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Update 30-01-2021

This repository is archived. Please use https://github.com/huggingface/transformers which supports XLNet language generation in both pytorch and tensorflow

XLnet-gen

Generate language using XLNet. This is not an official implementation. Samples are included at the end of this README as well as in the samples folder.

Medium article as a summary of this effort: https://medium.com/@amanrusia/xlnet-speaks-comparison-to-gpt-2-ea1a4e9ba39e

Colab notebook where you can give prompts: https://colab.research.google.com/drive/12u-CmB9evMIASNOqJtDW26gmNvSgepBv

Usage

Important Notes

Methodology

XLNet is a novel permutation based language model. In current implementation of XLNet-gen, we generate texts from left to right.

XLNet is trained using num_predict=85, which means 85 tokens out of 512 in a single example are predicted at a time. More importantly rest of the 512-85 = 427 tokens can attend to each other in the attention mechanism (bidrectional attention). This creates problems with conventional causal attention mechanism during language generation. Following problems were faced:

Explanation of flags (specific to XLNet-gen)

Sampling schemes

Notes on quality of the samples

Samples

We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization tasks in our lab using automated translation/text analysis with an automated computer system, Pro (Pro Text Analysis). From this training we have developed an automated translation tool, Pro Translation. Our system is known as the Pro Translation Suite, and is designed for translation between text, computer documents, and web pages. All of the tools in the Pro Translation Suite provide both text and "real time" translation. The program also features extensive user-friendly interfaces for user-directed development and customization of the software. The Pro Translation Suite features a number of features which offer new and innovative translation tasks. In addition, the Pro Translation Suite offers enhanced support for "realtime" translation systems, such as translation for Web pages, "real time" translation of language models, and machine translation.

We currently have a highly optimized robot in the development stage and support for this robot is currently being increased to include a (possibly) real-time translation engine, "The Trans-To-Trans". The Trans-To-Trans robot has been optimized, optimized and (and perhaps) may become a real-time translation engine, " The Trans-To-Trans". As one of our main goals, we will also be testing this robot against real time translation standards and benchmarks. Additionally, this robot has been made available publicly to evaluate and use, at no cost to the public.

The Trans-To-Trans robot has been built to meet a "real time" translation requirement (which is a requirement of English translation methods), which is the language to which all other robot translation will be converted. It has been designed for trans-lingual translation, such as translation between English and other popular languages. We expect to use this robot to do such translation in the future, and have been working on a translation tool, which we will be releasing near the end of the year. The Trans-To-Trans robot has been optimized to meet a "real time" translation requirement. This is a requirement of English translation methods. We have been working on a translation tool, which will be released near the end of the year. We have been working on a translation tool, which will be released near the end of the year.


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