Education researchers have traditionally faced severe data limitations in studying local policy variation; administrative datasets capture only a fraction of districts' policy decisions, and it can be expensive to collect more nuanced implementation data from teachers and leaders. Natural language processing and web-scraping techniques can help…

Humans can pronounce a nonword (e.g., rint). Some researchers have interpreted this behavior as requiring a sequential mechanism by which a grapheme-phoneme correspondence rule is applied to each grapheme in turn. However, several parallel-distributed processing (PDP) models in English have simulated human nonword reading accuracy without a…

The current study tackles a long standing question of whether comprehenders perform structural revision when it is not forced by grammar or not. Using an eye-tracking reading paradigm, we addressed this issue by making use of global structural ambiguity in Japanese. Our results show that comprehenders initially associate a relative clause with the…

Corpus-based word frequencies are one of the most important predictors in language processing tasks. Frequencies based on conversational corpora (such as movie subtitles) are shown to better capture the variance in lexical decision tasks compared to traditional corpora. In this study, we show that frequencies computed from social media are…

Models of written word recognition in languages using the Roman alphabet assume that a word's visual form is quickly mapped onto abstract units. This proposal is consistent with the finding that masked priming effects are of similar magnitude from lowercase, uppercase, and alternating-case primes (e.g., beard-BEARD, BEARD-BEARD, and BeArD-BEARD).…

Two experiments investigated two-year-olds' retention and generalization of novel words across short and long time delays. Specifically, retention of newly learned words and generalization to novel exemplars or novel contexts were tested 1 min or 1 week after learning. Experiment 1 revealed successful retention as well as successful generalization…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…

Extant research has compared the processing of affectively laden words between L1 and L2. However, most studies used verbal stimuli that were validated for a single language or for both languages but using independent samples. We systematically compared ratings of valence, emotional intensity and subjective familiarity of negative, neutral,…

The competence in identifying and comprehending the meaning of idiomatic expressions developed at an early age. However, second language learners reach the comprehension skill differently within the age and at pace. There are many unresolved questions regarding the age which children start to comprehend L2 idioms. The objective of this study was…

Open Educational Resources (OER) aim to provide equal access to education. Yet, as the language level used in OER presents a barrier to many learners, there is a need to make these resources more comprehensible. This study combined eye-tracking methodology and comprehension assessment to explore the effect of text simplification on English second…

This paper reports on an empirical experiment in which a group of MA student translators justified their translation solutions. The aim of the work was to determine to what extent students rely on their theoretical knowledge of translation in their justifications and use the metalanguage of the field. The data consists of transcribed…

The neck-breaking changes imposed by the process of globalization demand a reconsideration of the mundane scholarly dealings. The constant need for communication in a scientific area to keep pace with the continuing advancements and the newly published research works, mainly in the Speech-language Pathology branch, pushes the researcher to look…

In embodied theories of semantic representation, the processes and mechanisms of modal simulations that are engaged during semantic processing have tended to be underspecified. We investigated the possibility that motor imagery may be a mechanism of simulation, using an individual differences approach. In this preregistered study, we assessed…

The main purpose of the study is to develop a prototype of Google Dialog Flow (Dialog flow) for interacting with in-service school teachers on the content relating to the classroom research. The project has been carried out since the early of May 2020 and is still ongoing. This paper presenting the progress report as of October 2020 focuses on the…