A tool to give feedback on your writing in real time. It is focused on providing parents a less subjective way to evaluate writing while making it fun for students to imitate authors they like.
Current Status: In developement.
Sentences are passed to a tensorflow model that outputs a
sentence embedding. See project board for how you can contribute.
To host this for free and give live feedback on the writing this tool is built as as a static page using tensorflow.js where are all calculations are performed on the client.
app/
- Single page app hosted on github (https://wroscoe.github.io/gradest/) that runs text through a tensorflow.js model and returns a grade.collector/
- Scripts to aggregate the text and text attributes (writer age, publication, writer name, ect) used to help train the tensorflow model.trainer/
- Scripts to train the tensorflow model and convert it to tensorflow.js.Makefile
- Place for frequently used commands.
- Old books that are out of print.
- Blog posts
- Writing samples by students.
- Writing Grade Level/Age - Use the age of the author as the target variable.
- Most similar author. - What author is most similar to the users writing.
- Writing period - What decade is the users writing like.
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Most word embedding models are too big (>100MB) to load in a static webpage. The lite word embedding I found only works on TF1. How can we create our own lite word/sentence embedding that works in TF2 or keras?
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What is the right way to train the network so that it can output many different sparse metrics. Some datasets may not have the age of the author.