名字 发表于 2025-3-25 06:18:34

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

熔岩 发表于 2025-3-25 10:53:17

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搜寻 发表于 2025-3-25 13:20:40

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

seroma 发表于 2025-3-25 19:06:58

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

OREX 发表于 2025-3-25 23:58:08

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Baffle 发表于 2025-3-26 03:38:38

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小说 发表于 2025-3-26 07:51:49

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capsaicin 发表于 2025-3-26 09:59:45

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arboretum 发表于 2025-3-26 13:58:54

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枕垫 发表于 2025-3-26 18:50:43

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