This paper is part 4 in a series of workshops that examine the properties of some simple models of vocabulary networks. This Workshop explores how the overall activity level of a vocabulary network can be altered by changing the connections in the network (i.e., by implementing relinking events). The Workshop is linked to an online practice room…

Workshop 2 explores some larger vocabulary networks than those presented in Workshop 1 (1,000 words instead of 100), and introduces some additional ways of activating words in a network (e.g., by using new parameters in our models). The simulations will show that raising a network's activation level may not be as easy as we would have expected,…

The idea that a vocabulary is a network of words is one that has become a common theme of the second language (L2) vocabulary research literature. However, not many people have considered the wider implications of this powerful metaphor. This paper is the first in a series of workshops that examines some of these implications. In this first…

Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…

Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…

Automated alignment of transcriptions to audio files expedites the process of preparing data for acoustic analysis. Unfortunately, the benefits of auto-alignment have generally been available only to researchers studying majority languages, for which large corpora exist and for which acoustic models have been created by large-scale research…

This research work aimed at making use of Machine Translation to help students avoid some syntactic, semantic and pragmatic common errors in translation from English into Arabic. Participants were a hundred and five freshmen who studied the "Translation Common Errors Remedial Program" prepared by the researchers. A testing kit that…

As in any field of scientific inquiry, advancements in the field of second language acquisition (SLA) rely in part on the interpretation and generalizability of study findings using quantitative data analysis and inferential statistics. While statistical techniques such as ANOVA and t-tests are widely used in second language research, this review…

This paper describes a set of simulations which explore the way different features of lexical organisation affect the probability of finding a pair of associated words in a set of five randomly selected words. The simulation is equivalent to giving Ss a set of five words and asking if they can identify a pair of associated words among them. The…

Describes the Case Hierarchy, a model of the case system of unconstrained natural language, and ways in which the case system is specialized in a restricted domain. Results of a feasibility study which examined the utility of the Case Hierarchy and the Case Hierarchy Tool (an intelligent editor supporting the domain analysis process) are…

The ability of the Rasch model computer program BIGSTEPS to perform concurrent calibration and differences in the outcomes between vertical equating using a common item anchoring method and a common item concurrent calibration method was examined. The data for the investigation came from two Chinese language tests that researchers wished to…

Describes various projects of the Didascalia computer-assisted language-learning research center, reflecting major steps in the development of the center and illustrating facets of the prevailing bottom-up approach: from the general lexical programs towards the more contextualized, to the company specific, to the language testing programs. (15…

A framework for describing relationships among the different linguistic systems in a bilingual or second language learner is proposed. The framework attempts to represent the ways in which knowledge of one language is used in integrating into memory new knowledge about another language. The model is partially implemented in a computer program that…

Methods and approaches used at the U.S. Army Research Institute to investigate intelligent computer-assisted foreign language instruction are discussed. The research described explores the use of hypertext and natural language processing for improving language training by articulating student knowledge structures and for providing, incidentally, a…