The present paper investigates the word-formation process of blending in English. Following a brief review of several previous classificatory studies, the paper analyzes the orthographic and phonemic structure of blends on a quantitative basis. The main factors to be discussed are (i) the amount of information each source word contributes (following Kaunisto 2000a, 2000b) and (ii) the similarit...

In order to obtain a high precision and high coverage grammar, we proposed a model to measure grammar coverage and designed a PCFG parser to measure efficiency of the grammar. To generalize grammars, a grammar binarization method was proposed to increase the coverage of a probabilistic contextfree grammar. In the mean time linguistically-motivated feature constraints were added into grammar rul...

Assigning a positive or negative score to a word out of context (i.e. a word’s prior polarity) is a challenging task for sentiment analysis. In the literature, various approaches based on SentiWordNet have been proposed. In this paper, we compare the most often used techniques together with newly proposed ones and incorporate all of them in a learning framework to see whether blending them can ...

In this paper we describe a technique for animating visual speech by concatenating small fragments of speech movements. The technique is analogous to the most effective audio synthesis techniques which form utterances by blending small fragments of speech waveforms. Motion and audio data is initially captured to cover the target synthesis domain; this data is subsequently phonetically labelled ...

European Regulation 1169/2011 requires producers of foods that contain refined vegetable oils to label the oil types. A novel rapid and staged methodology has been developed for the first time to identify common oil species in oil blends. The qualitative method consists of a combination of a Fourier Transform Infrared (FTIR) spectroscopy to profile the oils and fatty acid chromatographic analys...

Blending different low molecular weight gelators (LMWGs) provides a convenient route to tune the properties of a gel and incorporate functionalities such as fluorescence. Blending a series of gelators having a common bis-urea motif, and functionalised with different amino acid-derived end-groups and differing length alkylene spacers is reported. Fluorescent gelators incorporating 1- and 2-pyren...

In this paper, speech recognition techniques are applied to automatically evaluate children's performance in a syllable blending task. Word verification is performed to filter out utterances pronounced incorrectly. For valid words, forced alignment is applied to generate syllable segmentations and produce the corresponding HMM log likelihood scores. Normalized spectral likelihoods and duration ...

This study demonstrates the capabilities of NIR imaging as an effective tool for characterization of pharmaceutical powder blends. The powder system used in this small-scale powder blending study consists of acetaminophen (APAP, the model API), microcrystalline cellulose (MCC) and lactose monohydrate. Mixtures of these components were blended for different times for a total of ten time points (...

Commercial ecological gasoline is being obtained by blending multiple components. Increasing a refinery’s economic performance depends, among other things, on obtaining optimum blending recipes for the available components. To determine the optimum blending recipe, knowing the mathematical blending model for blending properties estimation and a linear optimization algorithm are necessary. As a ...

From the point of view theory neology, processes formation new words, causes and prerequisites for their occurrence have not yet been studied in linguistics, end there is still no balanced clear definition neologism. The very fact registration words by lexicographers who are at same time native speakers means that these passed stages entry partial or complete assimilation language, namely: acce...