Vocabulary growth is an important element for language learning but it requires repeated and varied exposure to the new words and their usage in different context. However preparing suitable learning content for effective language learning remains a challenging and time-consuming task. This paper reports the experience of designing and developing a m-Learning platform (named LingoSnacks) for se...

Our research centers around exploring methodologies for developing reusable software, and developing methods and tools for building inter-enterprise information systems with reusable components. In this paper, we focus on an experiment in which different component indexing and retrieval methods were tested. The results are surprising. Earlier work had often shown that controlled vocabulary inde...

Phonological skills, language ability, and literacy scores were compared for four groups: 19 children with mild-to-moderate sensorineural hearing loss (SNH), 20 children with specific language impairment (SLI), 20 controls matched on chronological age to the SNH group (CA), and 15 controls matched on receptive vocabulary level to a subset of the SLI group (CB). In common with the SLI group, mea...

New challenges are coming in the present globalized world of 21 th century that consequently has required deep changes in educational process, since the 21 th century requires more creativity, critical thinking, problem solving as well as communicative skills. English, as the main international language, is playing an important role in the globalized world's people's life, so the scholars try t...

A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach was based on an SVM algorithm, while the latter comprised string-matching between a controlled vocabulary and words in the text to be classified. Data collection consisted of a subset from Compendex, classified into s...

Today, most systems use large vocabulary continuous speech recognition tools to produce word transcripts which have indexed transcripts and query terms retrieved from the index. However, query terms that are not part of the recognizer’s vocabulary cannot be retrieved, thereby affecting the recall of the search. Such terms can be retrieved using phonetic search methods. Phonetic transcripts can ...

Children experience several difficulties retrieving information using current Information Retrieval (IR) systems. Particularly, children struggle to find the right keywords to construct queries given their lack of domain knowledge. This problem is even more critical in the case of the specialized health domain. In this work we present a novel method to address this problem using a cross-media s...

This paper presents a large vocabulary automatic chord estimation system implemented using a bidirectional long short-term memory recurrent neural network trained with a skewed-class-aware scheme. This scheme gives the uncommon chord types much more exposure during the training process. The evaluation results indicate that: compared with a normal training scheme, the proposed scheme can boost t...

In call centers, since callers range from novices to experts with respect to what they are asking about, callers should be treated differently depending on their knowledge levels. To extract dialogues of callers with a certain knowledge level for an analysis, we propose a method to estimate callers’ levels of knowledge. We focus on features related to vocabulary, utterance timing and duration, ...

Bilingual news article alignment methods based on multilingual information retrieval have been shown to be successful for the automatic production of so-called noisy-parallel corpora. In this paper we compare the use of machine translation (MT) to the commonly used dictionary term lookup (DTL) method for Reuter news article alignment in English and Japanese. The results show the trade-off betwe...