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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| Published in | Language Resources and Evaluation Vol. 45; no. 3; pp. 311 - 330 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Dordrecht
Springer
01.09.2011
Springer Netherlands Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1574-020X 1572-8412 1574-0218 |
| DOI | 10.1007/s10579-011-9155-y |
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| Abstract | 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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| AbstractList | 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. Adapted from the source document 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. Issue Title: Special Issue on African Language Technology 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.[PUBLICATION ABSTRACT] |
| Author | Pouliquen, Bruno Kabadjov, Mijail Rocca, Leo Della Belyaeva, Jenya van der Goot, Erik Ombuya, Sylvia de Paola, Monica Steinberger, Ralf Ignat, Camelia |
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| Keywords | Date recognition Subject domain classification Geo-tagging Quotation recognition News analysis Swahili Information extraction Multilinguality Named entity recognition and classification Media monitoring |
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| References | De PauwGde SchryverG-MWagachaPWA corpus-based survey of four electronic Swahili–English bilingual dictionariesLexikos200919340352 Pouliquen, B., Kimler, M., Steinberger, R., Ignat, C., Oellinger, T., Blackler, K., et al. (2006). Geocoding multilingual texts: Recognition, disambiguation and visualisation. In Proceedings of LREC’2006, (pp. 53–58). Genoa, Italy, 24–26 May 2006. Sproat, R., Roth, D., Zhai, C., Benmamoun, E., Fister, A., Karlinsky, N., et al. (2005). Named entity recognition and transliteration for 50 languages. Keynote address at the second midwest computational linguistics colloquium, 14–15 May 2010, The Ohio State University. Landauer, T., & Littman, M. (1991). A statistical method for language-independent representation of the topical content of text segments. In 11th International conference expert systems and their applications (Vol. 8, pp. 77–85), Avignon, France. De Pauw, G., Wagacha, P., & de Schryver, G.-M. (2011). Exploring the SAWA corpus—Collection and deployment of a parallel corpus English—Swahili. Language Resources and Evaluation Journal. Special Issue on African Language Technology, Springer. Wactlar, H. (1999). New directions in video information extraction and summarization. In Proceedings of the 10th DELOS workshop (pp. 1–10). Sanorini, Greece. Ng’ang’a, W. (2005). Word sense disambiguation of Swahili: Extending Swahili language technology with machine learning. Ph.D. thesis, Helsinki University. Steinberger, R., Fuart, F., van der Goot, E., Best, C., von Etter, P., & Yangarber, R. (2008b). Text mining from the web for medical intelligence. In F. Fogelman-Soulié, D. Perrotta, J. Piskorski, & R. Steinberger (Eds.), Mining massive data sets for security (pp. 295–310). Amsterdam, The Netherlands: IOS Press. Pastra, K., Maynard, D., Hamza, O., Cunningham, H., & Wilks, Y. (2002). How feasible is the reuse of grammars for Named Entity Recognition? In Proceedings of LREC (pp. 412–1418). Las Palmas, Spain. Steinberger, R., Pouliquen, B., & van der Goot, E. (2009). An Introduction to the Europe media monitor family of applications. In F. Gey, N. Kando, & J. Karlgren (Eds.), Information access in a multilingual world. Proceedings of SIGIR-CLIR (pp. 1–8). Boston, USA. 23 July 2009. Shah, R., Lin, B., Gershman, A., & Frederking, R. (2010). SYNERGY: A named entity recognition system for resource-scarce languages such as Swahili using online machine translation. In Proceedings of the second workshop on African language technology (AfLAT), Malta, 9 July 2010. CareniniM.WhyteA.BertorelloL.VanocchiM.Improving communication in E-democracy using natural language processingIn IEEE Intelligent Systems20072212027 Wentland, W., Knopp, J., Silberer, C., Hartung, M. (2008). Building a multilingual lexical resource for named entity disambiguation, translation and transliteration. In Proceedings of LREC (pp. 3230–3237). Genoa, Italy. De PauwGde SchryverG-MImproving the computational morphological analysis of a Swahili corpus for lexicographic purposesLexikos200818303318 Steinberger, R., Pouliquen, B., & Ignat, C. (2008a). Using language-independent rules to achieve high multilinguality in text mining. In F. Fogelman-Soulié, D. Perrotta, J. Piskorski, & R. Steinberger (Eds.), Mining massive data sets for security (pp. 217–240). Amsterdam, The Netherlands: IOS Press. VinokourovAShawe-TaylorJCristianiniNInferring a semantic representation of text via cross-language correlation analysisAdvances of Neural Information Processing Systems20021514731480 Ignat, C., Pouliquen, B., Ribeiro, A., & Steinberger, R. (2003). Extending an information extraction tool set to central and eastern European languages. In Proceedings of the workshop information extraction for slavonic and other central and eastern European languages (IESL’2003) (pp. 33–39). Borovets, Bulgaria, 8–9 Sep 2003. Pouliquen, B., Steinberger, R., & Best, C. (2007). Automatic detection of quotations in multilingual news. In Proceedings of the international conference recent advances in natural language processing (RANLP’2007) (pp. 487–492). Borovets, Bulgaria, 27–29.09.2007. Bering, C., Drożdżyński, W., Erbach, G., Guasch, L., Homola, P., Lehmann, S., et al. (2003). Corpora and evaluation tools for multilingual named entity grammar development. In Proceedings of the multilingual corpora workshop at corpus linguistics (pp. 42–52). Lancaster, UK. De Pauw, G., de Schryver, G.-M., & Wagacha, P. W. (2006). Data-driven part-of-speech tagging of Kiswahili. In Text, speech and dialogue (Vol. 4188, pp. 197–204). Berlin: Springer. MaynardD.TablanV.CunninghamH.UrsuC.SaggionH.BontchevaK.WilksY.Architectural elements of language engineering robustnessNatural Language Engineering200283257274 Gamon, M., Lozano, C., Pinkham, J., & Reutter, T. (1997). Practical experience with grammar sharing in multilingual NLP. In Proceedings of ACL/EACL, Madrid, Spain, pp. 49–56. Steinberger, R. (2011). A survey of methods to ease the development of highly multilingual text mining applications. Language Resources and Evaluation Journal, Special issue on LREC’2010. Manny, R., & Bouillon, P. (1996). Adapting the core language engine to French and Spanish. In Proceedings of the international conference NLP+IA,( pp. 224–232). Mouncton, Canada. Pouliquen, B., & Steinberger, R. (2009). Automatic construction of multilingual name dictionaries. In C. Goutte, N. Cancedda, M. Dymetman & G. Foster (Eds.), Learning machine translation (pp. 59–78). Cambridge: MIT Press—Advances in Neural Information Processing Systems Series (NIPS). Yarowski, D., Ngai, G., & Wicentowski, R. (2001). Inducing multilingual text analysis tools via robust projection across aligned corpora. In Proceedings of the 1st international conference on Human Language Technology research (HLT) (pp. 1–8). Stroudsburg, PA, USA. Leek, T., Jin, H., Sista, S., & Schwartz, R. (1999). The BBN crosslingual topic detection and tracking system. In 1999 TDT evaluation system summary papers (pp. 214–221). Vienna, VA, USA. OchF.NeyH.A systematic comparison of various statistical alignment modelsComputational Linguistics20032911951 9155_CR27 9155_CR26 9155_CR24 G De Pauw (9155_CR3) 2008; 18 9155_CR28 9155_CR6 9155_CR23 9155_CR7 9155_CR22 A Vinokourov (9155_CR25) 2002; 15 9155_CR8 9155_CR21 9155_CR9 9155_CR20 9155_CR2 9155_CR4 G De Pauw (9155_CR5) 2009; 19 9155_CR1 9155_CR16 9155_CR15 9155_CR14 9155_CR13 9155_CR19 9155_CR18 9155_CR17 9155_CR12 9155_CR11 9155_CR10 |
| References_xml | – reference: De PauwGde SchryverG-MImproving the computational morphological analysis of a Swahili corpus for lexicographic purposesLexikos200818303318 – reference: Pouliquen, B., Kimler, M., Steinberger, R., Ignat, C., Oellinger, T., Blackler, K., et al. (2006). Geocoding multilingual texts: Recognition, disambiguation and visualisation. In Proceedings of LREC’2006, (pp. 53–58). Genoa, Italy, 24–26 May 2006. – reference: MaynardD.TablanV.CunninghamH.UrsuC.SaggionH.BontchevaK.WilksY.Architectural elements of language engineering robustnessNatural Language Engineering200283257274 – reference: Steinberger, R., Fuart, F., van der Goot, E., Best, C., von Etter, P., & Yangarber, R. (2008b). Text mining from the web for medical intelligence. In F. Fogelman-Soulié, D. Perrotta, J. Piskorski, & R. Steinberger (Eds.), Mining massive data sets for security (pp. 295–310). Amsterdam, The Netherlands: IOS Press. – reference: De Pauw, G., Wagacha, P., & de Schryver, G.-M. (2011). Exploring the SAWA corpus—Collection and deployment of a parallel corpus English—Swahili. Language Resources and Evaluation Journal. Special Issue on African Language Technology, Springer. – reference: Pouliquen, B., & Steinberger, R. (2009). Automatic construction of multilingual name dictionaries. In C. Goutte, N. Cancedda, M. Dymetman & G. Foster (Eds.), Learning machine translation (pp. 59–78). Cambridge: MIT Press—Advances in Neural Information Processing Systems Series (NIPS). – reference: Manny, R., & Bouillon, P. (1996). Adapting the core language engine to French and Spanish. In Proceedings of the international conference NLP+IA,( pp. 224–232). Mouncton, Canada. – reference: Ignat, C., Pouliquen, B., Ribeiro, A., & Steinberger, R. (2003). Extending an information extraction tool set to central and eastern European languages. In Proceedings of the workshop information extraction for slavonic and other central and eastern European languages (IESL’2003) (pp. 33–39). Borovets, Bulgaria, 8–9 Sep 2003. – reference: Leek, T., Jin, H., Sista, S., & Schwartz, R. (1999). The BBN crosslingual topic detection and tracking system. In 1999 TDT evaluation system summary papers (pp. 214–221). Vienna, VA, USA. – reference: CareniniM.WhyteA.BertorelloL.VanocchiM.Improving communication in E-democracy using natural language processingIn IEEE Intelligent Systems20072212027 – reference: De Pauw, G., de Schryver, G.-M., & Wagacha, P. W. (2006). Data-driven part-of-speech tagging of Kiswahili. In Text, speech and dialogue (Vol. 4188, pp. 197–204). Berlin: Springer. – reference: OchF.NeyH.A systematic comparison of various statistical alignment modelsComputational Linguistics20032911951 – reference: Gamon, M., Lozano, C., Pinkham, J., & Reutter, T. (1997). Practical experience with grammar sharing in multilingual NLP. In Proceedings of ACL/EACL, Madrid, Spain, pp. 49–56. – reference: Steinberger, R., Pouliquen, B., & Ignat, C. (2008a). Using language-independent rules to achieve high multilinguality in text mining. In F. Fogelman-Soulié, D. Perrotta, J. Piskorski, & R. Steinberger (Eds.), Mining massive data sets for security (pp. 217–240). Amsterdam, The Netherlands: IOS Press. – reference: Sproat, R., Roth, D., Zhai, C., Benmamoun, E., Fister, A., Karlinsky, N., et al. (2005). Named entity recognition and transliteration for 50 languages. Keynote address at the second midwest computational linguistics colloquium, 14–15 May 2010, The Ohio State University. – reference: Pouliquen, B., Steinberger, R., & Best, C. (2007). Automatic detection of quotations in multilingual news. In Proceedings of the international conference recent advances in natural language processing (RANLP’2007) (pp. 487–492). Borovets, Bulgaria, 27–29.09.2007. – reference: Yarowski, D., Ngai, G., & Wicentowski, R. (2001). Inducing multilingual text analysis tools via robust projection across aligned corpora. In Proceedings of the 1st international conference on Human Language Technology research (HLT) (pp. 1–8). Stroudsburg, PA, USA. – reference: Wactlar, H. (1999). New directions in video information extraction and summarization. In Proceedings of the 10th DELOS workshop (pp. 1–10). Sanorini, Greece. – reference: Ng’ang’a, W. (2005). Word sense disambiguation of Swahili: Extending Swahili language technology with machine learning. Ph.D. thesis, Helsinki University. – reference: Wentland, W., Knopp, J., Silberer, C., Hartung, M. (2008). Building a multilingual lexical resource for named entity disambiguation, translation and transliteration. In Proceedings of LREC (pp. 3230–3237). Genoa, Italy. – reference: Landauer, T., & Littman, M. (1991). A statistical method for language-independent representation of the topical content of text segments. 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| Title | Expanding a multilingual media monitoring and information extraction tool to a new language: Swahili |
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