Title
MASSAlign: Alignment and Annotation of Comparable Documents
Date Issued
01 January 2017
Access level
metadata only access
Resource Type
conference paper
Author(s)
University of Sheffield
Publisher(s)
Association for Computational Linguistics (ACL)
Abstract
We introduce MASSAlign: a Python library for the alignment and annotation of monolingual comparable documents. MASSAlign offers easy-to-use access to state of the art algorithms for paragraph and sentence-level alignment, as well as novel algorithms for word-level annotation of transformation operations between aligned sentences. In addition, MASSAlign provides a visualization module to display and analyze the alignments and annotations performed.
Start page
1
End page
4
Language
English
OCDE Knowledge area
Ciencias de la computación
Scopus EID
2-s2.0-85059883069
Resource of which it is part
8th International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP 2017, System Demonstrations
ISBN of the container
978-194808702-5
Conference
8th International Joint Conference on Natural Language Processing, IJCNLP 2017
Sponsor(s)
This work was partly supported by the EC project SIMPATICO (H2020-EURO-6-2015, grant number 692819).
Sources of information:
Directorio de Producción Científica
Scopus