<html><head><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Dear Lushan,<div><br></div><div>I know it might look redundant, but I think it useful to specify that it is based and trained on English, there is no sign of this information on the brief description on the website (though it is inferable by default).</div><div>best regards,</div><div>Isabella</div><div><br></div><div><br></div><div><br><div><div>Il giorno 11/gen/2013, alle ore 23:27, Lushan Han <<a href="mailto:lushan1@umbc.edu">lushan1@umbc.edu</a>> ha scritto:</div><br class="Apple-interchange-newline"><blockquote type="cite">Dear all,<div><br></div><div>We developed a new web interface for computing word/phrase similarity.</div><div>The statistical measure is computed based on very large corpora with several billions of words.</div><div>It can compute similarity between words with different part of speech. For example, marry_VB and spouse_NN.</div>
<div>The web interface includes a service that provides up to 100 most similar words to an input word.</div><div><br></div><div>Try it out at <a href="http://semanticwebarchive.cs.umbc.edu/SimService/index.html">http://semanticwebarchive.cs.umbc.edu/SimService/index.html</a></div>
<div><br></div><div>Any kind of comments is welcomed!</div><div><br></div><div>Best regards,</div><div><br></div><div>Lushan Han</div>
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