In this paper, we introduce a threshold free approach, motivated from Chinese Restaurant Process, for the purpose of cognate clustering. We show that our approach yields similar results to a linguistically motivated cognate clustering system known as LexStat. Our Chinese Restaurant Process system is fast and does not require any threshold and can be applied to any language family of the world.

Introduction. Development management of the restaurant business is problematically orien­ted because exogenous and endogenous factors influence efficiency establishments. Problem. The external inter­nal different hierarchical levels on actualizes expediency developing innovative adaptive mechanisms interaction with subjects economic relations, which are formed based use cognitive modeling in id...

OBJECTIVE Several provincial and federal bills have recommended various forms of menu labelling that would require information beyond just calories; however, the additional benefit of including sodium information is unknown. The objective of this study was to determine whether sodium information on menus helps consumers make lower-sodium choices and to understand what other factors influence th...

This paper describes the architecture and performance of the Berkeley Restaurant Project (BeRP), a medium-vocabulary, speaker-independent, spontaneous continuous speech understanding system currently under development at ICSI. BeRP serves as a testbed for a number of our speech-related research projects, including robust feature extraction, connectionist phonetic likelihood estimation, automati...