This paper presents a new version of Robo-Sensei's NLP (Natural Language Processing) system which updates the version currently available as the software package "ROBO-SENSEI: Personal Japanese Tutor" (Nagata, 2004). Robo-Sensei's NLP system includes a lexicon, a morphological generator, a word segmentor, a morphological parser, a syntactic…

Discusses how computer-assisted language learning programs can generate error messages to help students in different ways. The article points out that an easier solution is to program a computer to recognize several different kinds of generic errors not related to any particular question but applicable to many situations, in order to generate…

Describes a language generation system, which, given data files describing a natural language, generates utterances of the class the user has specified. The system can exercise control over the syntax, lexicon, morphology, and semantics of the language. This article explores a range of the system's potential applications to second-language…

ALICE, a multimedia framework for intelligent computer-assisted language instruction (ICALI) at Carnegie Mellon University (PA), consists of a set of tools for building a number of different types of ICALI programs in any language. Its Natural Language Processing tools for syntactic error detection, morphological analysis, and generation of…

SPANLAP (SPANish LAnguage Processing) is a computer program which attempts to engage students of Spanish in a free-form written dialog by allowing them to ask questions. The morphological and syntactic parsing process used in SPANLAP is explained. Sample dialog illustrates limitations of the current model. (Author/LMO)

Examines the use of computers for error detection in natural language texts. Focuses on a computer program designed to teach students to edit their papers for errors using pattern matching in error detection. Describes a "pedagogy for editing" and speculates on ways to improve computer detection of errors in natural language texts. (AEM)