- Alternative title
-
Unüberwachtes Lernen mit Anwendungen bei der Verarbeitung natürlicher Sprache
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
RWTH Aachen University, Dissertation, 2019
- Keyword
-
Training
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2019
- Creator
- Contributor
- DOI
-
10.18154/RWTH-2019-10638
- URN
-
urn:nbn:de:101:1-2020081313191394731187
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:47 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Nuhn, Malte
- Ney, Hermann
- Juan, Alfons
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2019
Other Objects (12)
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
Improvements in language and translation modeling
Advancing neural language modeling in automatic speech recognition
Language modeling and machine translation: improvements in training and modeling
Handling multimodality and scarce resources in sign language machine translation
Investigation on language modelling approaches for open vocabulary speech recognition
Improving Neural Language Models with Weight Norm Initialization and Regularization
Automatic sign language recognition : from video corpora to gloss sentences
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition
Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks
Investigations on Phrase-based Decoding with Recurrent Neural Network Language and Translation Models
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
Improvements in language and translation modeling
Advancing neural language modeling in automatic speech recognition
Language modeling and machine translation: improvements in training and modeling
Handling multimodality and scarce resources in sign language machine translation
Investigation on language modelling approaches for open vocabulary speech recognition
Improving Neural Language Models with Weight Norm Initialization and Regularization
Automatic sign language recognition : from video corpora to gloss sentences
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition
Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks
Investigations on Phrase-based Decoding with Recurrent Neural Network Language and Translation Models
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
Improvements in language and translation modeling
Advancing neural language modeling in automatic speech recognition
Language modeling and machine translation: improvements in training and modeling
Handling multimodality and scarce resources in sign language machine translation
Investigation on language modelling approaches for open vocabulary speech recognition
Improving Neural Language Models with Weight Norm Initialization and Regularization
Automatic sign language recognition : from video corpora to gloss sentences
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition
Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks
Investigations on Phrase-based Decoding with Recurrent Neural Network Language and Translation Models