281 |
Wörterbuch des Waldlappendialekts von Malå und Texte zur Ethnographie
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MPI-SHH Linguistik
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282 |
Lautlehre des waldlappischen Dialektes von Gällivare
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MPI-SHH Linguistik
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284 |
Sprachlehre des Westlappischen nach der Mundart von Arjeplog
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MPI-SHH Linguistik
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285 |
Hello Wisconsin (Won't You Find My Yonnie Yonson). ; On a little farm in Sweden, Miss Hilda Honson one day [first line] ; Hello Wisconsin! Won't you find my Yonnie Yonson? [first line of chorus]
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290 |
Multilingualismus erwachsener Migrantinnen und Migranten polnischer Herkunft in der Fremde : eine qualitative Untersuchung in Deutschland und Schweden
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IDS Mannheim
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291 |
Codeswitching als Mehrsprachigkeitspraxis in der universitären Kommunikation : eine Untersuchung am Beispiel von Germanisten in Schweden
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IDS Mannheim
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292 |
Activity Modalities – A Multi-dimensional Perspective on Coordination, Business Processes and Communication
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In: http://www.sysiac.org/uploads/lt_93-133.pdf
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293 |
Cornelius Rahmn and his works on the Kalmuck language Jan-Olof Svantesson*
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In: http://field.cneas.tohoku.ac.jp/img/pu01/asia013/06.pdf
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294 |
To appear in Information Retrieval c○Springer Verlag Classifying Amharic Webnews
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In: http://www.sics.se/~gamback/publications/askerEA08.pdf
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Abstract:
Abstract We present work aimed at compiling an Amharic corpus from the Web and automatically categorizing the texts. Amharic is the second most spoken Semitic language in the World (after Arabic) and used for countrywide communication in Ethiopia. It is highly inflectional and quite dialectally diversified. We discuss the issues of compiling and annotating a corpus of Amharic news articles from the Web. This corpus was then used in three sets of text classification experiments. Working with a less-researched language highlights a number of practical issues that might otherwise receive less attention or go unnoticed. The purpose of the experiments has not primarily been to develop a cutting-edge text classification system for Amharic, but rather to put the spotlight on some of these issues. The first two sets of experiments investigated the use of Self-Organizing Maps (SOMs) for document classification. Testing on small datasets, we first looked at classifying unseen data into ten predefined categories of news items, and then at clustering it around query content, when taking sixteen queries as class labels. The second set of experiments investigated the effect of operations such as stemming and part-of-speech tagging on text classification performance. We compared three representations while constructing classification models
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Keyword:
Department of Computer and Systems Sciences; Stockholm; Stockholm University; Sweden
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URL: http://www.sics.se/~gamback/publications/askerEA08.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.5234
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295 |
Rhetoric versus practice : strategic language education and socialization of immigrant children in Sweden, the preschool years
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