Continuous space language models for the IWSLT 2006 task

By Holger Schwenk, Marta Ruiz Costa-jussà, José A. R. Fonollosa. 2006

28 citations recorded by the source corpus.

Subfields: Natural Language Processing

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In Natural Language Processing

1. Kyunghyun Cho
2. Yoshua Bengio
3. Graham Neubig
4. Mohit Bansal
5. Christopher D. Manning
6. Yoav Goldberg
7. Felix Stahlberg
8. Jianfeng Gao

Citations in the corpus

• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation (2014, methodology): “In many cases, neural networks have been used to rescore translation hypotheses ( n -best lists) (see, e.g., (Schwenk et al., 2006)).”
• Large and Diverse Language Models for Statistical Machine Translation (2008, methodology): “This approach was successfully applied to language modeling in small (Schwenk et al., 2006) an medium-sized phrase-based SMT systems (D´echelotte et al., 2007).”