A Python 3 package with some of the most used machine translation metrics
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Updated
Jun 6, 2018 - Python
A Python 3 package with some of the most used machine translation metrics
Team project for CS 11-731 Machine Translation course.
Analyse Post-Edit density data to create post-processing rules
A C# class library for calculating the BLEU score, a metric for evaluating the quality of machine translations.
ChatGPT 4.0 and Italian Dialects: Assessing Linguistic Competence and Mastery - Data and Scripts
Repo for our attempt at the Shared Task (Quality Estimation) WMT2020. http://www.statmt.org/wmt20/quality-estimation-task.html
Measuring Post-Edit density for Studio files and Across LS exports
several evaluation metrics for Machine Translation
Long Short-Term Memory (LSTM) Model Implementation in order to train it to translate over Cap-verdian criole to English.
This repo contains the code for the paper "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation"
Phrase Tagset Mapping for French and English Treebanks and Its Application in Machine Translation Evaluation
MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem
hLEPOR: Language-independent Model for Machine Translation Evaluation with Reinforced Factors
Scripts for machine translation corpora filtering/ 机器翻译平行语料过滤的脚本
Evaluate the BLEU score significance statistically comparing Ref file and Tgt files among different machine translation systems
Tools for the evaluation of audio captioning.
We at the Telecommunication Research Center decided to test and evaluate the Tergoman machine translation system. This evaluation is done by 6 algorithms
MAchine Translation Evaluation Online (MATEO)
Repository for "BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation", accepted at EAMT 2023.
LEPOR: A Robust Evaluation Metric for Machine Translation with Augmented Factors
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