We should be wary of very high BLEU scores (in excess of 0.7) as it is probably measuring improperly or overfitting. The BLEU metric also gives higher scores to sequential matching words.
BLEU compares the n-gram of the candidate translation with n-gram of the reference translation to count the number of matches. These matches are independent of the positions where they occur. The more the number of matches between candidate and reference translation, the better is the machine translation.
Meteor (Metric for Evaluation of Translation with Explicit ORdering) Score. A Meteor (Metric for Evaluation of Translation with Explicit ORdering) Score is a MT metric that is based on the harmonic mean of unigrams' precision and recall. AKA: Meteor Metric, Meteor Automatic Evaluation Metric, Meteor Score.
Bleu or BLEU may refer to: the French word for blue.
2 Answers
- ROUGE-n recall=40% means that 40% of the n-grams in the reference summary are also present in the generated summary.
- ROUGE-n precision=40% means that 40% of the n-grams in the generated summary are also present in the reference summary.
- ROUGE-n F1-score=40% is more difficult to interpret, like any F1-score.
Some common intrinsic metrics to evaluate NLP systems are as follows:
- Accuracy.
- Precision.
- Recall.
- F1 Score.
- Area Under the Curve (AUC)
- Mean Reciprocal Rank (MRR)
- Mean Average Precision (MAP)
- Root Mean Squared Error (RMSE)
In using BLEU for machine translation evaluation, however, re- searchers developed methods to validate automatic approaches. ROUGE is recall-oriented, unlike BLEU, which emphasizes precision. The new recall-oriented n-gram counting was shown to correlate better than BLEU with DUC coverage scores.
The basic approach involves linking the structure of the input sentence with the structure of the output sentence using a parser and an analyzer for the source language, a generator for the target language, and a transfer lexicon for the actual translation.
It is language independent. It correlates highly with human evaluation. It has been widely adopted.
Precision is one indicator of a machine learning model's performance – the quality of a positive prediction made by the model. Precision refers to the number of true positives divided by the total number of positive predictions (i.e., the number of true positives plus the number of false positives).
The name Bleu is a girl's name of French origin meaning "blue". The middle name of the Travoltas' Ella, this French color alternative hasn't caught on with many other parents.
Sacrebleu! Sacrebleu is a very old fashioned French curse, which is rarely used by the French these days. An English equivalent would be “My Goodness!†or “Golly Gosh!†It was once considered very offensive.
