<span class="q">
<div>> what does "somewhat promising" mean? </div>
<div> </div></span>
<div>Hmm, well roughly (and you'd need to verify this with either Philippe or some of his papers) he's done video recognition on ASL video data that is composed of a subset of signed sentences recorded in BostonUniversity for linguistic reasearch by Neidle et al. 1999. There are 201 video sentences and 104 unique words. The recognition process produces semantic glosses as output and recognised sentences are then fed into the machine translation system. An overview of the database and the processes can be found in the previously mentioned paper along with results for the recognition process alone as well as when combined with the machine translation work also described in the paper.
<br> </div>
<div>Hope that helps in someway, no miracles but it does seem to be going somewhere. But that is of course open to opinion and I'd be interested in hearing anyone else's views on this work..</div>
<div> </div>
<div>Namaste,</div><span class="sg">
<div>Sara</div></span><br><br>
<div><span class="gmail_quote">On 18/09/2007, <b class="gmail_sendername">Dan Parvaz</b> <<a href="mailto:dparvaz@gmail.com">dparvaz@gmail.com</a>> wrote:</span>
<blockquote class="gmail_quote" style="PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: #ccc 1px solid">I'll go dig that up, but in the meantime, what does "somewhat promising" mean? Nearly all the recognition material I've seen so far has been on the order of < 100 isolated signs (often less than half that), and so far has been resistant to scaling.
<br><br>Cheers,<br><span class="sg"><br>-Dan.</span>
<div><span class="e" id="q_1151915de1d6e130_2"><br><br>
<div><span class="gmail_quote">On 9/18/07, <b class="gmail_sendername">Sara Morrissey</b> <<a onclick="return top.js.OpenExtLink(window,event,this)" href="mailto:sara.morrissey2@mail.dcu.ie" target="_blank">sara.morrissey2@mail.dcu.ie
</a>> wrote:</span>
<blockquote class="gmail_quote" style="PADDING-LEFT: 1ex; MARGIN: 0pt 0pt 0pt 0.8ex; BORDER-LEFT: rgb(204,204,204) 1px solid"><span>
<div><font size="2">>we still don't have the basic necessary and sufficient conditions for sign recognition (à la the Haskins and Bell Labs research in the 1940s and 1950s). </font><br> </div></span>
<div>For anyone who's interested, Philippe Dreuw at RWTH Aachen University, Aachen, Germany, is working on gesture recognition and I have done some collaborative work with him for translating in the direction of SLs (American and Irish) to Engllish. The results from the ASL data so far have been somewhat promising, although of course there is still a lot of progress for it to be made usable in the mainstream. Machine translation is my area, not recognition, so I'm not in a position to describe this much further but you can find some more information in the paper "Hand in Hand: Automatic Sign Language to English Translation" in the Proceedings of Theoretical and Methodological Issues in Machine Translation (TMI-07).
</div>
<div> </div>
<div>Sara<br> </div>
<div>
<div><span><span class="gmail_quote">On 17/09/2007, <b class="gmail_sendername">Fischer Susan</b> <<a onclick="return top.js.OpenExtLink(window,event,this)" href="mailto:susan.fischer@rit.edu" target="_blank"> susan.fischer@rit.edu
</a>> wrote:</span> </span></div>
<blockquote class="gmail_quote" style="PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: rgb(204,204,204) 1px solid">
<div><span>
<div>
<div style="MARGIN: 0px"><font style="FONT: 11px Lucida Grande; font-size-adjust: none; font-stretch: normal" face="Lucida Grande" size="3">There's a group at NTT (the national phone and post office!)in Japan working on "translating" in both directions between spoken or written Japanese and what they are calling Japanese sign Language. It's really more transliterating to or from signed Japanese. When I observed a demonstration a few years ago, the generation of the signing avatar was pretty impressive; recognition was not, and it's a much more difficult task, not only because of the corpus problem but because we still don't have the basic necessary and sufficient conditions for sign recognition (à la the Haskins and Bell Labs research in the 1940s and 1950s). I think some patience is in order; it took about 50 years from the time speech recognition was envisaged until the time it was accurate enough to be practically useful (
e.g., Dragon Naturally Speaking). Computer scientists often drastically underestimate the difficulty of determining constancy in the signal.</font></div>
<div style="MIN-HEIGHT: 13px; MARGIN: 0px"><br> </div>
<div style="MARGIN: 0px"><font style="FONT: 11px Lucida Grande; font-size-adjust: none; font-stretch: normal" face="Lucida Grande" size="3">Susan Fischer</font></div>
<div style="MARGIN: 0px"><font style="FONT: 11px Lucida Grande; font-size-adjust: none; font-stretch: normal" face="Lucida Grande" size="3"><a onclick="return top.js.OpenExtLink(window,event,this)" href="mailto:Susan.Fischer@rit.edu" target="_blank">
Susan.Fischer@rit.edu </a></font></div>
<div style="MIN-HEIGHT: 13px; MARGIN: 0px"><br> </div>
<div style="MARGIN: 0px"><font style="FONT: 11px Lucida Grande; font-size-adjust: none; font-stretch: normal" face="Lucida Grande" size="3">Center for Research on Language</font></div>
<div style="MARGIN: 0px"><font style="FONT: 11px Lucida Grande; font-size-adjust: none; font-stretch: normal" face="Lucida Grande" size="3">UCSD</font></div>
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