CAPTCHA has been widely used for preventing malicious programs to access web resources automatically. In this paper, a new type CAPTCHA system will be proposed. The proposed scheme, named Clickspell, combined the features of text-based and image-based CAPTCHAs. Clickspell asks users to spell a randomly chosen word by clicking distorted letters for passing the test. Users can learn the definition(s) of the chosen word. In addition, Clickspell can add an advertisement image optionally. Thanks to the advertisement image, Clickspell improved the capability of resistance to the attack by malicious programs. Our preliminary test showed that Clickspell is practical in the aspects of security and usability.

We have developed a collaborative hypertext system, called Fig 1 Cirouptew the I,irgc rcctangk' i, a mmputer ,,,,teni. and the vm311e,t rectangtc'. .re text block,, Ihc sphnes indicate channel, of COrnmUnll.,ItIOI1 at UTSA Libraries on June 15, 2015 jis.sagepub.com Downloaded from

This paper describes the development of an innovative web-based environment for English language learning with advanced data-driven and statistical approaches. The project uses various corpora, including a Chinese-English parallel corpus (Sinorama) and various natural language processing (NLP) tools to construct effective English learning tasks for college learners with adaptive computational scaffolding. It integrates the expertise of a group of researchers in four areas: (a) advances in NLP technologies and applications, (b) construction of a self-access reading environment, (c) exploration of English language learning through written exercises and translations, and (d) use of bilingual corpora for culture-based English learning. In this paper, the conceptualization of the system and its various reference tools (e.g., a bilingual concordancer) for English learning and pilot testing on various modules (e.g., a reading module, Text Grader, and Collocation Practice) are reported.

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