There are 1 repository under bleu topic.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Well tested & Multi-language evaluation framework for text summarization.
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
Image Caption metrics: Bleu、Cider、Meteor、Rouge、Spice
Code for paper title "Learning Semantic Sentence Embeddings using Pair-wise Discriminator" COLING-2018
A fast multithreaded C++ implementation of NLTK BLEU with Python wrapper.
Compute the price of a user hourly consommation from Enedis data export in the 3 regulated prices of EDF (tarif bleu)
Jointly Measuring Diversity and Quality in Text Generation Models
A python3 library for evaluating caption's BLEU, Meteor, CIDEr, SPICE,ROUGE_L,WMD score. Fork from https://github.com/ruotianluo/coco-caption
Machine Translation (MT) Evaluation Scripts
Evaluation tools for image captioning. Including BLEU, ROUGE-L, CIDEr, METEOR, SPICE scores.
MAchine Translation Evaluation Online (MATEO)
Implementation for paper BLEU: a Method for Automatic Evaluation of Machine Translation
An effective and simple tool to calculate SacreBLEU, Token-BLEU, BLEU w/ compound splitting for fairseq
A data driven query expansion approach for image caption, implemented in cpp
Automatic text metrics (BLEU, ROUGE, METEOR, +++)
Corpus level and sentence level BLEU calculation for machine translation
Investigates the reproducibility of METEOR scores in scientific papers. Includes a systematic literature review and validation of METEOR implementations.
Image caption generator is a task that involves computer vision and natural language processing concepts to recognize the context of an image and describe them in a natural language like English.
BLEU Score in Rust
Method for Automatic Evaluation of Machine Translation
A C# class library for calculating the BLEU score, a metric for evaluating the quality of machine translations.
Evaluation of MT metrics on the WMT-21 Metrics data for English→Russian.
Evaluation of MT metrics on the WMT-21 Metrics data for English→Russian.
Built a classifier for evaluating quality of machine translation to predict best matching sentence to the reference sentence
Python Implementation of lexical vector embedding similarity scoring, zero-shot classification of images and n-gram based scoring to compare textual summaries
Neural Dialogue Generation Benchmarks implemented TensorFlow 2.0
Hugging Face Transformers, a popular Python library, offers pre-trained models for various powerful toolkit for NLP tasks, opening doors to career opportunities and be part of the innovation that will change the world with shaping the future of human-machine interaction.
Transforme le pouce bleu en biceps sur les vidéos de tiboinshape