adaptNMT is an open-source application that offers a streamlined approach to
the development and deployment of Recurrent Neural Networks and Transformer
models. This application is built upon the widely-adopted OpenNMT ecosystem,
and is particularly useful for new entrants to the field, as it simplifies the
setup of the development environment and creation of train, validation, and
test splits. The application offers a graphing feature that illustrates the
progress of model training, and employs SentencePiece for creating subword
segmentation models. Furthermore, the application provides an intuitive user
interface that facilitates hyperparameter customization. Notably, a
single-click model development approach has been implemented, and models
developed by adaptNMT can be evaluated using a range of metrics. To encourage
eco-friendly research, adaptNMT incorporates a green report that flags the
power consumption and kgCO${_2}$ emissions generated during model development.
The application is freely available.

adaptNMT 是一个开源应用程序，它提供了对循环神经网络和 Transformer 模型的开发和部署的简化方法。该应用程序建立在广泛采用的 OpenNMT 生态系统之上，对于新进入该领域的人来说特别有用，因为它简化了开发环境的设置和创建训练、验证和测试分割。

神经机器翻译开源架构设计

Design of an Open-Source Architecture for Neural Machine Translation

adaptNMT streamlines all processes involved in the development and deployment
of RNN and Transformer neural translation models. As an open-source
application, it is designed for both technical and non-technical users who work
in the field of machine translation. Built upon the widely-adopted OpenNMT
ecosystem, the application is particularly useful for new entrants to the field
since the setup of the development environment and creation of train,
validation and test splits is greatly simplified. Graphing, embedded within the
application, illustrates the progress of model training, and SentencePiece is
used for creating subword segmentation models. Hyperparameter customization is
facilitated through an intuitive user interface, and a single-click model
development approach has been implemented. Models developed by adaptNMT can be
evaluated using a range of metrics, and deployed as a translation service
within the application. To support eco-friendly research in the NLP space, a
green report also flags the power consumption and kgCO$_{2}$ emissions
generated during model development. The application is freely available.

adaptNMT 是一个开源应用程序，为机器翻译领域的技术和非技术用户简化了 RNN 和 Transformer 神经翻译模型的开发和部署过程。该应用程序建立在广泛采用的 OpenNMT 生态系统之上，特别适用于新入行人员，因为它极大地简化了开发环境的设置以及训练、验证和测试数据集的创建。它还提供了图形化的模型训练进展展示，使用 SentencePiece 来创建子词分割模型，通过直观的用户界面实现了超参数定制，以及一键模型开发的方法。开发的模型可以使用多种指标进行评估，并在应用程序内部作为翻译服务进行部署。为支持自然语言处理领域的生态友好研究，该应用程序还提供了绿色报告，标志模型开发过程中所产生的功耗和二氧化碳排放量。该应用程序免费提供。