DocumentCode
2253859
Title
Measuring the impact of cognates in parallel text alignment
Author
Bilbao, V. M Darriba ; Lopes, J. G Pereira ; Ildefonso, T.
Author_Institution
Dept. de Informatica, Univ. de Vigo, Orense
fYear
2005
fDate
5-8 Dec. 2005
Firstpage
338
Lastpage
343
Abstract
This paper evaluates the impact of considering cognates for aligning parallel texts using our aligner. By considering that two words may be cognates if their similarity is higher than a certain threshold and if they are automatically selected as aligners, we tested different degrees of cognativeness, by varying threshold values. A new methodology to measure the quality of resulting alignments is presented. Two language pairs are addressed: Portuguese-Spanish, and Portuguese-English
Keywords
language translation; natural language processing; text analysis; Portuguese-English languages; Portuguese-Spanish languages; machine translation; parallel text alignment; threshold values; Automatic testing; Data mining; Databases; Documentation; Error analysis; Humans; Information retrieval; Speech recognition; White spaces; Machine translation; Parallel text alignment; cognates; evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial intelligence, 2005. epia 2005. portuguese conference on
Conference_Location
Covilha
Print_ISBN
0-7803-9366-X
Electronic_ISBN
0-7803-9366-X
Type
conf
DOI
10.1109/EPIA.2005.341306
Filename
4145984
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