Title: Building a Multilingual Named Entity-Annotated Corpus Using Annotation Projection
Authors: EHRMANN MAUDTURCHI MARCOSTEINBERGER Ralf
Citation: Proceedings of Recent Advances in Natural Language Processing p. 118-124
Publisher: Socoma Ltd.
Publication Year: 2011
JRC N°: JRC65739
ISSN: 1313-8502
URI: http://lml.bas.bg/~iva/ranlp2011/RANLR2011_Proceedings.PDF
http://publications.jrc.ec.europa.eu/repository/handle/JRC65739
Type: Articles in periodicals and books
Abstract: As developers of a highly multilingual named entity recognition (NER) system, we face an evaluation resource bottleneck problem: we need evaluation data in many languages, the annotation should not be too time-consuming, and the evaluation results across languages should be comparable. We solve the problem by automatically annotating the English version of a multi-parallel corpus and by projecting the annotations into all the other language versions. For the translation of English entities, we use a phrase-based statistical machine translation system as well as a lookup of known names from a multilingual name database. For the projection, we incrementally apply different methods: perfect string matching, perfect consonant signature matching and edit distance similarity. The resulting annotated parallel corpus will be made available for reuse.
JRC Directorate:Space, Security and Migration

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.