This study analyzed the struggle of Edna Pontellier in 19th-century liberal feminism novel entitled The Awakening written by Kate Chopin. Liberal assumes that main problem gender inequality is domination institutions men. Men control economic sphere, political along with other things. put its focus on women's equal liberty. In general, about Pontellier, woman who was trapped figure a mother and...

one of the most important reasons for the success of literary figure is his sufficient use of story elements such as characterization, plot, point of view, symbols. this study critically analyses the different literary elements in naguib mahfouz’s famous collection of short stories, “the infamous house” consisting of 18 stories.  at first, we offer a definition of the short story as a genre and...

This paper presents research in enhancing character animation using motion capture data and retargeting motion from one character model to another. Our particular interest lies in animating non-human characters and inanimate objects. The main goal of the project is to use lattice deformations to animate an object and smooth out the kinks in the animation at the bending of the joints. CR Categor...

In this paper, we describe in brief our system for Chinese Spelling Check Backoff sponsored by ACL-SIGHAN. It consists of three main components, namely potential incorrect character detection with a multiple-level analysis, correction candidate generation with similar character sets and correction scoring with n-grams. We participated in all the two sub-tasks at the Bakeoff. We also make a summ...

The automatic vehicle license plate recognition (VLPR) is an important key technology in intelligent transportation system. License plate character recognition is a main step in this system. This paper presents an improved algorithm to accelerate the running speed of the network based on the analysis of traditional BP algorithm’s running speed. Looking from the test effect, its recognition effe...

This article describes the Aalto University entry to the English-to-Finnish news translation shared task in WMT 2017. Our system is an open vocabulary neural machine translation (NMT) system, adapted to the needs of a morphologically complex target language. The main contributions of this paper are 1) implicitly incorporating morphological information to NMT through multi-task learning, 2) addi...

Character recognition has served as one of the principal proving grounds for neural network methods and has emerged as one of the most successful applications of this technology. In this paper, a new network is designed to recognize a set of handwritten arabic characters. This new network consists of two stages. The first is to recognize the main shape of the character, and the second stage is ...