Results of the WMT15 Tuning Shared Task

By Miloš Stanojević, Amir Kamran, Ondrej Bojar. 2015

8 citations recorded by the source corpus.

This paper presents the results of the WMT15 Tuning Shared Task. We provided the participants of this task with a complete machine translation system and asked them to tune its internal parameters (feature weights). The tuned systems were used to translate the test set and the outputs were manually ranked for translation quality. We received 4 submissions in the English-Czech and 6 in the Czech-English translation direction. In addition, we ran 3 baseline setups, tuning the parameters with standard optimizers for BLEU score.

Subfields: Artificial Intelligence, Machine Translation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Khalil Sima'an
2. Miloš Stanojević
3. Mitesh M. Khapra
4. Akash Kumar Mohankumar
5. Ananya B. Sai
6. Graham Neubig
7. Desmond Elliott
8. Maja Popovic

In Machine Translation

1. Khalil Sima'an
2. Miloš Stanojević

Citations in the corpus

• Evaluating MT systems with BEER (2015, methodology): “On the WMT15 tuning task for Czech-English BEER was the best submitted system falling behind only over the strong baseline (Stanojević et al. , 2015b).”