This is the Linux app named TextGen whose latest release can be downloaded as 1.1.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
TextGen
DESCRIPTION:
Implementation of Text Generation models. textgen implements a variety of text generation models, including UDA, GPT2, Seq2Seq, BART, T5, SongNet and other models, out of the box. UDA, non-core word replacement. EDA, simple data augmentation technique: similar words, synonym replacement, random word insertion, deletion, replacement. This project refers to Google's UDA (non-core word replacement) algorithm and EDA algorithm, based on TF-IDF to replace some unimportant words in sentences with synonyms, random word insertion, deletion, replacement, etc. method, generating new text and implementing text augmentation This project realizes the back translation function based on Baidu translation API, first translate Chinese sentences into English, and then translate English into new Chinese. This project implements the training and prediction of Seq2Seq, ConvSeq2Seq, and BART models based on PyTorch, which can be used for text generation tasks such as text translation.
Features
- Sentence Granularity Amplification
- Word Granularity Amplification
- Text generation models
- UDA (non-core word replacement)/EDA
- HuggingFace Demo
- ConvSeq2Seq model
- Train and predict the ConvSeq2Seq model
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/textgen.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.