Literature DB >> 29780975

Ontology translation: A case study on translating the Gene Ontology from English to German.

Negacy D Hailu1, K Bretonnel Cohen1, Lawrence E Hunter1.   

Abstract

For many researchers, the purpose of ontologies is sharing data. This sharing is facilitated when ontologies are available in multiple languages, but inhibited when an ontology is only available in a single language. Ontologies should be accessible to people in multiple languages, since multilingualism is inevitable in any scientific work. Due to resource scarcity, most ontologies of the biomedical domain are available only in English at present. We present techniques to translate Gene Ontology terms from English to German using DBPedia, the Google Translate API for isolated terms, and the Google Translate API for terms in sentential context. Average fluency scores for the three methods were 4.0, 4.4, and 4.5, respectively. Average adequacy scores were 4.0, 4.9, and 4.9.

Entities:  

Year:  2014        PMID: 29780975      PMCID: PMC5954410          DOI: 10.1007/978-3-319-07983-7_4

Source DB:  PubMed          Journal:  Nat Lang Process Inf Syst


  3 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies.

Authors:  Helen L Johnson; K Bretonnel Cohen; William A Baumgartner; Zhiyong Lu; Michael Bada; Todd Kester; Hyunmin Kim; Lawrence Hunter
Journal:  Pac Symp Biocomput       Date:  2006

3.  Combining MEDLINE and publisher data to create parallel corpora for the automatic translation of biomedical text.

Authors:  Antonio Jimeno Yepes; Elise Prieur-Gaston; Aurélie Névéol
Journal:  BMC Bioinformatics       Date:  2013-04-30       Impact factor: 3.169

  3 in total

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