This study examined the effect of politeness, as a key reflection linguistic features conversation in online labor marketplace, on hiring behavior. Drawing politeness theory, non-linear relationship was theorized. A hypothesis put forward and against large-scale archival dataset from Chinese market. Using an econometric model, results demonstrated that there inverted U-shaped between decisions....

A neural network based feature dimensionality reduction for speech recognition is described for accurate phonetic speech recognition. In our previous work, a neural network based nonlinear principal component analysis (NLPCA) was proposed as a dimensionality reduction approach for speech features. It was shown that the reduced dimensionality features are very effective for representing data for...

This study explores whether there is an asymmetry with respect to the perceptual salience of an increase vs. a decrease of phonologically relevant features. A forced-choice discrimination experiment was conducted on stimulus pairs that included one member with unchanged phonetic features and the other with either increased or decreased degree of features (i.e., vowel nasality or VOT). The resul...

This paper presents a perception experiment to measure the ability of Japanese children in fourth and fifth grade elementary school to recognize culturally encoded expressions of politeness and impoliteness in their native language. Audiovisual stimuli were presented to listeners, who rate the politeness degree and a possible situation where such an expression could be used. Analysis of results...

Politeness, as a universal phenomenon in society, is a reflection of specific cultural values, which can be observed in all languages and cultures. This thesis attempts to make a comparative study of politeness behavior between English and Chinese on the contrastive analyses on such linguistic behaviors as addressing, greeting, complimenting. Owing to different beliefs and values, and different...

In this article we present an alternative method for defining the question set used for the induction of acoustic phonetic decision trees. The method is data driven and employs local similarities between the probability density functions of hidden Markov models. The method is shown to work at least as well as the standard method using question sets devised by human experts.

In this paper we propose a method for improving the performance of the segmentation of speech waveforms to phonetic segments. The proposed method is based on the well known Viterbi timealignment algorithm and utilizes the phonetic boundary predictions from multiple speech parameterization techniques. Specifically, we utilize the best, with respect to boundary type, phone transition position pre...

One of the main objectives of research in Natural Language generation (NLG) is to account for linguistic variation in a systematic way. Research on linguistic politeness provides important clues as to the possible causes of linguistic variation and the ways in which it may be modelled formally. In this paper we present a simple language generation model for choosing the appropriate surface real...

The paper presents a comparative analysis of phonetic features, mainly concerning proper names in the Catholic and Orthodox editions Gospel Books translated into Belarusian. basis study is also formed by biblical text sources Greek, Latin, Church Slavonic, Polish, Russian. Furthermore, translation, explanatory other dictionaries, as well works on historical phonetics Belarusian language modern ...

In this article we present an alternative method for defining the question set used for the induction of acoustic phonetic decision trees. The method is data driven and employs local similarities between the probability density functions of hidden Markov models. The method is shown to work at least as well as the standard method using question sets devised by human experts.