This paper describes methods to recognize English utterances by Japanese learners as accurately as possible and detects grammatical errors from the transcription of the utterances. This method is a building block for the voice-interactive Computer-Assisted Language Learning (CALL) system that enables a learner to make conversation practice with a computer. A difficult point for development of s...

In the process of learning and using Chinese, foreigners may have grammatical errors due to negative migration of their native languages. Currently, the computer-oriented automatic detection method of grammatical errors is not mature enough. Based on the evaluating task ---CGED2016, we select and analyze the classification model and design feature extraction method to obtain grammatical errors ...

Although grammatical gender category assignment is arbitrary with respect to the semantics of gender, speakers of languages with grammatical gender conceive of non-gendered objects as having gendered characteristics consistent with the grammatical gender category to which they belong, a phenomenon we call conceptual spread. To extend these findings, we ask if orthographic gender – gender inform...

There have been many approaches to modularity in the field of evolutionary computation, each tailored to function with a particular representation. This research examines one approach to modularity and grammar modification with a grammar-based approach to genetic programming, grammatical evolution (GE). Here, GE’s grammar was modified over the course of an evolutionary run with modules in order...

Both notional and grammatical number affect agreement during language production. To explore their workings, we investigated how semantic integration, a type of conceptual relatedness, produces variations in agreement (Solomon & Pearlmutter, 2004). These agreement variations are open to competing notional and lexical-grammatical number accounts. The notional hypothesis is that changes in number...

Generalization-the ability to abstract regularities from specific examples and apply them to novel instances-is an essential component of language acquisition. Generalization not only depends on exposure to input during wake, but may also improve offline during sleep. Here we examined whether targeted memory reactivation during sleep can influence grammatical generalization. Participants gradua...