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        <namePart type="given">Gustavo</namePart>
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        <namePart type="given">Lucia</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T MASSAlign: Alignment and Annotation of Comparable Documents
%A Paetzold, Gustavo
%A Alva-Manchego, Fernando
%A Specia, Lucia
%Y Park, Seong-Bae
%Y Supnithi, Thepchai
%S Proceedings of the IJCNLP 2017, System Demonstrations
%D 2017
%8 November
%I Association for Computational Linguistics
%C Tapei, Taiwan
%F paetzold-etal-2017-massalign
%X 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.
%U https://aclanthology.org/I17-3001
%P 1-4

Markdown (Informal)

[MASSAlign: Alignment and Annotation of Comparable Documents](https://aclanthology.org/I17-3001) (Paetzold et al., IJCNLP 2017)

• MASSAlign: Alignment and Annotation of Comparable Documents (Paetzold et al., IJCNLP 2017)

ACL

• Gustavo Paetzold, Fernando Alva-Manchego, and Lucia Specia. 2017. MASSAlign: Alignment and Annotation of Comparable Documents. In Proceedings of the IJCNLP 2017, System Demonstrations, pages 1–4, Tapei, Taiwan. Association for Computational Linguistics.