Expanding a multilingual media monitoring and information extraction tool to a new language: Swahili

The Europe Media Monitor (EMM) family of applications is a set of multilingual tools that gather, cluster and classify news in currently fifty languages and that extract named entities and quotations (reported speech) from twenty languages. In this paper, we describe the recent effort of adding the...

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Veröffentlicht in:Language Resources and Evaluation Jg. 45; H. 3; S. 311 - 330
Hauptverfasser: Steinberger, Ralf, Ombuya, Sylvia, Kabadjov, Mijail, Pouliquen, Bruno, Rocca, Leo Della, Belyaeva, Jenya, de Paola, Monica, Ignat, Camelia, van der Goot, Erik
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Dordrecht Springer 01.09.2011
Springer Netherlands
Springer Nature B.V
Schlagworte:
Acknowledgment
African languages
Bantu languages
Classification
Clustering
Computational Linguistics
Computer Applications
Computer Generated Language Analysis
Computer Science
Computer software
Dictionaries
Extraction
Information management
Information retrieval
Language and Literature
Languages
Legal entities
Linguistics
Mass media
Media
Monitoring
Multilingualism
Names
Nonnative languages
Nouns
Original Paper
Quotations
Recognition
Reported Speech
Resources
Social Sciences
Speech
Speech recognition
Strapping
Swahili
Swahili language
Text Analysis
Text analytics
Texts
Verbs
Words
Italy
Netherlands
United States > US
Europe
Date recognition
Subject domain classification
Geo-tagging
Quotation recognition
News analysis
Swahili
Information extraction
Multilinguality
Named entity recognition and classification
Media monitoring
ISSN:1574-020X, 1572-8412, 1574-0218
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:The Europe Media Monitor (EMM) family of applications is a set of multilingual tools that gather, cluster and classify news in currently fifty languages and that extract named entities and quotations (reported speech) from twenty languages. In this paper, we describe the recent effort of adding the African Bantu language Swahili to EMM. EMM is designed in an entirely modular way, allowing plugging in a new language by providing the language-specific resources for that language. We thus describe the type of language-specific resources needed, the effort involved, and ways of boot-strapping the generation of these resources in order to keep the effort of adding a new language to a minimum. The text analysis applications pursued in our efforts include clustering, classification, recognition and disambiguation of named entities (persons, organisations and locations), recognition and normalisation of date expressions, as well as the identification of reported speech quotations by and about people.
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ISSN:1574-020X
1572-8412
1574-0218
DOI:10.1007/s10579-011-9155-y