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
Repo for our attempt at the Shared Task (Quality Estimation) WMT2020. http://www.statmt.org/wmt20/quality-estimation-task.html
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
Repository for "BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation", accepted at EAMT 2023.
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"
MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem
Measuring Post-Edit density for Studio files and Across LS exports
several evaluation metrics for Machine Translation
MAchine Translation Evaluation Online (MATEO)
Repository for "Uncertainty-Aware Machine Translation Evaluation", accepted to Findings of EMNLP 2021.
LEPOR: A Robust Evaluation Metric for Machine Translation with Augmented Factors
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
Tools for the evaluation of audio captioning.
Phrase Tagset Mapping for French and English Treebanks and Its Application in Machine Translation Evaluation
We at the Telecommunication Research Center decided to test and evaluate the Tergoman machine translation system. This evaluation is done by 6 algorithms
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