Unicheck is happy to present a new product developed by our R&D team — a tool that helps analyze the quality of English writing. The software uses NLP (natural language processing) to assess various parameters of a text, such as readability, lexical diversity, sentence structure, word selection, etc.
Who Benefits from NLP Analytics?
As an educator, you will get unique insights into your students’ writing styles, which can greatly improve the learning process. Measurable indicators represent various aspects of writing, highlighting the areas that need improvement and those that are particular strengths.
During the beta test, we would like to offer NLP Analytics to educators who are willing to check a number of student papers and provide some feedback and suggestions to make the tool even more useful and accurate.
Although NLP Analytics is not related to similarity/plagiarism assessment, we expect to make it a part of the Unicheck Similarity Report. We think this new tool will give educators a new perspective on how students write and will make assessment of student papers more efficient and fair.
We hope that in the near future NLP Analytics will also be used by students and anyone who wants to excel in their writing skills.
How It Works
The tool is available online, so there is no need to install any new software (we’ll provide you with a URL and login details). Once logged in to our beta test environment, just click Upload File to add the file you want to analyze (supported file types: .txt and .docx, UTF-8, less than 512.0 KB).
Content Summary Tab
Under this tab you can find an automatically generated list of keywords, a paper summary, and three topics detected by our language processing algorithm. The idea is to help educators process papers faster (especially long texts), and we would really appreciate your feedback on how this functionality might help you, or how it might be adjusted to best suit your needs.
Text Quality Tab
Under this tab you can find the total score, which is a weighted average of all the individual scores. You can tick a box to the left of any parameter and see the respective words or phrases highlighted in the text. Point at any particular parameter to read an explanation of what it detects and measures.
Reference indicators, such as the number of abusive words or passive voice structures, as well as the voice and tone of the text, do not affect the total score.
If you are interested in testing NLP Analytics, just fill in this short application form.
Please provide your feedback or ask any questions at firstname.lastname@example.org, or give us a call at +12819120548.