Grammar Approximation by Representative Sublanguage: A New Model for Language Learning
نویسندگان
چکیده
We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic assumptions about natural language syntax. We show that the search space for grammar induction is a complete grammar lattice, which guarantees the uniqueness of the learned grammar.
منابع مشابه
Inductive vs. Deductive Grammar Instruction and the Grammatical Performance of EFL Learners
Learning a foreign language offers a great challenge to students since it involves learning different skills and subskills. Quite a few number of researches have been done so far on the relationship between gender and learning a foreign language. On the other hand, two major approaches in teaching grammar have been offered by language experts, inductive and deductive. The present study examines...
متن کاملGender Differences in Students’ and Teachers’ Perceptions of the Role of Grammar Instruction and Corrective Feedback
This paper explores male and female students' and teachers' perceptions of the role of grammar instruction and corrective feedback. A questionnaire, administered to 60 male and female intermediate EFL students (30 males and 30 females) and 40 teachers (20 males and 20 females), elicited student and teacher perceptions concerning the role of explicit grammar instruction and corrective feedback i...
متن کاملConceptual graph grammar--a simple formalism for sublanguage.
There are a wide variety of computer applications that deal with various aspects of medical language: concept representation, controlled vocabulary, natural language processing, and information retrieval. While technical and theoretical methods appear to differ, all approaches investigate different aspects of the same phenomenon: medical sublanguage. This paper surveys the properties of medical...
متن کاملTwo biomedical sublanguages: a description based on the theories of Zellig Harris
Natural language processing (NLP) systems have been developed to provide access to the tremendous body of data and knowledge that is available in the biomedical domain in the form of natural language text. These NLP systems are valuable because they can encode and amass the information in the text so that it can be used by other automated processes to improve patient care and our understanding ...
متن کاملThe Impact of Structured Input-based Tasks on L2 Learners’ Grammar Learning
Abstract Task-based language teaching has received increased attention in second language research. However, the combination of structured input-based approach and task-based language teaching has not been examined in relation to L2 grammar learning. To address this gap, the present study investigated how the structured input-based tasks with and without explicit information impacted learners’ ...
متن کامل