- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Berlin : VDE VERLAG, 2018 (ITG-Fachbericht / Informationstechnische Gesellschaft im VDE (ITG); 282)
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2018
- Creator
- DOI
-
10.18154/RWTH-CONV-236790
- URN
-
urn:nbn:de:101:1-2021021207340398619566
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:53 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
- Beck, Eugen
- Zeyer, Albert
- Doetsch, Patrick
- Merboldt, André
- Schlüter, Ralf
- Ney, Hermann
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2018
Other Objects (12)
Neural sequence-to-sequence modeling for language and speech translation
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation
Alignment models for recurrent neural networks
Alignment-based neural networks for machine translation
Alignment and localization in fine-grained image recognition
On The Alignment Problem in Multi-Head Attention-Based Neural Machine Translation
On using 2D sequence-to-sequence models for speech recognition
Language modeling and machine translation: improvements in training and modeling
An exploration of alignment concepts to bridge the gap between phrase-based and neural machine translation
Improvements in language and translation modeling
Discriminative feature modeling for statistical speech recognition
Neural sequence-to-sequence modeling for language and speech translation
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation
Alignment models for recurrent neural networks
Alignment-based neural networks for machine translation
Alignment and localization in fine-grained image recognition
On The Alignment Problem in Multi-Head Attention-Based Neural Machine Translation
On using 2D sequence-to-sequence models for speech recognition
Language modeling and machine translation: improvements in training and modeling
An exploration of alignment concepts to bridge the gap between phrase-based and neural machine translation
Improvements in language and translation modeling
Discriminative feature modeling for statistical speech recognition
Neural sequence-to-sequence modeling for language and speech translation
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation
Alignment models for recurrent neural networks
Alignment-based neural networks for machine translation
Alignment and localization in fine-grained image recognition
On The Alignment Problem in Multi-Head Attention-Based Neural Machine Translation
On using 2D sequence-to-sequence models for speech recognition
Language modeling and machine translation: improvements in training and modeling
An exploration of alignment concepts to bridge the gap between phrase-based and neural machine translation
Improvements in language and translation modeling