We introduce Texar, an open-source toolkit aiming to support the broad set of
text generation tasks that transform any inputs into natural language, such as
machine translation, summarization, dialog, content manipulation, and so forth.
With the design goals of modularity, versatility, and extensibility in mind,
Texar extracts common patterns underlying the diverse tasks and methodologies,
creates a library of highly reusable modules, and allows arbitrary model
architectures and algorithmic paradigms. In Texar, model architecture,
inference, and learning processes are properly decomposed. Modules at a high
concept level can be freely assembled and plugged in/swapped out. The toolkit
also supports a rich set of large-scale pretrained models. Texar is thus
particularly suitable for researchers and practitioners to do fast prototyping
and experimentation. The versatile toolkit also fosters technique sharing
across different text generation tasks. Texar supports both TensorFlow and
PyTorch, and is released under Apache License 2.0 at this https URL

Texar 是一个开源工具包，支持广泛的文本生成任务，旨在将任何输入转化为自然语言，包括机器翻译、摘要、对话、内容操作等。它以模块化、通用性和可扩展性为设计目标，提取了不同任务和方法学的共同模式，创建了高度可重用模块的库，并允许任意模型架构和算法范例。支持 TensorFlow 和 PyTorch，并在 Apache License 2.0 下发布。