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Hits 1 – 9 of 9
1
Distribution and Acoustic Features of Extra Linguistic Sounds in the Waxholm Corpus
Atelach Alemu Argaw
;
Eva Forsbom
;
Ebba Gustavii
In: http://www.speech.kth.se/~rolf/NGSLT/gslt_papers_2004/atelach-ebba-eva-termpaper.pdf (2004)
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2
GSLT: Machine Learning, Autumn 2005
Atelach Alemu Argaw
;
Eva Forsbom
;
Teacher Joakim Nivre
In: http://stp.ling.uu.se/~evafo/gslt/ml/ml05_atelach_eva.pdf
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3
Amharic-English Information Retrieval
Atelach Alemu Argaw
;
Lars Asker
In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/atelachalemuargawCLEF2006.pdf
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4
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
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5
Amharic-English Information Retrieval with Pseudo Relevance Feedback
Atelach Alemu Argaw
In: http://www.clef-campaign.org/2007/working_notes/ArgawCLEF2007.pdf
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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
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7
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
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8
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
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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/aack/clef_aack.pdf
Abstract:
Abstract. We present two approaches to the Amharic- English bilin-gual track in CLEF 2004. Both experiments use a dictionary based ap-proach to translate the Amharic queries into English Bags-of-words, but while one approach removes non-content bearing words from the Amharic queries based on their IDF value, the other uses a list of English stop words to perform the same task. The resulting translated (English) terms are then submitted to a retrieval engine that supports the Boolean and vector-space models. In our experiments, the second approach (based on a list of English stop words) performs slightly better than the one based on IDF values for the Amharic terms. 1
URL:
http://www.sics.se/~jussi/Artiklar/2004_CLEF_Bath/arkiv/aack/clef_aack.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.9168
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