Titlebook: Human Language Technology. Challenges for Computer Science and Linguistics; 7th Language and Tec Zygmunt Vetulani,Joseph Mariani,Marek Kubi

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Human Language Technology. Challenges for Computer Science and Linguistics978-3-319-93782-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Neural Networks Revisited for Proper Name Retrieval from Diachronic Documentshe information contained in a document. To increase the vocabulary coverage, a huge amount of text data should be used. In this paper, we extend the previously proposed neural networks for word embedding models: word vector representation proposed by Mikolov is enriched by an additional non-linear t

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Cross-Lingual Adaptation of Broadcast Transcription System to Polish Language Using Public Data Sourilt for Czech language) is adapted using common texts and speech recordings accessible from Polish web-pages. The most critical part, an acoustic model (AM) for Polish, is built in several steps, which include: (a) an initial bootstrapping phase that utilizes existing Czech AM, (b) a lightly-supervi

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capsaicin

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