<div dir="ltr"><font color="#222222" face="arial, sans-serif">Hi Cedirc ;</font><div><font color="#222222" face="arial, sans-serif"><br></font><div><div><font color="#222222" face="arial, sans-serif">n-gram is a technique commonly used in natural language processing (NLP)</font></div>

</div><div><font color="#222222" face="arial, sans-serif">Instead of representing a document as a bag-of-word, </font><span style="color:rgb(34,34,34);font-family:arial,sans-serif">it is sometimes useful to represent it </span><span style="color:rgb(34,34,34);font-family:arial,sans-serif">using n-grams, </span></div>

<div><span style="color:rgb(34,34,34);font-family:arial,sans-serif">especially if the application needs to capture contextual</span><span style="color:rgb(34,34,34);font-family:arial,sans-serif"> information, or needs to be robust against spelling mistakes.</span></div>

<div><font color="#222222" face="arial, sans-serif">Examples of this technique </font><span style="color:rgb(34,34,34);font-family:arial,sans-serif">use </span><span style="color:rgb(34,34,34);font-family:arial,sans-serif">in NLP applicaitons includes: automatic</span><span style="color:rgb(34,34,34);font-family:arial,sans-serif"> plagiarism detection , authorship attribution , topic identification.</span></div>

<div><font color="#222222" face="arial, sans-serif"><br></font></div></div><div><font color="#222222" face="arial, sans-serif">Kind regards</font></div><div><font color="#222222" face="arial, sans-serif"><br></font></div>

<div><font color="#222222" face="arial, sans-serif">Imene</font></div></div>