This work describes the Haitian-Créole to English statistical machine translation system built by Barcelona Media Innovation Center (BM) and Institute for Infocomm Research (I2R) for the 6th Workshop on Statistical Machine Translation (WMT 2011). Our system carefully processes the available data and uses it in a standard phrase-based system enhanced with a source context semantic feature that h...

A fundamental problem in large scale, decentralized distributed systems is the efficient discovery of information. This paper presents Squid, a peer-to-peer information discovery system that supports flexible searches and provides search guarantees. The fundamental concept underlying the approach is the definition of multi-dimensional information spaces and the maintenance of locality in these ...

In recent years the proliferation of a new technological evolution has aroused great interest from science and practice: social media. Subsuming different types of online applications where users can create, edit and share content, social media enables new forms of interaction with others. Organisations already recognise its relevance and start leveraging on it. Furthermore, organisations ident...

GAMBL is a word expert approach to WSD in which each word expert is trained using memorybased learning. Joint feature selection and algorithm parameter optimization are achieved with a genetic algorithm (GA). We use a cascaded classifier approach in which the GA optimizes local context features and the output of a separate keyword classifier (rather than also optimizing the keyword features tog...

We present a novel statistical approach to semantic parsing, WASP, for constructing a complete, formal meaning representation of a sentence. A semantic parser is learned given a set of sentences annotated with their correct meaning representations. The main innovation of WASP is its use of state-of-the-art statistical machine translation techniques. A word alignment model is used for lexical ac...

Organizations are beginning to experiment with the use of the “crowd” to complete tasks commonly performed by employees or designated agents. While “crowdsourcing” is growing, we know little about common uses of the crowd and the challenges such initiatives present. Findings from a grounded theory study reveal four common uses by established organizations: productivity, product/service innovati...

The market orientation has been found to be a major driver of innovation performance in service contexts. This issue raises questions concerning the extent to which the relationship market orientation-innovation performance link holds in the high-tech industry. Relatively litter research has examined how market orientation contributes to innovation performance through service innovation. We rep...

R&D has always been considered a strategic asset of companies. Traditionally, companies that have their own R&D function are better prepared to compete in the globalized economy because they are able to produce the knowledge and technology required to advance products and services. SMEs also need to become highly innovative and competitive in order to be successful. Nevertheless, their ability ...

Closed innovation approaches have been employed for many years in the food industry. But, this sector recently perceives its end-user to be wary of radically new products and changes in consumption patterns. However, new product development involves not only the product itself but also the entire manufacturing and distribution network. In this paper, we present a new ICT based framework that em...

this article studies the generative grammar approach and some other theories driven from it to lexicon and lexical entries. generative grammar is known as a syntax-based theory, so some aspects of language which have been studied in this theory may have been ignored in other theories. this article shows that more attention has been given to lexicon and lexical entries since 50s. we may claim th...