Summary of the paper

Title FastKwic, an “Intelligent“ Concordancer Using FASTR
Authors Véronika Lux-Pogodalla, Dominique Besagni and Karën Fort
Abstract In this paper, we introduce the FastKwic (Key Word In Context using FASTR), a new concordancer for French and English that does not require users to learn any particular request language. Built on FASTR, it shows them not only occurrences of the searched term but also of several morphological, morpho-syntactic and syntactic variants (for example, image enhancement, enhancement of image, enhancement of fingerprint image, image texture enhancement). Fastkwic is freely available. It consists of two UTF-8 compliant Perl modules that depend on several external tools and resources : FASTR, TreeTagger, Flemm (for French). Licenses of theses tools and resources permitting, the FastKwic package is nevertheless self-sufficient. FastKwic first modules is for terminological resource compilation. Its input is a list of terms - as required by FASTR. FastKwic second module is for processing concordances. It relies on FASTR again for indexing the input corpus with terms and their variants. Its output is a concordancer: for each term and its variants, the context of occurrence is provided.
Topics Tools, systems, applications, Corpus (creation, annotation, etc.), Information Extraction, Information Retrieval
Full paper FastKwic, an “Intelligent“ Concordancer Using FASTR
Slides FastKwic, an “Intelligent“ Concordancer Using FASTR
Bibtex @InProceedings{LUXPOGODALLA10.65,
  author = {Véronika Lux-Pogodalla and Dominique Besagni and Karën Fort},
  title = {FastKwic, an “Intelligent“ Concordancer Using FASTR},
  booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
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