42 citations · 90 across the 27 of their papers we have counts for
12 papers · 1 filter
Multi-task learning to improve natural language understanding
Stefan Constantin, Jan Niehues, Alex Waibel
Recently advancements in sequence-to-sequence neural network architectures have led to an improved natural language understanding. When building a neural network-based Natural Lang…
Towards Fluent Translations from Disfluent Speech
Elizabeth Salesky, Susanne Burger, Jan Niehues +1
When translating from speech, special consideration for conversational speech phenomena such as disfluencies is necessary. Most machine translation training data consists of well-f…
Towards one-shot learning for rare-word translation with external experts
Ngoc-Quan Pham, Jan Niehues, Alex Waibel
Neural machine translation (NMT) has significantly improved the quality of automatic translation models. One of the main challenges in current systems is the translation of rare wo…
A Hierarchical Approach to Neural Context-Aware Modeling
Patrick Huber, Jan Niehues, Alex Waibel
We present a new recurrent neural network topology to enhance state-of-the-art machine learning systems by incorporating a broader context. Our approach overcomes recent limitation…
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
Zhong Zhou, Matthias Sperber, Alex Waibel
Paraphrases, the rewordings of the same semantic meaning, are useful for improving generalization and translation. However, prior works only explore paraphrases at the word or phra…
Low-Latency Neural Speech Translation
Jan Niehues, Ngoc-Quan Pham, Thanh-Le Ha +2
Through the development of neural machine translation, the quality of machine translation systems has been improved significantly. By exploiting advancements in deep learning, syst…