PSI-Toolkit: A Natural Language Processing Pipeline

  • Filip Graliński
  • Krzysztof Jassem
  • Marcin Junczys-Dowmunt
Part of the Studies in Computational Intelligence book series (SCI, volume 458)


The paper presents the main ideas and the architecture of the open source PSI-Toolkit, a set of linguistic tools being developed within a project financed by the Polish Ministry of Science and Higher Education. The toolkit is intended for experienced language engineers as well as casual users not having any technological background. The former group of users is delivered a set of libraries that may be included in their Perl, Python or Java applications. The needs of the latter group should be satisfied by a user friendly web interface. The main feature of the toolkit is its data structure, the so-called PSI-lattice that assembles annotations delivered by all PSI tools. This cohesive architecture allows the user to invoke a series of processes with one command. The command has the form of a pipeline of instructions resembling shell command pipelines known from Linux-based systems.


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  1. 1.
    Carme Armentano-Oller, C., Corbí-Bellot, A.M., Forcada, M.L., Ginestí-Rosell, M., Bonev, B., Ortiz-Rojas, S., Pérez-Ortiz, J.A., Ramírez-Sánchez, G., Sánchez-Martínez, F.: An open-source shallow-transfer machine translation toolbox: consequences of its release and availability. In: OSMaTran: Open-Source Machine Translation, A Workshop at Machine Translation Summit X, pp. 23–30 (September 2005)Google Scholar
  2. 2.
    Chanod, J.P., Tapanainen, P.: A non-deterministic tokeniser for finite-state parsing. In: ECAI 1996 Workshop on Extended Finite State Models of Language, August 11-12 (1996)Google Scholar
  3. 3.
    Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V., Aswani, N., Roberts, I., Gorrell, G., Funk, A., Roberts, A., Damljanovic, D., Heitz, T., Greenwood, M.A., Saggion, H., Petrak, J., Li, Y., Peters, W.: Text Processing with GATE, Version 6 (2011)Google Scholar
  4. 4.
    Dyer, C., Muresan, S., Resnik, P.: Generalizing word lattice translation. In: McKeown, K., Moore, J.D., Teufel, S., Allan, J., Furui, S. (eds.) ACL, The Association for Computer Linguistics, pp. 1012–1020 (2008)Google Scholar
  5. 5.
    Ellson, J., Gansner, E.R., Koutsofios, E., North, S.C., Woodhull, G.: Graphviz and dynagraph static and dynamic graph drawing tools. In: Graph Drawing Software, pp. 127–148. Springer (2003)Google Scholar
  6. 6.
    Hermes, J., Schwiebert, S.: Classification of text processing components: The tesla role system. In: GfKl, pp. 285–294 (2008)Google Scholar
  7. 7.
    Junczys-Dowmunt, M.: It’s all about the trees — towards a hybrid syntax-based MT system. In: Proceedings of IMCSIT, pp. 219–226 (2009)Google Scholar
  8. 8.
    Przepiórkowski, A., Buczyński, A.: \(\spadesuit\): Shallow parsing and disambiguation engine. In: Proceedings of the 3rd Language & Technology Conference, Poznań (2007)Google Scholar
  9. 9.
    Schmid, H.: A Programming Language for Finite State Transducers. In: Yli-Jyrä, A., Karttunen, L., Karhumäki, J. (eds.) FSMNLP 2005. LNCS (LNAI), vol. 4002, pp. 308–309. Springer, Heidelberg (2006)Google Scholar
  10. 10.
    Silberztein, M.: Nooj: a linguistic annotation system for corpus processing. In: Proceedings of HLT/EMNLP on Interactive Demonstrations, HLT-Demo 2005, pp. 10–11. Association for Computational Linguistics, Stroudsburg (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Filip Graliński
    • 1
  • Krzysztof Jassem
    • 1
  • Marcin Junczys-Dowmunt
    • 1
  1. 1.Faculty of Mathematics and Computer ScienceAdam Mickiewicz UniversityPoznańPoland

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