A model that maps the requisite skills, or knowledge components, to the contents of an online course is necessary to implement many adaptive learning technologies. However, developing a skill model and tagging courseware contents with individual skills can be expensive and error prone. We propose a technology to automatically identify latent…

Purpose: This study examined the extent to which prelingual cochlear implant (CI) users show a slowed speaking rate compared with typical-hearing (TH) talkers when repeating various speech stimuli and whether the slowed speech of CI users relates to their immediate verbal memory. Method: Participants included 10 prelingually deaf teenagers who…

The present study investigates how L2 learners adapt their production preferences following immediate and cumulative experience with a syntactic structure when an L2 structure differs from an L1 structure in terms of verb subcategorization frame and argument structure. Korean learners of English described causative events in English in a…

The spoken word production process includes four identifiable stages: conceptualization, lexical selection, form encoding, and articulation. This dissertation studies the spoken word production process of producing Mandarin monosyllabic words, focusing on lexical selection and form encoding. The Chinese languages, including Mandarin, differ from…

Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec -- which have been extremely successful in modern natural language processing (NLP) applications -- count? Although these models often have ample parametric complexity to store exemplars from their training data, they also…

Machine learning algorithms that automatically score scientific explanations can be used to measure students' conceptual understanding, identify gaps in their reasoning, and provide them with timely and individualized feedback. This paper presents the results of a study that uses Hebrew NLP to automatically score student explanations in Biology…

Second language implicit learning research has shown that a variety of linguistic features can be acquired without awareness. However, this research overwhelmingly uses comprehension tests to measure implicit learning. It remains unclear whether newly acquired implicit knowledge can also be recruited for production. To address this question, we…

Lexical access is highly contextual. For example, vowel (rime) information is prioritized over tone in the lexical access of isolated words in Mandarin Chinese, but these roles are flipped in constraining contexts. The time course of these contextual effects remains unclear, and so here we tracked the real-time eye gaze of native Mandarin speakers…

Research has indicated that school aged (6-16 years) versions of cognitive assessment instruments have varying levels of linguistic demand, which could impact assessment results for placement purposes. However, a significant limitation to this research is the fact that it has not been replicated with cognitive assessment instruments used in…

We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine the trajectory of semantic space used during group idea generation sessions. Specifically, we track and estimate the region of semantic space being used and the degree to which new…

Conflicts play an important role to improve group learning effectiveness; they can be decreased, increased, or ignored. Given the sequence of messages of a collaborative group, we are interested in recognizing conflicts (detecting whether a conflict exists or not). This is not an easy task because of different types of natural language…

Aptitude testing is used to select candidates with the greatest potential for professional interpreter training. Implicit in this practice is the expectation that aptitude test scores predict future performance. As such, the predictive validity of score-based inferences and decisions constitutes an important rationale for aptitude testing.…

Lexical frequency benchmarks have been extensively used to investigate second language (L2) lexical sophistication, especially in language assessment studies. However, indices based on semantic co-occurrence, which may be a better representation of the experience language users have with lexical items, have not been sufficiently tested as…

There are multiple levels of processing relevant to reading that vary in their visual, sublexical, and lexical orthographic processing demands. Segregating distinct cortical sources for each of these levels has been challenging in EEG studies of early readers. To address this challenge, we applied recent advances in analyzing high-density EEG…

Recent years have seen a flourishing of Natural Language Processing models that can mimic many aspects of human language fluency. These models harness a simple, decades-old idea: It is possible to learn a lot about word meanings just from exposure to language, because words similar in meaning are used in language in similar ways. The successes of…