We present a simple EM-based grammar induction algorithm for Combinatory Categorial Grammar (CCG) that achieves state-of-the-art performance by relying on a minimal number of very general linguistic principles. Unlike previous work on unsupervised parsing with CCGs, our approach has no prior language-specific knowledge, and discovers all categories automatically. Additionally, unlike other appr...

In this paper we propose an approach to corpus-based generation in a machine translation framework that is similar to shake & bake (Whitelock, 1992). A bag of words is mapped against an automatically induced TL template grammar and a sentence is generated by recursively applying rules that are extracted from the template grammar. A test version of the template grammar is enriched with further l...

the present study investigated comparatively the impact of two types of input enhancement (i.e. textual vs. compound enhancement) on developing grammar ability in iranian efl setting. sixty-five female secondary high school students were selected as a homogenous sample out of about a 100-member population based on nelson language proficiency test. then, their grammar ability was measured based ...

In description logics, an RBox is a finite set of role axioms of the form Rs1 ◦ . . .◦Rsk v Rt, where Rs1 , . . . , Rsk , Rt are role names. A regular RBox is an RBox whose set of corresponding grammar rules t→ s1 . . . sk forms a grammar such that, for every symbol s of the grammar, the set of words derivable from s using the grammar is a regular language. We assume that a regular RBox is spec...

This paper describes a methodology for semi-automatic grammar induction from unannotated corpora belonging to a restricted domain. The grammar contains both semantic and syntactic structures, which are conducive towards language understanding. Our work aims to ameliorate the reliance of grammar development on expert handcrafting or the availability of annotated corpora. To strive for a reasonab...

Abstract To probe the limits of attention raising through form-focused instruction, second-language research must adapt to needs a technologically driven learning environment. In this study, we used randomized control design investigate effect captioned media on vocabulary and grammar in L2 Spanish ( n = 369 learners). Through four data-collection sessions, participants were presented with gram...

We report work on effectively incorporating linguistic knowledge into grammar induction. We use a highly interactive bot tom-up inductive logic programming (ILP) algorithm to learn 'missing' grammar rules from an :incomplete grammar. Using linguistic constraints on, for example, head features and gap threading, reduces the search space to such an extent that, in the small-scale experiments repo...

As indicated by many researchers (Lecomte, 1998; Cornell, 1997) the minimalist framework as worked out in the Minimalist Program (Chomsky, 1995) and the resource conscious logics such as Multimodal Categorial Grammar (Moortgat, 1996) show many similarities. The two theories are the product of distinct scientific traditions, but they aim to give a similar explanation for grammatical knowledge an...

Process modeling grammars are used by analysts to describe information systems domains in terms of the business operations an organization is conducting. While prior research has examined the factors that lead to continued usage behavior, little knowledge has been established as to what extent characteristics of the users of process modeling grammars inform usage behavior. In this study, a theo...