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by
julien-c
HF staff
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README.md
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---
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title: METEOR
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emoji: 🤗
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sdk: gradio
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app_file: app.py
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pinned: false
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tags:
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- evaluate
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- metric
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# Metric Card for METEOR
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## Metric description
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---
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title: METEOR
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emoji: 🤗
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colorFrom: blue
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colorTo: red
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sdk: gradio
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app_file: app.py
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pinned: false
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tags:
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- evaluate
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- metric
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description: >-
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METEOR, an automatic metric for machine translation evaluation
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that is based on a generalized concept of unigram matching between the
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machine-produced translation and human-produced reference translations.
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Unigrams can be matched based on their surface forms, stemmed forms,
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and meanings; furthermore, METEOR can be easily extended to include more
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advanced matching strategies. Once all generalized unigram matches
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between the two strings have been found, METEOR computes a score for
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this matching using a combination of unigram-precision, unigram-recall, and
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a measure of fragmentation that is designed to directly capture how
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well-ordered the matched words in the machine translation are in relation
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to the reference.
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METEOR gets an R correlation value of 0.347 with human evaluation on the
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Arabic
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data and 0.331 on the Chinese data. This is shown to be an improvement on
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using simply unigram-precision, unigram-recall and their harmonic F1
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combination.
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---
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# Metric Card for METEOR
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## Metric description
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