Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…

Knowledge regarding social information is commonly believed to be derived from sources such as formal relationships and interviews and can be plotted as complex networks. We explored whether social networks can also be extracted through other means by using language statistics. In three computational studies we computed first-order and…

The goal of this article is to preserve and distribute the information presented at the LASI (2014) workshop on Coh-Metrix, a theoretically grounded, computational linguistics facility that analyzes texts on multiple levels of language and discourse. The workshop focused on the utility of Coh-Metrix in discourse theory and educational practice. We…

As we witness the prosperity of the social media in the past few years, and feel the explosion of "user-generated content" on the Internet, there is little question that we have entered an era of Big Data. Those social media sites, such as Facebook, LinkedIn, Quora and Twitter have been important sources for a wide spectrum of users.…

This study examined teaching SP of English verbs through the data-driven learning (DDL) approach and its effect on learners' vocabulary choice appropriateness in the Persian English foreign language (EFL) context. In the present study, two male intact classes were selected. One of these two classes was randomly selected as a treatment group and…

Research related to online discussions frequently faces the problem of analyzing huge corpora. Natural Language Processing (NLP) technologies may allow automating this analysis. However, the state-of-the-art in machine learning and text mining approaches yields models that do not transfer well between corpora related to different topics. Also,…

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…

Metalinguistic awareness (an awareness about the structure of orthography) had been considered vital for reading acquisition. The awareness of phonological regularity and consistency had been found in advanced readers in recent research. Evidence based on simplified Chinese suggested the effect of semantic transparency on reading in school…

This paper reports a portion of a research effort to develop a program which will simulate the language learning behavior of humans. Here presented is a heuristic parsing procedure which accepts natural language sentences and produces for each a form of analysis called a "labeled dependency tree." The formal grammar on which the…

Examines a computer-based corpus that provides the data for a comprehensive investigation of clitic climbing in written and spoken modern Spanish. The results are based on nearly 15,000 tokens with 32 different main verbs from a computer corpus of 3.5 million words from ten countries. Clitic climbing is more common in spoken than in written…

The report is a frequency analysis of vocabulary and sentence patterns in the English language. The corpora used are a media sample, a discussion session, elicited sentences, and words elicited for frame sentences. The outputs are the following frequency tables: (1) Semantic frequency of combined corpus (media, discussion, elicited sentences)…

The report is a frequency analysis of vocabulary and sentence patterns in the Japanese language. The corpora used are a media sample, a discussion session, elicited sentences, and words elicited for frame sentences. The outputs are the following frequency tables: (1) semantic frequency of combined corpus (media, discussion, elicited sentences)…

The report is a frequency analysis of vocabulary and sentence patterns in the Swahili language. The corpora used are a media sample, a discussion session, elicited sentences, and words elicited for frame sentences. The outputs are the following frequency tables: (1) semantic frequency of combined corpus (media, discussion, elicited sentences)…