Text Normalization Using Encoder-Decoder Networks Based on the Causal Feature 
Extractor

Javaloy, Adrian; Garcia-Mateos, Gines

doi:10.3390/app10134551

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Text Normalization Using Encoder-Decoder Networks Based on the Causal Feature Extractor

Javaloy, A., & Garcia-Mateos, G. (2020). Text Normalization Using Encoder-Decoder Networks Based on the Causal Feature Extractor. Applied Sciences, 10(13): 4551. doi:10.3390/app10134551.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-DDE1-D Version Permalink: https://hdl.handle.net/21.11116/0000-000C-DDE2-C

Genre: Journal Article

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https://doi.org/10.3390/app10134551 (Publisher version) Open Access Gold

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Creators:
Javaloy, Adrian¹, Author
Garcia-Mateos, Gines², Author

Affiliations:
1Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344694
2External Organizations, ou_persistent22

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Free keywords: Forschungsgruppe Valera

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Language(s): eng - English

Dates: Published Online: 2020-06-30

Publication Status: Published online

Pages: 22

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Identifiers: DOI: 10.3390/app10134551
BibTex Citekey: Javaloy_2020_2_CD

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Title: Applied Sciences

Abbreviation : Appl. Sci.

Source Genre: Journal

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Publ. Info: Basel, Schweiz : MDPI

Pages: - Volume / Issue: 10 (13) Sequence Number: 4551 Start / End Page: - Identifier: ISSN: 2076-3417
CoNE: https://pure.mpg.de/cone/journals/resource/2076-3417