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"Frontmatter" Poznan Studies in Contemporary Linguistics, vol. 55, no. 2, 2019, pp. i-i. https://doi.org/10.1515/psicl-2019-frontmatter2

(2019). Frontmatter. Poznan Studies in Contemporary Linguistics, 55(2), i-i. https://doi.org/10.1515/psicl-2019-frontmatter2

(2019) Frontmatter. Poznan Studies in Contemporary Linguistics, Vol. 55 (Issue 2), pp. i-i. https://doi.org/10.1515/psicl-2019-frontmatter2

"Frontmatter" Poznan Studies in Contemporary Linguistics 55, no. 2 (2019): i-i. https://doi.org/10.1515/psicl-2019-frontmatter2

Frontmatter. Poznan Studies in Contemporary Linguistics. 2019;55(2): i-i. https://doi.org/10.1515/psicl-2019-frontmatter2

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Published Online: 2019-08-17

Published in Print: 2019-06-26

Artikel in diesem Heft

Frontmatter
Foreword
Automatic transcription of the Polish newsreel
Part of speech tagging for Polish
Named entity recognition for Polish
Recognition and normalisation of temporal expressions using conditional random fields and cascade of partial rules
Dependency parsing of Polish
A Weakly supervised word sense disambiguation for Polish using rich lexical resources
Nominal coreference resolution for Polish
Three-step coreference-based summarizer for Polish news texts
Sentiment analysis for Polish
Semantic approach for building generated virtual-parallel corpora from monolingual texts
Statistical versus neural machine translation – a case study for a medium size domain-specific bilingual corpus

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Frontmatter
Foreword
Automatic transcription of the Polish newsreel
Part of speech tagging for Polish
Named entity recognition for Polish
Recognition and normalisation of temporal expressions using conditional random fields and cascade of partial rules
Dependency parsing of Polish
A Weakly supervised word sense disambiguation for Polish using rich lexical resources
Nominal coreference resolution for Polish
Three-step coreference-based summarizer for Polish news texts
Sentiment analysis for Polish
Semantic approach for building generated virtual-parallel corpora from monolingual texts
Statistical versus neural machine translation – a case study for a medium size domain-specific bilingual corpus