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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 First version (v1) of the integrated platform/nand documentation Poch, Marc; Hamon, Olivier; Thurmair, Gregor. BASE Show details 2 Criteria for evaluation of resources, technology and integration Caselli, Tommaso; Quochi, Valeria; Arranz, Victoria. BASE Show details 3 Third evaluation report. Evaluation of PANACEA v3 and produced resources Quochi, Valeria; Frontini, Francesca; Bartolini, Roberto. BASE Show details 4 Architecture and design of the platform Poch, Marc; Prokopidis, Prokopis; Thurmair, Gregor. BASE Show details 5 Technologies and tools for corpus creation, normalization and annotation Prokopidis, Prokopis; Papavassiliou, Vassilis; Pecina, Pavel; Rimell, Laura; Poibeau, Thierry; Bartolini, Roberto; Caselli, Tommaso; Frontini, Francesca; Aleksic, Vera; Thurmair, Gregor; Poch, Marc; Bel Rafecas, Núria; Hamon, Olivier Abstract: The objectives of the Corpus Acquisition and Annotation (CAA) subsystem are the acquisition and processing of monolingual and bilingual language resources (LRs) required in the PANACEA context. Therefore, the CAA subsystem includes: i) a Corpus Acquisition Component (CAC) for extracting monolingual and bilingual data from the web, ii) a component for cleanup and normalization (CNC) of these data and iii) a text processing component (TPC) which consists of NLP tools including modules for sentence splitting, POS tagging, lemmatization, parsing and named entity recognition. This report presents the terminology used in this document in Section 2. The report explaines state-of-the-art and existing tools for corpus acquisition, corpus normalization, and text processing in Sections 3, 4 and 5 respectively. The resources to be produced in the context of WP4 are discussed in Section/n6. In Section 7 it presents the solution path we aim to explore for generating these resources. Keyword: automatic acquisition of lexicon; natural language processing; Panacea Project URL: http://hdl.handle.net/10230/22510 BASE Hide details 6 Third version (v4) of the integrated platform and documentation Poch, Marc; Hamon, Olivier; Quochi, Valeria. BASE Show details 7 Second version (v2) of the integrated platform and documentation Poch, Marc; Hamon, Olivier; Toral, Antonio. BASE Show details

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