Experience the intense campaigns that were Operation Market Garden, Plan Jaune (Fall Gelb) or Operation Overlord which stretched across farms, woods, villages and city areas of the Netherlands, Mountains and rivers of Belgium and shores of France.Post Scriptum is a WW2 themed tactical first-person shooter game, focusing on historical accuracy, large scale battles, a difficult learning curve and an intense need for cohesion, communication and teamwork.As the first learner corpus of Portuguese with error annotation, we expect COPLE2 to support new research in different fields connected with Portuguese as second/foreign language, like Second Language Acquisition/Teaching or Computer Assisted Learning.
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The model is planned in such a way as to reduce manual effort and rapidly increase the coverage of the error annotation over the full corpus. We explore the possibilities offered by the tokenlevel error annotation, POS and lemma to automatically generate the fine-grained error tags by applying conversion scripts. An inter-annotator (IAA) experiment was performed on the two stages of our system using Cohen’s kappa and it achieved good results on both levels. We compare our system with other proposals of error annotation, and discuss the fine-grained tag set and the experiments to validate its applicability. The token-based level has been applied to 47% of the total corpus.
We give a general overview of the corpus and of the TEITOK functionalities and describe how the error annotation is structured in a two-level system: first, a fully manual token-based and coarse-grained annotation is applied and produces a rough classification of the errors in three categories, paired with multi-level information for POS and lemma second, a multi-word and fine-grained annotation in standoff is then semi-automatically produced based on the first level of annotation. We present the general architecture of the error annotation system applied to the COPLE2 corpus, a learner corpus of Portuguese implemented on the TEITOK platform. This model will make it possible to integrate the different corpora and, more importantly, to provide easier user access to the information.
This paper will argue for the usefulness of adopting a standardized model based on the XML markup language, following the TEI consortium guidelines for the codification and labelling of historical corpora. The analysis shows that while there are no appreciable differences in the rigor and criteria applied to document transcription, there does not seem to be any agreement as to the way to process and structure the information - textual as well as meta-textual. Special attention will be given to the model used for six diachronic corpora: CHARTA, CODEA 2015, CORDIAM, CorLexIn, Post Scriptum and Cíbola, in order to reach methodological conclusions applicable to any future or incipient projects - such as the Oralia diacrónica del español (ODE) corpus, currently being prepared at the University of Granada. This article analyses the standard practice when compiling and producing European and American Spanish corpora for the period spanning from the end of the 15th century to the late 19th century. A number of issues encountered by the project teams are discussed, ranging from copyright and data sustainability to technical advances in data distribution. As such, ICC will contain approximately the same balance of forty percent of written language and 60 percent of spoken language distributed across 27 different text types and contexts. The ICC corpus is committed to the idea of re-using existing multilingual resources as much as possible and the design is modelled, with various adjustments, on the International Corpus of English (ICE). The goal of the project is to provide much-needed data for contrastive corpus-based linguistics. The languages currently covered are Czech, Finnish, French, German, Irish, Italian, Norwegian, Polish, Slovak, Swedish and, more recently, Chinese, as well as English, which is considered to be the pivot language. This paper reports on the efforts of twelve national teams in building the International Comparable Corpus (ICC ) that will contain highly comparable datasets of spoken, written and electronic registers.
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