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