Publication: Neural text normalization with adapted decoding and POS features
Neural text normalization with adapted decoding and POS features
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Ruzsics, T., Lusetti, M., Göhring, A., Samardžić, T., & Stark, E. (2019). Neural text normalization with adapted decoding and POS features. Natural Language Engineering, 25(5), 585–605. https://doi.org/10.1017/S1351324919000391
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Text normalization is the task of mapping noncanonical language, typical of speech transcription and computer-mediated communication, to a standardized writing. This task is especially important for languages such as Swiss German, with strong regional variation and no written standard. In this paper, we propose a novel solution for normalizing Swiss German WhatsApp messages using the encoder–decoder neural machine translation (NMT) framework. We enhance the performance of a plain character-level NMT model with the integration of a wor
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- Ruzsics, Tatyana
- Lusetti, Massimo
- Samardžić, Tanja
- Stark, Elisabeth
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Ruzsics, T., Lusetti, M., Göhring, A., Samardžić, T., & Stark, E. (2019). Neural text normalization with adapted decoding and POS features. Natural Language Engineering, 25(5), 585–605. https://doi.org/10.1017/S1351324919000391
