This repo contains the code for the paper "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation"
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Updated
Apr 8, 2024 - Python
This repo contains the code for the paper "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation"
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
A C# class library for calculating the BLEU score, a metric for evaluating the quality of machine translations.
MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem
ChatGPT 4.0 and Italian Dialects: Assessing Linguistic Competence and Mastery - Data and Scripts
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 "BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation", accepted at EAMT 2023.
hLEPOR: Language-independent Model for Machine Translation Evaluation with Reinforced Factors
Long Short-Term Memory (LSTM) Model Implementation in order to train it to translate over Cap-verdian criole to English.
Phrase Tagset Mapping for French and English Treebanks and Its Application in Machine Translation Evaluation
Repository for "Uncertainty-Aware Machine Translation Evaluation", accepted to Findings of EMNLP 2021.
Repo for our attempt at the Shared Task (Quality Estimation) WMT2020. http://www.statmt.org/wmt20/quality-estimation-task.html
Tools for the evaluation of audio captioning.
Team project for CS 11-731 Machine Translation course.
Measuring Post-Edit density for Studio files and Across LS exports
Analyse Post-Edit density data to create post-processing rules
Scripts for machine translation corpora filtering/ 机器翻译平行语料过滤的脚本
several evaluation metrics for Machine Translation
Evaluate the BLEU score significance statistically comparing Ref file and Tgt files among different machine translation systems
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