The present study investigated the effect of classroom-based syntactic training on children's abilities to produce passive sentences. Thirty-three monolingual English children (mean age 5;2), were involved in passive-voice training based on storytelling sessions within a priming design. The training was delivered in a classroom setting, with two…

This research report provides an overview of the R&D efforts at Educational Testing Service related to its capability for automated scoring of nonnative spontaneous speech with the "SpeechRater"? automated scoring service since its initial version was deployed in 2006. While most aspects of this R&D work have been published in…

The current study examined the degree to which the quality and characteristics of students' essays could be modeled through dynamic natural language processing analyses. Undergraduate students (n = 131) wrote timed, persuasive essays in response to an argumentative writing prompt. Recurrent patterns of the words in the essays were then analyzed…

Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…

This article reports on a study that investigated whether processing instruction(PI) or production-based instruction (PBI) is more effective for the teaching of regular past simple verb forms in English. In addition, this study examined whether explicit grammatical information (EI) mediates the effectiveness of PI or PBI. A total of 194 Turkish…

This study presents the results of four experiments in the framework of processing instruction conducted with four language learner groups (Spanish, "n"?=?43; German, "n"?=?46; Russian, "n"?=?44; and French, "n"?=?48; discussed in that order). In each experiment, the processing problem was held constant (the…

Marking number/gender agreement on Hebrew adjectives is a case in point: It is a challenging task requiring lexical and grammatical insight, a well-known source of processing errors in Hebrew usage. The current study examined impaired processing of noun and adjective inflection in adult speakers of Hebrew with dyslexia. Thirty normally reading…

Syntactic structure has been considered an integral component of agreement computation in language production. In agreement error studies, clause-boundedness (Bock & Cutting, 1992) and hierarchical feature-passing (Franck, Vigliocco, & Nicol, 2002) predict that local nouns within clausal modifiers should produce fewer errors than do those within…

The Katzenberger Hebrew Language Assessment for Preschool Children (henceforth: the KHLA) is the first comprehensive, standardized language assessment tool developed in Hebrew specifically for older preschoolers (4;0-5;11 years). The KHLA is a norm-referenced, Hebrew specific assessment, based on well-established psycholinguistic principles, as…

This report presents work on the development of a new corpus of non-native English writing. It will be useful for the task of native language identification, as well as grammatical error detection and correction, and automatic essay scoring. In this report, the corpus is described in detail.

Research on input processing in the acquisition of a non-primary language has rested largely on the assumption that learners use a meaning-based approach as the "default" when processing input (VanPatten, 1996). The study reported here poses a challenge to this assumption: findings show that participants who were absolute beginners used a…

The article reports on a comparative study of the abilities of aphasic speakers and normal control subjects to comprehend and produce verbs and sentences. The analysis is based on test results obtained as part of the standardization procedure for a test battery originally developed for Dutch and since translated and adapted for English and…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…