We propose a framework using energy-based models for multiple structured prediction tasks in Sanskrit. Ours is an arc-factored model, similar to the graph-based parsing approaches, and we consider of word segmentation, morphological parsing, dependency syntactic linearization, prosodification, “prosody-level” task introduce this work. search-based framework, which expects graph as input, where ...

This study involving 60 Japanese learners of English investigated the effects of various kinds of form-focused instruction on learners’ ability to comprehend and produce polite requests in English. Each treatment group received one of the following: (a) deductive instruction; (b) inductive instruction with problem-solving tasks; or (c) inductive instruction with structured input tasks. These ta...

Structured data is accumulated rapidly in many applications, e.g. Bioinformatics, Cheminformatics, social network analysis, natural language processing and text mining. Designing and analyzing algorithms for handling these large collections of structured data has received significant interests in data mining and machine learning communities, both in the input and output domain. However, it is n...

The present study investigated the effects of three types of input-based approaches, deductive instruction, inductive instruction with problem-solving tasks, and inductive instruction with structured input tasks on the acquisition of pragmatic competence. Sixty adult intermediate proficiency native speakers of Japanese were randomly assigned to one of four groups consisting of three treatment g...