Service adoption analysis is a useful instrument for reducing the risk of new service development and launch. The purpose of this study is to develop a 2-tuple fuzzy linguistic approach for assessing the intention level of service adoption. In doing so, a theoretical framework for service adoption analysis is proposed. Under this framework, a 2-tuple fuzzy linguistic approach is then proposed f...

In this paper we present a general purpose grammar for the deep linguistic processing of Portuguese that delivers high precision grammatical analysis and detailed meaning representations. We present the main design features and evaluation results concerning the grammar’s coverage as well as its ability to produce correct grammatical analyses.

This paper, the 5 in a series of biennial progress reports, reviews the activities of the Linguistic Data Consortium with particular emphasis on general trends in the language resource landscape and on changes that distinguish the two years since LDC’s last report at LREC from the preceding 8 years. After providing a perspective on the current landscape of language resources, the paper goes on ...

In this paper we present LXGram, a general purpose grammar for the deep linguistic processing of Portuguese that delivers high precision grammatical analysis and detailed meaning representations. We present the main design features and evaluation results on the grammar’s coverage as well as its ability to produce correct grammatical analyses.

The Linguistic Data Consortium (LDC) has created various annotated linguistic data for a variety of common task evaluation programs and projects to create shared linguistic resources. The majority of these annotated linguistic data were created with highly customized annotation tools developed at LDC. The Annotation Graph Toolkit (AGTK) has been used as a primary infrastructure for annotation t...

This research explores the effects of three computer-mediated feedback modalities, that is, elicitation, recast, and meta-linguistics, on the learning of English participial, gerund, and infinitival phrases among Iranian intermediate-level EFL learners. The overriding focus of the present study was to investigate whether different types of feedback given through form-focused computer-human exch...

fuzzy set based methods have been proved to be effective in handling many types of uncertainties in different fields, including reliability engineering. this paper presents a new approach on fuzzy reliability, based on the use of beta type distribution as membership function. considering experts' ideas and by asking operators linguistic variables, a rule base is designed to determine the level ...

In this paper we present IDEAL+, a parsing architecture for Italian, which pursues the goal of pairing robustness with deep linguistic analysis by extending a shallow processing kernel with a pool of hybrid constraints for the incremental identification of grammatical relations. The parsing output takes the form of dependency structures representing the full range of instantiated functional rel...

This paper reports on the development and evaluation of an Italian broadcast news corpus at ITC-irst, under a contract with the European Language resources Distribution Agency (ELDA). The corpus consists of 30 hours of recordings transcribed and annotated with conventions similar to those adopted by the Linguistic Data Consortium for the DARPA HUB-4 corpora. The corpus will be completed and rel...