Official implementations for (1) BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation and (2) Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus
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Updated
Sep 21, 2023 - Python
Official implementations for (1) BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation and (2) Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus
Repository for "Uncertainty-Aware Machine Translation Evaluation", accepted to Findings of EMNLP 2021.
LEPOR: A Robust Evaluation Metric for Machine Translation with Augmented Factors
Repository for "BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation", accepted at EAMT 2023.
MAchine Translation Evaluation Online (MATEO)
We at the Telecommunication Research Center decided to test and evaluate the Tergoman machine translation system. This evaluation is done by 6 algorithms
Tools for the evaluation of audio captioning.
Evaluate the BLEU score significance statistically comparing Ref file and Tgt files among different machine translation systems
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
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
Long Short-Term Memory (LSTM) Model Implementation in order to train it to translate over Cap-verdian criole to English.
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
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
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