This is the Linux app named Chinese-XLNet whose latest release can be downloaded as Chinese-XLNetsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Chinese-XLNet
DESCRIPTION
Chinese-XLNet is a Chinese language pre-trained model based on the XLNet architecture, providing an advanced foundation for natural language processing tasks in Mandarin and other Chinese dialects. Unlike traditional masked language modeling, XLNet uses a permutation language modeling objective that captures bidirectional context more effectively by training over all possible token orderings, yielding richer contextual representations. This model is trained on large-scale Chinese text datasets to learn linguistic patterns, long-range dependencies, and semantic nuance typical of Chinese writing, making it useful for tasks like text classification, question answering, named entity recognition, and language generation. Chinese-XLNet offers an alternative to models like BERT by emphasizing autoregressive and permutation-based learning, which can lead to performance improvements on certain benchmarks and tasks.
Features
- Chinese pre-trained XLNet language model
- Permutation language modeling for rich context
- Suitable for NLP tasks like classification and QA
- Trained on large Chinese corpora
- Fine-tunable in common ML frameworks
- Apache-2.0 open-source license
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/chinese-xlnet.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
