In this paper we explore a new direction for pedagogical computer characters, which we believe will maximize students’ learning gains and enjoyment. To the traditional scenario where students interact primarily with a single coach or tutor character on-screen, we introduce the addition of both a social, animate colearner, and the student’s own avatar character. Variations of the colearner’s att...

LangGeh orthography is a new writing style proposed by [1]. For Han family languages such Taiwanese or Mandarin that uses Chinese character, LangGeh proposes writing with spaces in-between, using simple short phrase as a unit. This is in contrast to word-based orthography in English and sentence-based orthography in traditional Mandarin. Easy to add spaces, LangGeh has the advangtages of reduci...

With an average of 17 Chinese characters per phonetic syllable, correcting conversion errors with current phonetic input method editors (IMEs) is often painstaking and time consuming. We explore the application of spoken character description as a correction interface for Chinese text entry, in part motivated by the common practice of describing Chinese characters in names for self-introduction...

Engraved characters are usually a limitation for character recognition, as their extraction is difficult due to the small contrast with the background. Nevertheless, they are present in several industrial applications and their handling may be convenient for special tasks such as traceability or quality control. We propose here an entire system from acquisition to character recognition by consi...

1Department of Pathobiology, College of Veterinary Medicine, Nursing & Allied Health, Tuskegee University, Analysis, Tuskegee, Alabama, USA 2Pharmaceutical Sciences, Mercer University Atlanta Campus, Atlanta, Georgia, USA 3Thompson-Bishop-Sparks State Diagnostic Laboratory, Auburn, Alabama, USA 4Department of Animal Sciences, Auburn University, Auburn, Alabama, USA 5Center for Computational Epi...

Since the traditional word-based n-gram model, a generative approach, cannot handle those out-of-vocabulary (OOV) words in the testing-set, the character-based discriminative approach has been widely adopted recently. However, this discriminative model, though is more robust to OOV words, fails to deliver satisfactory performance for those in-vocabulary (IV) words that have been observed before...

Background In last decades, the progress of molecular techniques, bioinformatics tools and genome analysis equipment allowed genomes to be sequenced and analyzed for several plants. For Eucalyptus, the combination of quantitative trait loci (QTL) mapping with genomic analyses, has allowed the identification and validation of a few genomic regions involved in growth and wood quality characters. ...

This article proposes a novel character-aware neural machine translation (NMT) model that views the input sequences as sequences of characters rather than words. On the use of row convolution (Amodei et al., 2015), the encoder of the proposed model composes word-level information from the input sequences of characters automatically. Since our model doesn’t rely on the boundaries between each wo...

Given two sequences, the traditional longest common subsequence (LCS) problem is to obtain the common subsequence with the maximum number of matches, without considering the continuity of the matched characters. However, in many applications, the matching results with higher continuity are more meaningful than the sparse ones, even if the number of matched characters is a little lower. Accordin...

This paper describes a discourse system for conversational characters used for interactive stories. This system is part of an environment that allows learners to practice language skills by interacting with the characters, other learners, and native speakers using instant messaging and email. The dialogues are not purely task oriented and, as a result, are difficult to model using traditional A...