We present a web-based interface that automatically assesses reading difficulty of Chinese texts. The system performs word segmentation, part-of-speech tagging and dependency parsing on the input text, and then determines the difficulty levels of the vocabulary items and grammatical constructions in the text. Furthermore, the system highlights the words and phrases that must be simplified or re...

The transition from searching in a single database to searching a multiplicity of networked atabases exacerbates some old difficulties in the design and evaluation of retrieval systems and creates new ones. A network environment calls into question the traditional definitions of recall and relevance. Efficient network searching raises questions about where to look first, where to look next and ...

The recall and manipulation of medical knowledge and patient information motivates most medical informatics research. Before a computer program can do such sophisticated tasks, the knowledge or information must be represented in the computer. Researchers often see the information representation problem only as a means to an end; dealing with it to the degree necessary to allow them to test diff...

A vast majority of L1 vocabulary acquisition occurs through incidental learning during reading (Nation, 2001; Schmitt et al., 2001). We propose a probabilistic approach to generating code-mixed text as an L2 technique for increasing retention in adult lexical learning through reading. Our model that takes as input a bilingual dictionary and an English text, and generates a code-switched text th...

Automatic annotation of images with descriptive words is a challenging problem with vast applications in the areas of image search and retrieval. This problem can be viewed as a label-assignment problem by a classifier dealing with a very large set of labels, i.e., the vocabulary set. We propose a novel annotation method that employs two layers of sparse coding and performs coarse-to-fine label...

BACKGROUND Identifying key variables such as disorders within the clinical narratives in electronic health records has wide-ranging applications within clinical practice and biomedical research. Previous research has demonstrated reduced performance of disorder named entity recognition (NER) and normalization (or grounding) in clinical narratives than in biomedical publications. In this work, w...

The researcher investigated the use of three types of dictionaries while reading by high school students with severe to profound hearing loss. The objective of the study was to determine the effectiveness of each type of dictionary for acquiring the meanings of unknown vocabulary in text. The three types of dictionaries were (a) an online bilingual multimedia English-American Sign Language (ASL...

The aim of this study is to examine the advantages of Mobile-Assisted Language Learning (MALL), especially vocabulary learning of English as a foreign or second language (L2) in terms of the two strands: automatization and learner autonomy. Previous studies articulate that technology-enhanced L2 learning could bring about some positive effects. The use of technological functions in a mobile dev...

The performance of 18 deaf college students who learned English words and their definitions using the mnemonic keyword method with pictorial elaboration was compared with the performance of 13 controls who learned the same words and their definitions using their own strategies. Immediate and delayed prompted word-definition recall and delayed word-recognition measures were used to compare the p...

Nowadays, cross-lingual Information Retrieval (IR) is one of the greatest challenges to deal with. Besides, one of the most important issues in IR consists in the corpus vocabulary reduction in order to make possible to use in real situations some methods of IR such as the well-known vector space model. In this work, we have considered a vocabulary reduction process based on the selection of mi...