A lexical knowledge base is a repository of computational information about concepts intended to be generally useful in many application areas including computational linguistics, artificial intelligence, and information science. It contains information derived from machine-readable dictionaries, the full text of reference books, the results of statistical analyses of text usages, and data manu...

Nonword repetition (NWR) has been used extensively in the study of child language. Although lexical and sub-lexical knowledge is known to influence NWR performance, there has been little examination of the NWR processes (e.g., encoding, storage, articulation) that may be affected by lexical and sub-lexical knowledge. We administered 2and 3-syllable spoken nonword recognition and nonword repetit...

the purpose of the study was to activate the passive lexical knowledge through noticing and to investigate the effect of sentence writing as the post task of noticing activity on strengthening the effect of noticing. forty-two iranian female adult upper-intermediate english students of a state university in 2 homogenous groups participated in noticing the lexical items whose production were not...

The current study, setting a two-fold goal, attempted to see whether the preemptive focus on form (FonF) under either planned or unplanned conditions could contribute to increasing lexical diversity in written narratives and, second, to find whether there was a trade-off between the lexical diversity and accuracy. To this end, 32 beginner learners were selected following a Quick Oxford Placemen...

To investigate the effects of etymological elaboration, contextual pragmatic clues, and lexical knowledge on L2 idioms comprehension and production, 60 male intermediate level EFL students in three groups were selected. Each group was randomly assigned to one treatment condition. Group one participants were presented with the etymological explanation of idioms. In group two, the same idioms wer...

This work has been motivated by two long term goals: to understand how humans learn language and to build programs that can understand language. Using a representation that makes the relevant features explicit is a prerequisite for successful learning and understanding. Therefore, I chose to represent relations between individual words explicitly in my model. Lexical attraction is defined as th...

Large-scale knowledge-based machine translation requires significant amounts of lexical knowledge in order to map syntactic structures to conceptual structures. Tfiis paper presents a framework in which lexical knowledge is separated into different levels of representation, which are arranged in a hierarchical model based on principles of knowledge representation and lexical semantics. The prop...