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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 An Empirical Approach to building an Amharic treebank Atelach Alemu; Lars Asker; Gunnar Eriksson In: http://w3.msi.vxu.se/~rics/TLT2003/doc/alemu_et_al.pdf (2003) BASE Show details 2 Acquiring a Lexicon by Actively Querying the User Lars Asker; Björn Gambäck In: http://www.dsv.su.se/~asker/papers/asker_gamback.ps (1995) BASE Show details 3 EBL²: An Approach to Automatic Lexical Acquisition Lars Asker; Björn Gambäck; Christer Samuelsson... In: http://acl.ldc.upenn.edu/C/C92/C92-4186.pdf (1992) BASE Show details 4 Amharic-English Information Retrieval Atelach Alemu Argaw; Lars Asker In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/atelachalemuargawCLEF2006.pdf BASE Show details 5 An Amharic Stemmer: Reducing Words to their Citation Forms Atelach Alemu Argaw; Lars Asker In: http://acl.ldc.upenn.edu/w/w07/W07-0814.pdf BASE Show details 6 Dictionary-based Amharic-French Information Retrieval Atelach Alemu Argaw; Lars Asker; Rickard Cöster... In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/argaw05.pdf BASE Show details 7 To appear in Information Retrieval c○Springer Verlag Classifying Amharic Webnews Lars Asker; Atelach Alemu; Argaw Björn Gambäck; Samuel Eyassu; Asfeha Lemma; Nigussie Habte; B. Gambäck (b In: http://www.sics.se/~gamback/publications/askerEA08.pdf 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 Keyword: Department of Computer and Systems Sciences; Stockholm; Stockholm University; Sweden URL: http://www.sics.se/~gamback/publications/askerEA08.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.5234 BASE Hide details 8 2004. Dictionary-based Amharic - English Information Retrieval Atelach Alemu Argaw; Lars Asker; Rickard Cöster... In: http://www.sics.se/%7Ejussi/Artiklar/2004_CLEF_Bath/SU_SICS_CLEF04.pdf BASE Show details 9 Dictionary based Amharic- English Information Retrieval Atelach Alemu Argaw; Lars Asker; Jussi Karlgren In: http://www.sics.se/~jussi/Artiklar/2004_CLEF_Bath/arkiv/report2 Folder/clef_aack.pdf BASE Show details 10 Dictionary based Amharic- English Information Retrieval Atelach Alemu Argaw; Lars Asker; Jussi Karlgren In: http://www.sics.se/~jussi/Artiklar/2004_CLEF_Bath/arkiv/aack/clef_aack.pdf BASE Show details

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