Hybrid Machine Translation Oriented to Cross-Language Information Retrieval: English-Spanish Error Analysis
MetadataShow full item record
Springer International Publishing
Cross-language information retrievalHybrid machine translation systemsTranslation errorsPost-editing
Gutiérrez-Artacho, J., Olvera-Lobo, M.-D., & Rivera-Trigueros, I. (2019). Hybrid Machine Translation Oriented to Cross-Language Information Retrieval: English-Spanish Error Analysis. En New Knowledge in Information Systems and Technologies (pp. 185-194). Springer International Publishing. https://doi.org/10.1007/978-3-030-16181-1_18
ABSTRACT: The main objective of this study focuses on analysing the automatic translation of questions (intended as query inputs to a Cross-Language Information Retrieval System) and on the creation of a taxonomy of translation errors present in hybrid machine translation (HMT) systems. An analysis of translations by HMT systems was carried out. From these, there is a proposal of a type 1, 2 or 3 error taxonomy weighted according to their level of importance. Results indicate that post-editing is an essential task in the automatic translation process.