EMNLP 2011 SIXTH WORKSHOP
ON STATISTICAL MACHINE TRANSLATION

Shared Task: Automatic Evaluation Metrics

July 30 - 31, 2011
Edinburgh, UK

[HOME] | [TRANSLATION TASK] | [FEATURED TRANSLATION TASK] | [SYSTEM COMBINATION TASK] | [EVALUATION TASK]
[BASELINE SYSTEM] | [BASELINE SYSTEM 2]
[SCHEDULE] | [PAPERS] | [AUTHORS]

The shared evaluation task of the workshop will examine automatic evaluation metrics for machine translation. We will provide all of the translations produced in the translation task and the system combination task, as well as the reference human translations. You will return rankings for each of the translations at the system-level and/or at the sentence-level. We will calculate the correlation of your rankings with the human judgements once the manual evaluation has been completed.

Goals

The goals of the shared evaluation task are:

Task Description

We will provide the output of machine translation systems for five different language pairs (French-English, Spanish-English, German-English, Czech-English, Haitian Creole-English), and will give you the reference translations in each of those languages. You will provide scores for each of the outputs at the system-level and the sentence-level. If your automatic metric does not produce sentence-level scores, you can participate in just the system-level ranking. If your automatic metric uses linguistic annotation and cannot work with translations into languages other than English, you are free to assign scores only for translations into English.

We will measure the goodness of automatic evaluation metrics in the following ways:

Submission Format

Once we receive the system outputs from the translation task and the system combination task we will post all of the system outputs for you to score with your metric. The translations will be distributed as plain text files with one translation per line. (We can also provide the output in the NIST MT Evaluation Workshop's XML format. Please contact us if this format is easier for you.)

The output of your software should produce scores for the translations either at the system-level or the segment-level (or preferably both).

Output file format for system-level rankings

The output files for system-level rankings should be formatted in the following way:

<METRIC NAME>   <LANG-PAIR>   <TEST SET>   <SYSTEM>   <SYSTEM LEVEL SCORE>
Where: Each field should be delimited by a single tab character.

Output file format for segment-level rankings

The output files for segment-level rankings should be formatted in the following way:

<METRIC NAME>   <LANG-PAIR>   <TEST SET>   <SYSTEM>   <SEGMENT NUMBER>   <SEGMENT SCORE>
Where: Each field should be delimited by a single tab character.

Past Years' Data

The system outputs and human judgments from the last three years' workshops is available for download from the following links:


You can use them to tune your metric's free parameters if it has any. If you want to report results in your paper, you can use this data to compare the performance of your metric against the published results from past years.

Last year's data contains all of the system's translations, the source documents and reference human translations and the human judgments of the translation quality.

Other Requirements

If you participate in the evaluation shared task, we ask you to commit about 8 hours of time to do the manual evaluation. The evaluation will be done with an online tool.

You are invited to submit a short paper (4 to 6 pages) describing your automatic evaluation metric. You are not required to submit a paper if you do not want to. If you don't, we ask that you give an appropriate reference describing your metric that we can cite in the overview paper.

IMPORTANT DATES

Translations from individual systems and combinations released for evaluation (download tarball)April 8, 2011
System- and segment-level rankings due (email to ccb@cs.jhu.edu)April 22, 2011
Paper submission deadlineMay 19, 2011
Manual judgment data availableJuly 28, 2011

supported by the EuroMatrixPlus project
P7-IST-231720-STP
funded by the European Commission
under Framework Programme 7