Purpose – To evaluate the accuracy of conflation methods based on finite-state transducers (FSTs). Design/methodology/approach – Incorrectly lemmatized and stemmed forms may lead to the retrieval of inappropriate documents. Experimental studies to date have focused on retrieval performance, but very few on conflation performance. The process of normalization we used involved a linguistic toolbo...

This paper describes our participation in the TREC Legal experiments in 2007. We have applied novel normalization techniques that are designed to slightly favor longer documents instead of assuming that all documents should have equal weight. We have also developed a new method for reformulating query text when background information is provided with an information request. We have also experim...

In brain volumetric studies, intracranial volume (ICV) is often used as an estimate of pre-morbid brain size as well as to compensate for inter-subject variations in head size. However, if the estimated ICV is biased by for example gender or atrophy, it could introduce errors in study results. To evaluate how two commonly used methods for ICV estimation perform, computer assisted reference segm...

the corporate entrepreneurship (ce) of firms and enterprises is the subject of current research in the fields of management and business. however, analyses on this subject in agricultural firms are lacking. the purpose of this research was to study the relationships between corporate entrepreneurship and firm performance in agricultural small and medium-sized enterprises (asmes) in iran. specif...

Optical character recognition (OCR) is the most commonly used technique to convert printed material into electronic form. Using OCR, large repositories of machine readable text can be created in a short time. An information retrieval system can then be used to search through large information bases thus created. Many information retrieval systems use sophisticated term weighting functions to im...

the mel frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. in this paper to achieve a satisfactorily performance in automatic speech recognition (asr) applications we introduce a noise robust new set of mfcc vector estimated through following steps. first, spectral mean normalization is a pre-processing which applies to t...

Over the past 10 years, an in-depth study of metabolic processes in chronic liver diseases and rapid development new technologies production macro- nutrients, pharmacological nutrients clinical dietetics nutritional science have led to creation fundamentally approaches therapy for these diseases. It is recognized that dietary interventions should not only follow general recommendations indicate...

knowledge creation and innovation is recognized to be of paramount importance to the competitive advantage of organizations in modem economics. this research empirically investigates the creation of new knowledge. to analyze data, we used regression. the results indicate that intention, requisite variety, individual autonomy, project autonomy and redundancy are highly associated with successful...

The increasing availability of audio data on the internet leads to a multitude datasets for development and training text speech applications, based deep neural networks. Highly differing quality voice, low sampling rates, lack normalization disadvantageous alignment samples corresponding transcript sentences still limit performance networks trained this task. Additionally, resources in languag...