This quasi-experimental study investigated the effects of input-enhancement and production of sentences, containing the target structures, on learning grammar by Iranian Intermediate EFL learners. Sixty male students in three input, output, and control groups participated in the study. After checking the homogeneity of the participants with a proficiency test, the researchers administered a pre...

Grammar exercises for language learning fall into two distinct classes: those that are based on “real life sentences” extracted from existing documents or from the web; and those that seek to facilitate language acquisition by presenting the learner with exercises whose syntax is as simple as possible and whose vocabulary is restricted to that contained in the textbook being used. In this paper...

pcfg Learning by Partition Search is a general grammatical inference method for constructing, adapting and optimising pcfgs. Given a training corpus of examples from a language, a canonical grammar for the training corpus, and a parsing task, Partition Search pcfg Learning constructs a grammar that maximises performance on the parsing task and minimises grammar size. This paper describes Partit...

pcfg Learning by Partition Search is a general grammatical inference method for constructing, adapting and optimising pcfgs. Given a training corpus of examples from a language, a canonical grammar for the training corpus, and a parsing task, Partition Search pcfg Learning constructs a grammar that maximises performance on the parsing task and minimises grammar size. This paper describes Partit...

Artificial grammar learning (AGL) is one of the most commonly used paradigms for the study of implicit learning and the contrast between rules, similarity, and associative learning. Despite five decades of extensive research, however, a satisfactory theoretical consensus has not been forthcoming. Theoretical accounts of AGL are reviewed, together with relevant human experimental and neuroscienc...

We describe a prototype system which induces a categorial grammar from a simple text corpus of children's reading books. Unlike previous attempts at grammar induction, (I) there are no rules of grammar, only a richly structured lexicon; (2) we rely both on an informing linguistic theory and on statistical methods applied to a corpus. 1 I n t r o d u c t i o n L e a r n i n g a

Abstract: For teaching and learning Malay language grammar, there are many types of online assessment tools applications have been developed in Malaysia. One such application is Quizizz, a game-based quiz that facilitates learning. The purpose this research to measure the effectiveness Quizizz teach learn grammar. We used descriptive questionnaire design, chosen 130 students from Tamil schools ...

Grammar induction refers to the process of learning grammars and languages from data; this finds a variety of applications in syntactic pattern recognition, the modeling of natural language acquisition, data mining and machine translation. This special topic contains several papers presenting some of recent developments in the area of grammar induction and language learning, as applied to vario...

Grammar constitutes an essential element in the learning and teaching of any language. English as a foreign language is being taught Pakistani government-run schools non-elitist private schools. The focal question this paper centers on several implications process grammatical concepts. main aim research study to find out methods adopted grammar whether these are updated with recent recommended ...

construction VERB meaning: PROCESS construction GEI3 subcase of VERB form self.f.orth <-“gei3” meaning : GIVE schema TRANSFER subcase of ACTION roles giver : @Entity recipient : @Entity theme : @Entity constraints giver <--> protagonist schema GIVE subcase of TRANSFER roles giver : @Animate recipient : @Animate theme : @Manipulable_Inanimate_Object Figure 2.4 Processes, like other schemas, are ...