1 / 6

Basic Rules of Engagement

Basic Rules of Engagement. Desired output of workshop teams Scores Justifications Computational procedures Pitfalls. Desired Output of Teams. On last two days You will be presenting your evaluations Methodology Basis for methodology Results Analysis of results

bcrisp
Download Presentation

Basic Rules of Engagement

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Basic Rules of Engagement • Desired output of workshop teams • Scores • Justifications • Computational procedures • Pitfalls

  2. Desired Output of Teams • On last two days • You will be presenting your evaluations • Methodology • Basis for methodology • Results • Analysis of results • Doing a short write-up of results • MT-Summit Workshop Strong-Arming

  3. Winning Scores • Really useful evaluations • Are objective • Are replicable • Not resource intensive • Scalability is keen • Are meaningful • To MT providers / developers • To MT users • To linguists / NLP researchers • Fit into the framework or inform changes • Can be applied across language pairs / families

  4. Justifications • Relationship to ISLE framework • Or reasonable argument for changing it • Relationship to linguistic / NLP research • Relationship to “real world” • Task-based evaluation

  5. Computational Procedures • Should speak to automating (as much as possible) evaluation process • Should be mathematically rigorous • Must reflect available data tools where possible • Caveats – bringing your own data • Request for sensitivity of current data sets

  6. Pitfalls • We only have a week • This is a workshop not a holy war • MT will not take the jobs of translators • Evaluation with respect to goal of output use, not the holy grail • Evaluation with respect to continuum of use (which pieces are best machine / human)

More Related