نتایج جستجو برای: stop words

تعداد نتایج: 178858  

2015
Robert Fuchs

Glottal stop insertion at word boundaries is usually not included in descriptions of the phonology of Southern Standard British English (BrE), and little is known about the factors that determine it. This paper investigates the insertion of glottal stops before vowels at word boundaries (e.g. pronounced as [taUnPIz]) in the spontaneous and read speech of 10 speakers of BrE. Results sh...

2007
HYUNG RIM CHOI BYUNG JOO PARK JOONG JO SHIN KYU PARK

Most container terminals are still using a bar code system for gate passage of trucks and containers, and also using paper documents (slip) for the delivery of the information on storage location of container in a yard. For this reason, most trucks have to stop at the gate of the container terminals in order to perform several basic jobs. To enhance the productivity of gate management, this stu...

Journal: :Journal of speech, language, and hearing research : JSLHR 2009
Melissa A Redford Christina E Gildersleeve-Neumann

PURPOSE To examine when and how socially conditioned distinct speaking styles emerge in typically developing preschool children's speech. METHOD Thirty preschool children, ages 3, 4, and 5 years old, produced target monosyllabic words with monophthongal vowels in different social-functional contexts designed to elicit clear and casual speaking styles. Thirty adult listeners were used to asses...

Background. The No Return Point hypothesis is one of the research areas that has been done in line with the motor program. In this hypothesis emphasized an inability to inhibition move after its start by the motor program. Several factors are affecting the mechanism of this inhibition. Objectives. In this study, we investigate the effects of audio and visual stimuli on blocking quick moves to ...

2015
K. Selvi R. M. Suresh

Pattern recognition, envisaging supervised and unsupervised method, optimization, associative memory and control process are some of the diversified troubles that can be resolved by artificial neural networks. Problem identified: Of late, discovering the required information in massive quantity of data is the challenging tasks. The model of similarity evaluation is the central element in accomp...

2009
Arthur Abramson

Many phonetics textbooks state that, in sequences of two stop consonants in English, the first stop is commonly unreleased. For nonhomorganic stop consonant sequences, this statement may be taken to imply that the (necessary) articulatory release of the first stop has no observable acoustic consequences. To examine this claim, we recorded sentences, produced by several native speakers of Americ...

2012
Neetu Mishra Tanveer J. Siddiqui

This paper investigates yarowsky algorithm for Hindi word sense disambiguation. The evaluation has been developed o n a manually created sense tagged corpus consisting of Hindi words (nouns). The sense definition has been obtained from Hindi Word Net, which is developed at I I T B o m b a y . The maximum observed prec is ion o f 61.7 on 605 tes t ins tances corresponds to the case when both ste...

1998
Johannes Fürnkranz

In this paper, we study the effect of using n-grams (sequences of words of length n) for text categorization. We use an efficient algorithm for generating such n-gram features in two benchmark domains, the 20 newsgroups data set and 21,578 REUTERS newswire articles. Our results with the rule learning algorithm R IPPER indicate that, after the removal of stop words, word sequences of length 2 or...

2015
Hitoshi Takahashi Hiroyuki Nakagawa Tatsuhiro Tsuchiya

Feedback comments, such as mailing lists and reviews, contain beneficial suggestion for software developers. Recently, developers have received more and more feedback comments; but it is still difficult to extract beneficial comments from a large amount of e-mail message or reviews. Latent Dirichlet Allocation (LDA) is a promising way of topic modeling, which classifies documents according to i...

2016
Hao Tao

Tweet sentiment analysis has been an effective and valuable technique in the sentiment analysis domain. As the most widely used approach for tweet sentiment analysis, machine learning algorithms work well on the sentiment classification, just as they have been successfully applied for many other purposes. In this thesis, we conduct a systematic and thorough empirical study on the machine learni...

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