This week I found an interesting link on Web 2.0 Guru called Paper Rater. The description of the Web 2.0 Paper Rater application is as follows:
"PaperRater.com is a free resource, developed and maintained by linguistics professionals and graduate students. PaperRater.com is used by schools and universities in over 46 countries to help students improve their writing.
PaperRater.com combines the power of natural language processing (NLP), artificial intelligence (AI), machine learning, information retrieval (IR), computational linguistics, data mining, and advanced pattern matching (APM). We offer the most powerful writing tool available on the internet today.
Before we could offer PaperRater.com we had to overcome large challenges related to computational linguistic design and development, handling transliteration variation; ethnolinguistic identification; document classification and entity extraction; name parsing and regularization; duplicate document recognition, plagiarism detection, clustering, and prioritization; automatic entity extraction and entity resolution.
As part of the development process, we put together a team of computational linguists and subject matter experts to develop a core Natural Language Processing (NLP) engine using statistical and rules-based NLP to extract language evidence from essays and term papers and robustly translate that evidence into accurate codes. We hope to showcase some of our technology at a later date" PaperRater.com, (2010).
To Start off with PaperRater you have to cut/paste a document, select the education level for the document, and the type of document. I decided to use my research paper for Dr. Wyly's class at Full Sail University titled, Digital Natives: Digital Natives and Emerging Technologies in the Classroom as shown below which was written on the masters educational level.
The analysis is very quick. It took less than a second to get the results for my three page paper. The first bit of information that is returned is the originality score which detects whether or not the paper was plagiarized. As you can see in the screen shot, there are no signs of plagiarism in my paper.
The second part of the analysis involves language scores which center around vocabulary, spelling, and grammar. It found a two grammar suggestions for my paper and suggested I use "different from" instead of "different than" as shown below.
Next it moved onto style and provided statistics about word usage as shown below.
In the final analysis it scored the paper and gave me a score of 59 which equates to "Good Job". I could not find any additional information on the scoring system, but I am glad that I received a "Good Job" for style.
Next it scored vocabulary and gave me a score of "Excellent work" for my use of sophisticated language. but suggested that I try using their Vocabulary Builder section to further enhance my sophisticated vocabulary.
I plan to run the literature review that we will write next month through the PaperRater website to see how I score. I will also use this in my scientific research class to assist students with the rewriting of their research papers. Even though I pasted in the reference section of my paper the website did not comment or score the references section. It was simply returned in a frame at the bottom of the page without any analysis.
In my opinion PaperRater has two useful features: 1) free plagiarism detection, and 2) free double checking of the syntax and grammar in your paper. Also, the terms and services associated with PaperRater were quite long and it might be worth it to consult your legal team before submitting a Nobel prize winning paper.
No comments:
Post a Comment