This paper introduces a new approach to morpho-syntactic analysis through Humor 99 (High-speed Unification Mo.rphology), a reversible and unification-based morphological analyzer which has already been integrated with a variety of industrial applications. Humor 99 successfully copes with problems of agglutinative (e.g. Hungarian, Turkish, Estonian) and other (highly) inflectional languages (e.g. Polish, Czech, German) very effectively. The authors conclude the paper by arguing that the approach used in Humor 99 is general enough to be well suitable for a wide range of languages, and can serve as basis for higher-level linguistic operations such as shallow parsing.

Texts acquired from recognition sources-continuous speech/handwriting recognition and OCR-generally have three types of errors regardless of the characteristics of the source in particular. The output of the recognition process may be (1) poorly segmented or not segmented at all; (2) containing underspecified symbols (where the recognition process can only indicate that the symbol belongs to a specific group), e.g. shape codes; (3) containing incorrectly identified symbols. The project presented in this paper addresses these errors by developing of a unified linguistic framework called the MorphoLogic Recognition Assistant that provides feedback and corrections for various recognition processes. The framework uses customized morpho-syntactic and syntactic analysis where the lexicons and their alphabets correspond to the symbol set acquired from the recognition process. The successful framework must provide three services: (1) proper disambiguated segmentation, (2) disambiguation for underspecified symbols, (3) correction for incorrectly recognized symbols. The paper outlines the methods of morpho-syntactic and syntactic post-processing currently in use.

This paper introduces a context-sensitive electronic dictionary that provides translations for any piece of text displayed on a computer screen, without requiring user interaction. This is achieved through a process of three phases: text acquisition from the screen, morpho-syntactic analysis of the context of the selected word, and the dictionary lookup. As with other similar tools available, this program usually works with dictionaries adapted from one or more printed dictionaries. To implement context sensitive features, however, traditional dictionary entries need to be restructured. By splitting up entries into smaller pieces and indexing them in a special way, the program is able to display a restricted set of information that is relevant to the context. Based on the information in the dictionaries, the program is able to recognize-even discontinuous-multiword expressions on the screen. The program has three major features which we believe make it unique for the time being, and which the development focused on: linguistic flexibility (stemming, morphological analysis and shallow parsing), open architecture (three major architectural blocks, all replaceable along public documented APIs), and flexible user interface (replaceable dictionaries, direct user feedback). In this paper, we assess the functional requirements of a context-sensitive dictionary as a start; then we explain the program's three phases of operation, focusing on the implementation of the lexicons and the context-sensitive features. We conclude the paper by comparing our tool to other similar publicly available products, and summarize plans for future development.

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“Specialised Communication and Translation: On the User's Side Comunicazione specialistica e traduzione: dalla parte dell'utente”Scuola Superiore di Lingue Moderne per Interpreti e Traduttori. Trieste Italy 29 November - 1 December 2001 , Training Seminar on Translation and Localisation Universitat Rovira i Virgili, Tarragona Spain 10-11 May 2002 , Challenges of Translation in Software Localisation , Using Computer-Aided Translation Tools and Other Electronic Resources , Localisation: Challenge to Translation Teaching , Conclusion