This paper presents a method for the assignment of grammatical relation labels in a sentence structure. The method has been implemented in the software tool AGRA (Automatic Grammatical Relation Assigner), which is part of a project for the development of a treebank of Italian sentences, and a knowledge base of Italian subcategorization frames. The annotation schema implements a notion of unders...

Abstract Computer-assisted textual enhancement (CATE) technology has been widely used to improve English as foreign language (EFL) learners’ syntactical and grammatical learning. Visual attention, repetition, prior knowledge are known the vital factors in CATE-assisted knowledge-acquisition; however, there still lacks a model which can describe those factors’ intrinsic cooperating-mechanism tha...

Previous studies have suggested that both automatic and intentional processes contribute to the learning of grammar and fragment knowledge in artificial grammar learning (AGL) tasks. To explore the relative contribution of automatic and intentional processes to knowledge gained in AGL, we utilized dual-task methodology to dissociate automatic and intentional grammar- and fragment-based knowledg...

In this paper we propose the components, the general architecture and application areas for a controlled natural language based multilingual semantic wiki. Such a wiki is a collaborative knowledge engineering environment that makes its content available via multiple languages, both natural and formal, all of them synchronized via their abstract form that is assigned by a shared grammar. We also...

Previous research shows that due to non-facilitative first language (L1) transfer, second (L2) speakers do not develop implicit knowledge of certain grammatical structures. Therefore, the present paper investigates whether L1-Sinhala–L2-English could acquire English object pronouns. To achieve this goal, compares data collected via an untimed grammaticality judgment task (untimed GJT) and oral ...

It is desirable for an intelligent program to communicate with humans using a natural language. We have recently developed a program to parse a sentence into a thought using a learned English grammar. Without learning a separate grammar, this paper discusses how we convert the learned grammatical structures into role structures. These role structures can then be used by our algorithm to generat...

What kinds of knowledge underlie the use of language and how is this knowledge acquired? Linguists equate knowing a language with knowing a grammar. Classic "poverty of the stimulus" arguments suggest that grammar identification is an intractable inductive problem and that acquisition is possible only because children possess innate knowledge of grammatical structure. An alternative view is eme...

The present study addresses the issue of the distinction between nouns and verbs in the lexicon and investigates if and to what extent the grammatical properties of nouns and verbs play a role in organizing the lexical knowledge. Evidence from linguistics, cognitive psychology and cognitive neuropsychology of language is reviewed in order to support the conclusions that, among many other dimens...

The knowledge of grammatical categories such as nouns and verbs is considered to lie at the foundations of human language comprehension and production abilities. Words’ distributional and phonological properties contribute to both adult and infant learning of grammatical categories. Here we investigate the contribution of semantic cues to the acquisition of grammatical categories using grammati...