. To this end, the authors present some modules from their “pictographic translator,” software that performs syntactical analysis of sentences in natural language directly written by the user, and then dynamically dis...