This paper researches on Tibetan automatic word segmentation. We focus on three key technologies of Tibetan automatic word segmentation: (1) a Tibetan automatic word segmentation approach is proposed, which is taking the advantage of case-auxiliary words and continuous feature. (2) a resolution method of overlapping ambiguity in Tibetan word segmentation is proposed, which is based on forward-b...

Word spotting is to make searchable unindexed image documents by locating word/words in a doc-ument image, given a query word. This problem is challenging, mainly due to the large numberof word classes with very small inter-class and substantial intra-class distances. In this paper, asegmentation-based word spotting method is presented for multi-writer Persian handwritten doc-...

We present a scalable approach to automatically discovering particular objects (as opposed to object categories) from a set of images. The basic idea is to search for local image features that consistently appear in the same images under the assumption that such co-occurring features underlie the same object. We first represent each image in the set as a set of visual words (vector quantized lo...

The purpose of this study was to put the test a self-efficacy survey four language skills (listening, speaking, writing, and reading) using Jigsaw Learning Strategy. This descriptive qualitative in which 20 question items about English mastery for health vocational students are tested. carried out two classrooms with 39 each from January 2021 August 2022. Two were set up lecture group, one non-...

In this paper we present a geometrical correction method of handwritten characters. This normalization method is based on Fourier coefficients of a chain-encoded contour. It is carried out in order to improve the rate and the performance of an Arabic handwritten word recognition system. The recognition is based on the global observation of apparent features associated to key-letters of the reco...

The Typhoid Fever Surveillance in Africa Program (TSAP) was established in 2009 to fill the data void concerning invasive Salmonella disease in sub-Saharan Africa, and to specifically estimate the burden of bloodstream infections caused by the key pathogen, Salmonella enterica serovar Typhi. TSAP has achieved this ambitious target, finding high incidences of typhoid fever in both rural and urba...

It is perhaps misleading to use the word theory to describe the view of language acquisition and cognitive development, which is the subject of this chapter. This word is used as a matter of convenience; it applies here to what is best characterized as a partially completed program of research—a jigsaw puzzle in which certain pieces have been positioned with reasonable confidence, while others ...

This paper proposes a novel method of generating statistical Korean Hangul character models in real time. From a set of grapheme average images we compose any character images, and then convert them to P2DHMMs. The nonlinear, 2D composition of letter models in Hangul is not straightforward and has not been tried for machine-print character recognition. It is obvious that the proposed method of ...

<p><span>Penelitian ini bertujuan untuk; a) Mendeskripsikan pembelajaran Akhlak dalam materi “Sekelumit Nabi” menggunakan metode Jigsaw kelas 8 SMP IBS Al Hamra, b) Mengetahui antusias siswa Jigsaw, c) kepercayaan diri Jigsaw. Peneliti pendekatan kualitatif sedangkan jenis penelitian studi kasus. Metode pengumpulan data dengan observasi, wawancara dan dokumentasi. Informan dari adal...

How to dig latent and useful logistics information resources from massive comment data of e-commerce logistics service is the foundation and key to improve logistics management and service quality. This paper aims to deal with text contents of E-commerce logistics service comments based on Chinese word segmentation, and uses LDA theme model to discover the potential topics in the comment texts ...