With the development of language corpora, linguists have been able to identify how often specific words, phrases, and expressions are used, and in which contexts. However, applications of corpora in the wider domain of language teaching have remained limited. This article presents an approach to utilizing corpora, combining principles from…

Large scale product and service reviews proliferate and are commonly found across the web. The ability to harvest, digest and analyze a large corpus of reviews from online websites is still however a difficult problem. This problem is referred to as "opinion mining." Opinion mining is an important area of research as advances in the…

Collocations, no matter where to use them, are an important linguistic issue if it is native fluency that is longed for in academic writing. In line with that, the present study aimed at increasing the awareness towards the importance of collocations in order to have native fluency in academic writing; making some suggestions regarding involvement…

The purpose of this ethnographic case study was to study the language development of 4-year-old emergent bilinguals in a bilingual (Spanish/English) Head Start classroom with flexible language practices. Data were collected throughout the 10-month school year by visiting the classroom 2-3 times per week. Data include: field notes (observations and…

Previous research has demonstrated how young children can identify the signal in data. In this exploratory study we considered how they might also express meanings for noise when creating computational models using recent developments in software tools. We conducted extended clinical interviews with four groups of 11-year-olds and analysed the…

This study attends to the possibilities of analyzing students' writings at a lexicogrammatical level in terms of their use of linguistic resources, and the insights afforded by this approach into the challenges students faced when they employed the language of school science related to the phenomenon of expansion. For the purpose of this study,…

Topic models like latent Dirichlet allocation (LDA) provide a framework for analyzing large datasets where observations are collected into groups. Although topic modeling has been fruitfully applied to problems social science, biology, and computer vision, it has been most widely used to model datasets where documents are modeled as exchangeable…

With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the…

In this case study, all parental talk directed to a young child with autism at home over a 3-day period was analyzed for internal state (IS) language, which explicitly focuses upon the thoughts, feelings, and perceptions of animate beings. The mother and father used IS terms in 33% and 24% of their utterances, respectively, with sensory and desire…

It is cross-linguistically common for languages to undergo a diachronic increase in the range of adverbial notions that can be expressed by means of infinitival constructions, and the Romance languages are a good example of this process. Examining the development of adverbial "prepositional infinitive" constructions in Spanish, Portuguese and…