When using COMET to evaluate machine translation, it's important to understand how to interpret the scores it produces. In general, COMET models are trained to predict quality scores for translations. These scores are typically normalized using a z-score transformation to account for individual differences among annotators. While the raw score ...

Comet is a ghost town located approximately twenty miles (32 kilometers) south-southwest of Helena, Montana, United States. It is reached by following High Ore Road north from Interstate 15. The remains of the town cover about thirty-five acres and consist of an ore hopper, a large ore processing building, several other company buildings, and ...

2023年5月11日 · comet是一种新的神经框架（即一组算法），用于训练和运行多语言mt评估模型。 说它是一个新系统，可以帮助评估和预测许多不同语言的机器生成翻译的质量，这是一个很花哨的说法。

4 天之前 · We present COMET, a neural framework for training multilingual machine translation evaluation models which obtains new state-of-the-art levels of correlation with human judgements.

COMET（Crosslingual Open-source Metric for Evaluation of Translation）是由Unbabel开发的一种用于评估机器翻译（MT）输出质量的工具。 它通过使用机器学习模型来提供翻译质量的自动评估，为译者和研究人员提供了有价值的反馈。

2017年10月4日 · Comet has been neither preserved nor restored and many buildings are collapsing into disrepair. But even as the town fades away, the memories and stories live on. For now, the wind still whistles through the cracks of yesterday’s old buildings.

2020年9月18日 · Abstract: We present COMET, a neural framework for training multilingual machine translation evaluation models which obtains new state-of-the-art levels of correlation with human judgements. Our framework leverages recent breakthroughs in cross-lingual pretrained language modeling resulting in highly multilingual and adaptable MT evaluation ...

As one nears the town, remnants of a once thriving mining community pop out among the looming sagebrush and dry terrain. The silence speaks volumes, accompanied by the voices of the tumbling cabins and abandoned mill. It all started around 1869 when John W. Russell located a claim in the area.

COMET is an open-source framework for MT evaluation that can be used for two purposes: To evaluate MT systems with our currently available high-performing metrics (check: COMET Metrics). To train and develop new metrics. Which COMET model should I use? Where can I find the data used to train COMET models?

COMET (Crosslingual Optimized Metric for Evaluation of Translation) is a new neural framework for training multilingual machine translation (MT) evaluation models. COMET is designed to predict human judgments of MT quality (such as MQM scores). The resulting metric can be used to automate the process of evaluation, improving efficiency and speed.