Human judgements - PowerPoint PPT Presentation

Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis

Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis. Evgeniy Gabrilovich and Shaul Markovitch Israel Institute of Technology IJCAI 2007. Introduction. How related are “ cat ” and “ mouse ” ?

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371 views • 17 slides

METEOR-Ranking &amp; M-BLEU: Flexible Matching &amp; Parameter Tuning for MT Evaluation

METEOR-Ranking &amp; M-BLEU: Flexible Matching &amp; Parameter Tuning for MT Evaluation. Alon Lavie and Abhaya Agarwal Language Technologies Institute Carnegie Mellon University. METEOR.

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424 views • 15 slides

Meteor &amp; M-BLEU : Evaluation Metrics for High Correlation with Human Rankings of MT Output

Objective. MT Evaluation has become integral to the development of SMT systems which can be tuned towards the evaluation metrics directly. To be tuned against, a metric should be fast and easy to compute

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159 views • 1 slides

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Human judgements - PowerPoint PPT Presentation

Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis

METEOR-Ranking &amp;amp; M-BLEU: Flexible Matching &amp;amp; Parameter Tuning for MT Evaluation

Meteor &amp;amp; M-BLEU : Evaluation Metrics for High Correlation with Human Rankings of MT Output

METEOR-Ranking & M-BLEU: Flexible Matching & Parameter Tuning for MT Evaluation

Meteor & M-BLEU : Evaluation Metrics for High Correlation with Human Rankings of MT Output