Dependency parse tree visualization

It parses &quot;fruit flies like a banana&quot; the same way as &quot;Time flies like an arrow&quot;.<p><a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Time_flies_like_an_arrow;_fruit_flies_like_a_banana" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Time_flies_like_an_arrow;_frui...</a>

Please report any performance problems. I have this running on a pretty modest server, but it should be no trouble to throw up an EC2 instance if the traffic gets too much.<p>I did some simple stress testing that said it should handle a couple of hundred concurrent users, but I didn&#x27;t put the time in to get a very realistic simulation. I worry it was too optimistic.

Nice, and has a built-in parser and annotation system too. Very nice.<p>See also: <a href="http:&#x2F;&#x2F;brat.nlplab.org&#x2F;examples.html" rel="nofollow">http:&#x2F;&#x2F;brat.nlplab.org&#x2F;examples.html</a><p>Any others like this?

Super interesting!<p>I&#x27;m feeding it Shakespeare, just for fun, however I&#x27;m having trouble understanding the meaning of having two CCMP in the context of the verb make in this<p>&quot;Our doubts are traitors, and make us lose the good we oft might win, by fearing to attempt&quot;[1]<p>[1] <a href="http:&#x2F;&#x2F;spacy.io&#x2F;displacy&#x2F;?full=Our%20doubts%20are%20traitors%2C%20and%20make%20us%20lose%20the%20good%20we%20oft%20might%20win%2C%20by%20fearing%20to%20attempt" rel="nofollow">http:&#x2F;&#x2F;spacy.io&#x2F;displacy&#x2F;?full=Our%20doubts%20are%20traitors...</a>

I put up a similar demo a few years ago if anyone is interested: <a href="http:&#x2F;&#x2F;nlpviz.bpodgursky.com" rel="nofollow">http:&#x2F;&#x2F;nlpviz.bpodgursky.com</a>

Interesting and quite neat! I tried this with the famous openings of two famous novels, &quot;Pride and Prejudice&quot; and &quot;Ulysses&quot;; it did well with the former but struggled a bit with the latter. I guess that&#x27;s probably par for the course for most humans with those two texts, though.

I tried &quot;I am tired of being in front of my computer&quot; and it treats &quot;front&quot; like a noun, and the tree is not quite right (the dependencies shown are like: I -&gt; am -&gt; tired -&gt; of -&gt; being -&gt; in -&gt; front -&gt; of -&gt; my computer, instead I think of something like: I -&gt; am -&gt; tired -&gt; of -&gt; (being -&gt; in front of -&gt; my computer)).<p>The UI is quite nice though.

Huh. I work for a book company and feel we could do some interesting things with a parser like this...