Paper Info
Title
The FAUST Corpus of Adequacy Assessments for Real-World Machine Translation Output.
Abstract
We present a corpus consisting of 11,292 real-world English to Spanish automatic translations annotated with relative (ranking) and absolute (adequate/non-adequate) quality assessments. The translation requests, collected through the popular translation portal http://reverso.net, provide a most variated sample of real-world machine translation (MT) usage, from complete sentences to units of one or two words, from well-formed to hardly intelligible texts, from technical documents to colloquial and slang snippets. In this paper, we present 1) a preliminary annotation experiment that we carried out to select the most appropriate quality criterion to be used for these data, 2) a graph-based methodology inspired by Interactive Genetic Algorithms to reduce the annotation effort, and 3) the outcomes of the full-scale annotation experiment, which result in a valuable and original resource for the analysis and characterization of MT-output quality.
Year
Venue
Keywords
2012
LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Machine Translation,Quality Assessments,Annotated Corpus
Field
DocType
Citations 
Graph,Annotation,Ranking,FAUST,Computer science,Machine translation,Technical documentation,Speech recognition,Artificial intelligence,Natural language processing,Genetic algorithm,Slang
Conference
2
PageRank 
References 
Authors
0.38
4
3
Name
Order
Citations
PageRank
daniele pighin128918.72
Màrquez, Lluís22149169.81
Lluís Formiga3436.95