Investigations on Phrase-based Decoding with Recurrent Neural Network Language and Translation Models
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Tenth Workshop on Statistical Machine Translation , Lisbon , Portugal , WMT2015
In: 10.18653/v1/W15-3034
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2015
- Urheber
- URN
-
urn:nbn:de:hbz:82-RWTH-2016-06221
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:51 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Alkhouli, Tamer
- Rietig, Felix
- Ney, Hermann
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2015
Ähnliche Objekte (12)
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Alignment models for recurrent neural networks
Extended Translation Models in Phrase-based Decoding
An exploration of alignment concepts to bridge the gap between phrase-based and neural machine translation
Progress in Decoding for Large Vocabulary Continuous Speech Recognition
Effective training and efficient decoding for statistical machine translation
Generative Training and Smoothing of Hierarchical Phrase-Based Translation Models
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition
Context-aware neural machine translation
Neural machine translation for low-resource scenarios
Alignment-based neural networks for machine translation
Statistical models for hierarchical phrase-based machine translation
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Alignment models for recurrent neural networks
Extended Translation Models in Phrase-based Decoding
An exploration of alignment concepts to bridge the gap between phrase-based and neural machine translation
Progress in Decoding for Large Vocabulary Continuous Speech Recognition
Effective training and efficient decoding for statistical machine translation
Generative Training and Smoothing of Hierarchical Phrase-Based Translation Models
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition
Context-aware neural machine translation
Neural machine translation for low-resource scenarios
Alignment-based neural networks for machine translation
Statistical models for hierarchical phrase-based machine translation
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Alignment models for recurrent neural networks
Extended Translation Models in Phrase-based Decoding
An exploration of alignment concepts to bridge the gap between phrase-based and neural machine translation
Progress in Decoding for Large Vocabulary Continuous Speech Recognition
Effective training and efficient decoding for statistical machine translation
Generative Training and Smoothing of Hierarchical Phrase-Based Translation Models
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition
Context-aware neural machine translation
Neural machine translation for low-resource scenarios
Alignment-based neural networks for machine translation