Título:
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Linguistic-based evaluation criteria to identify statistical machine translation errors
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Autor/a:
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Farrús Cabeceran, Mireia; Ruiz Costa-Jussà, Marta; Mariño Acebal, José Bernardo; Rodríguez Fonollosa, José Adrián
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
Abstract:
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Machine translation evaluation methods
are highly necessary in order to analyze the
performance of translation systems. Up to
now, the most traditional methods are the
use of automatic measures such as BLEU
or the quality perception performed by native
human evaluations. In order to complement
these traditional procedures, the
current paper presents a new human evaluation
based on the expert knowledge about
the errors encountered at several linguistic
levels: orthographic, morphological, lexical,
semantic and syntactic. The results obtained
in these experiments show that some
linguistic errors could have more influence
than other at the time of performing a perceptual evaluation. |
Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Translating machines -Linguistic analysis (Linguistics) -Traducció -Senyal, Teoria del (Telecomunicació) |
Derechos:
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Tipo de documento:
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Artículo - Versión publicada Objeto de conferencia |
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