Variation in BLEU Score
I have some question on BLUE Score calculation for machine translation. I realized they may have a different metrics for BLEU. I found the code reports five value for BLEU, namely BLEU-1, BLEU-2, BLEU-3, BLEU-4 and finally BLEU, which seems to be an exponential average of the previous four BLEUs. Still it is not clear to me what the difference between those is. Do you have any ideas? Thanks
P.s. At first I thought that this question is more of a theoretical content and posted it on meta stackexange. A moderator has closed and commented it as a stackoverflow type question . So please don't punish me again. =)
source: http://www.statmt.org/book/slides/08-evaluation.pdf
I haven't heard of BLEU-1 and BLEU-2 but I guess it means 1-gram, 2-gram, 3-gram and 4-gram in the formula of BLEU score, I mean in the formula precision[i] = BLEU-i in your question:
- How to get spark.ml NaiveBayes probability vector not [0-1] class in Spark?
- Scaling Out-of-Sample Forecasts in a Model with Normalized Variables: Reverting to Original Scale
- How to plot decision boundary?
- Why is my convolutional model for detecting image rotation predicting the same class for every picture?
- What is the difference between pipeline and make_pipeline in scikit-learn?
- ValuerError: Found input variables with inconsistent numbers of samples
- Does using torch.where to threshold a tensor detach it tensor from the computational graph?
- Using ranking data in Logistic Regression
- SHAP - instances that have more than one dimension
- Unity ML-Agents --num-envs get env ID
- I load a float32 Hugging Face model, cast it to float16, and save it. How can I load it as float16?
- XGBClassifier.fit() got an unexpected keyword argument 'early_stopping_rounds'
- How do I scrape a whole table when they all use the same class?, I can so far get the names only
- How is nn.Linear applied to a higher dimensional data?
- tensorflow:Can save best model only with val_acc available, skipping
- Keras: Difference between Kernel and Activity regularizers
- How can one run a Core ML model on macOS 10.12?
- How to fix the learning-rate for Huggingface´s Trainer?
- Roboflow Vs. Darknet for generating weight file and creating the model
- What is the difference between backpropagation and reverse-mode autodiff?
- Load Registered Component in Azure ML for Pipeline using Python sdk v2
- classifiers in scikit-learn that handle nan/null
- Encoding two categorial data present in same dataset in Deep learning
- Machine learning in q/kdb+
- Why do the sensitivity (recall) values differ between classification_report and precision_recall_fscore_support in a loop?
- How do you specify the bfloat16 mixed precision with the Intel Extension for PyTorch?
- mlflow doesn't autolog artifacts while logging images
- Choosing top k models using GridSearchCV in scikit-learn
- Calculating pairwise distances between entries in a `torch.tensor`
- Reusing a feature to split regression decision tree's nodes