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International Conference on Natural Language Processing

NLP 2010: Advances in Natural Language Processing pp 293–304Cite as

TectoMT: Modular NLP Framework

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6233))

Abstract

In the present paper we describe TectoMT, a multi-purpose open-source NLP framework. It allows for fast and efficient development of NLP applications by exploiting a wide range of software modules already integrated in TectoMT, such as tools for sentence segmentation, tokenization, morphological analysis, POS tagging, shallow and deep syntax parsing, named entity recognition, anaphora resolution, tree-to-tree translation, natural language generation, word-level alignment of parallel corpora, and other tasks. One of the most complex applications of TectoMT is the English-Czech machine translation system with transfer on deep syntactic (tectogrammatical) layer. Several modules are available also for other languages (German, Russian, Arabic). Where possible, modules are implemented in a language-independent way, so they can be reused in many applications.

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Authors and Affiliations

  1. Institute of Formal and Applied Linguistics, Charles University in Prague,  

    Martin Popel & Zdeněk Žabokrtský

Authors
  1. Martin Popel
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  2. Zdeněk Žabokrtský
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Editors and Affiliations

  1. School of Computer Science, Reykjavik University, Kringlan 1, 103, Reykjavik, Iceland

    Hrafn Loftsson

  2. Department of Icelandic, University of Iceland, Árnagardur v/Sudurgötu, 101, Reykjavik, Iceland

    Eiríkur Rögnvaldsson

  3. Arni Magnusson Institute for Icelandic Studies, Neshagi 16, 101, Reykjavik, Iceland

    Sigrún Helgadóttir

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Popel, M., Žabokrtský, Z. (2010). TectoMT: Modular NLP Framework. In: Loftsson, H., Rögnvaldsson, E., Helgadóttir, S. (eds) Advances in Natural Language Processing. NLP 2010. Lecture Notes in Computer Science(), vol 6233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14770-8_33

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  • DOI: https://doi.org/10.1007/978-3-642-14770-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14769-2

  • Online ISBN: 978-3-642-14770-8

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