WMT16 Tuning Shared Task Models (Czech-to-English)

  Authors

Kamran, Amir ; Jawaid, Bushra ; Bojar, Ondřej and Stanojevic, Milos

  Item identifier

http://hdl.handle.net/11372/LRT-1671

 Project URL

http://www.statmt.org/wmt16/tuning-task/

 Date issued

2016-03-21

 Type

corpus, text

 Language(s)

Czech , English

 Description

The item contains models to tune for the WMT16 Tuning shared task for Czech-to-English. CzEng 1.6pre (http://ufal.mff.cuni.cz/czeng/czeng16pre) corpus is used for the training of the translation models. The data is tokenized (using Moses tokenizer), lowercased and sentences longer than 60 words and shorter than 4 words are removed before training. Alignment is done using fast_align (https://github.com/clab/fast_align) and the standard Moses pipeline is used for training. Two 5-gram language models are trained using KenLM: one only using the CzEng English data and the other is trained using all available English mono data for WMT except Common Crawl. Also included are two lexicalized bidirectional reordering models, word based and hierarchical, with msd conditioned on both source and target of processed CzEng.

 Publisher

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

 

University of Amsterdam, ILLC

 Acknowledgement

European Union

Project code: H2020-ICT-2014-1-645452

Project name: QT21: Quality Translation 21

 

Technology Foundation STW

Project code: 12271

Project name: Data-Powered Domain-Specific Translation Services On Demand (DatAptor)

 Subject(s)

WMT16 machine translation tuning baseline models shared task

 Collection(s)

LRT + Open Submissions Data & Tools

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