Knowledge-Driven Multilingual Text Analysis and Transparent Information Retrieval by Thurmair, Gregor;

Language Technology for Industrial Applications

Series: Cognitive Technologies;

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Product details:

Publisher Springer Nature Switzerland
Date of Publication 10 October 2025
Number of Volumes 1 pieces, Book

ISBN 9783031917400
Binding Hardback
No. of pages393 pages
Size 235x155 mm
Language English
Illustrations XIV, 393 p. 174 illus., 170 illus. in color. Illustrations, black & white

Long description:

This book presents all components and knowledge sources required for Transparent Information Retrieval. Depending on the respective topic and taking care of their interoperability, both deep and shallow technology is used. The processing starts from the analysis of the text data and collects its results in a multilingual conceptual network, this way enabling Transparent Information Retrieval where users communicate with the system in their native language while the documents could be in a different language, transparent to the users.

To do so, the author investigates all text analysis components required for multilingual indexing, starting from preparatory work like language and topic identification, continuing with sentence splitting and tokenization (including Chinese), and describing lexical analysis, also for multiword entries and Named Entities. Entries are then disambiguated both on syntactic (by a tagger) and semantic level (by multilingual word sense disambiguation). The analysis results are collected in a dynamic multilingual ConceptNet, which is an index structure extended by monolingual relations (like synonyms, or head-modifier links) as well as multilingual ones (translations). In addition to many European languages also Turkish, Arabic, Persian, and Chinese are treated.

The book concludes with a description of components needed to build the required resources, like crawlers, bilingual term extraction, and tools for defaulting linguistic annotations. For each component, readers will find a technology overview, a discussion of its main challenges in computational treatment, a description of the technical solution selected, and evaluation information.