Journal ArticleDOI
Guest editorial: Artificial intelligence and software multilinguality
TLDR
The goal is to show the readers that existing AI methods, although not always mature and near - to - market , can offer much help to support multilinguality in the software industry.Abstract:
In this editorial we briefly discuss issues related to multilinguality in the software industry and highlight areas where AI - based methods , techniques , and tools can be used to support multilinguality We then provide short descriptions of the five papers selected for this special issue Two cover research work on localization of user interfaces and documentation (Boutsis et al and Bateman et al) and are published in this issue The other three cover research work on multilingual text retrieval (Gonzalo et al, Michos et al, and Azzamet al) and are to be published in issue no 7 Our goal is to show the readers that existing AI methods , although not always mature and near - to - market , can offer much help to support multilinguality in the software industry read more
References
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BookDOI
Cross-Language Information Retrieval
TL;DR: This work focuses on the development of a model for automatic Cross-Language Information Retrieval using Latent Semantic Indexing and its application to Machine Translation Technology.
Proceedings ArticleDOI
Querying across languages: a dictionary-based approach to multilingual information retrieval
TL;DR: This paper found that correct identification and translation of multi-word terminology is the single most important source of error in the system, although amblguit y in translation also contributes to poor performance.
Proceedings ArticleDOI
Termight: Identifying and Translating Technical Terminology
Ido Dagan,Kenneth Church +1 more
TL;DR: A semi-automatic tool that helps professional translators and terminologists identify technical terms and their translations using part-of-speech tagging and word-alignment programs in an interface designed to minimize keystrokes is proposed.
Proceedings ArticleDOI
Towards automatic extraction of monolingual and bilingual terminology
TL;DR: This paper makes use of linguistic knowledge to identify certain noun phrases, both in English and French, which are likely to be terms, and proposes a statistical method to build correspondences of multi-words units across languages.
Journal ArticleDOI
Enabling technology for multilingual natural language generation: the KPML development environment
TL;DR: KPML aims to provide generation projects with standardized, broad-coverage, reusable resources and a basic engine for using such resources for generation, based on a new, generic approach to multilinguality in resource description that extends significantly beyond previous approaches.