jebsblog

Terry Weaver, Director of the IT Accessibility & Workforce Division and his General Services Administration colleagues have inaugurated a new accessibility blog. Called Accessibility Forum 2.0, the blog has now been opened up to an extended audience, including non-government stakeholders. Participation, comment and feedback are welcome.

As they note on the blog: “The experiences and efforts of those from the front lines in the Section 508 world are extremely important and of value to others within the greater Section 508 community. It is not the intent of this blog to dictate GSA Section 508 policy but we hope to be a conduit for sharing real experiences and practices. We are looking forward to initiating a healthy dialogue.”

Check them out at buyaccessible.net/blog/

Perhaps you may have overlooked this in your own attempt to gather as much information about your web visitors as I had. I am talking about Google Analytics’ requirement that users make sure they have a Privacy Policy which lets visitors to your website know that Google Analytics (GA) are being used on the website.

I just finished writing a Privacy Policy for the jebswebs site and will be adding a link on the blog to point to it.

Personally, I am not overly concerned about privacy on the web, but many people are, and I can certainly understand this. I am concerned about some of the “biggest offenders” who have made the press lately. It’s one thing to have an online service that gather’s information, it is something else when you don’t let people/visitors know about it – or if you constantly change the requirements to keep your information private. The “biggest offenders” are also guilty of creating a false sense of security by creating the illusion of a “gated community” when all the while, their patrons’ personal information is available to those beyond the “gate.”

So, I am a bit ashamed that I didn’t catch this a few weeks ago when I stated adding GA to several of my sites. Rest assured I’ll be remedying that in the next few days.

For those who don’t know about GA and wonder, why all the fuss, let me explain.

Google Analytics is a neat and free service provided by Google to website owners and developers. The developer inserts a small amount of JavaScript code on the pages of their website, and every time someone visits that page, the script grabs some information about the visitor and adds it to the owner’s GA account database. The website owner and/or developer can access this database information by logging into their GA account and seeing charts and graphs which aggregate the data collected. The information collected ranges from what pages are being visit, what browser is being used, and how long they stayed on the site. It should be noted that no personally identifiable information (i.e., names and addresses) are gathered through this interaction. There may be some debate about the use of IP addresses. GA’s policies say they are not harvested, but GA does give you location data – at least in terms of country of origin – and that would have to come from IP data.

It is important to note – and this is where the Privacy Policy comes in – that nearly all of this information is rather innocuous and completely anonymous. But, because the information is also sent to Google, and in the theme of complete disclosure, it is important that visitors know this. I guess you could make the case that by virtue of visiting your site, the visitor’s data is already collected, but let’s not go there…

BTW, just to play it safe, Google offers a free browser plug-in called the Google Analytics Opt-out Browser Add-on which, when installed in a browser [at this point available for Internet Explorer (versions 7 and 8), Google Chrome (4.x and higher), and Mozilla Firefox (3.5 and higher)], the information gathered by GA will be shared with the site owner, but not Google. So, if you are concerned about your privacy, you may want to install this.

Note: In researching for this blog entry, I came across an Australian news article on just this topic. Reading it next.

From the Access Board – The Department of Justice (DOJ) is moving to issue final rules that would update its ADA regulations, including standards governing the construction and alteration of facilities covered by the law. On April 26, DOJ submitted final rules to the Office of Management and Budget (OMB) for approval. If cleared within OMB’s standard 90-day review period, DOJ may publish the updated regulations in late July or early August.

DOJ’s new rules will update its ADA regulations for state and local governments under title II and those for public accommodations and commercial entities covered by title III. The pending regulations will implement with effective dates new ADA standards for title II and title III facilities that are closely based on updated guidelines previously issued by the Board. In addition, the final rules, which DOJ made available for public comment in 2008, will revise or supplement other sections of DOJ’s regulations, including those covering existing facilities, service animals, policies and programs, maintenance of accessible features, auxiliary aids and services, and effective communication. DOJ had planned to issue the regulations in early 2009 but delayed publication in order to give officials of the incoming Obama Administration an opportunity to review them. For more information, visit DOJ’s website at www.ada.gov. Visitors to the site can subscribe to email updates from DOJ on this and other Department activities.

DOJ’s standards apply to all facilities covered by the ADA except transportation facilities, which are subject to standards issued by the Department of Transportation (DOT). DOT has already implemented updated ADA standards for transportation facilities. Similar standards are also in place under the Architectural Barriers Act (ABA) for most federally funded facilities. Housing facilities covered by the ABA currently remain subject to earlier standards pending the adoption of new standards by the Department of Housing and Urban Development. Further information on the status of ADA and ABA standards is available on the Board’s website.

I took the plunge and installed WordPress v 3.0 last night. I used the automatic install/upgrade which is a godsend and completed the task in about 20 seconds. But before I go and upgrade the rest of my clients’ installs of WP, I figure I had better test things out first. So, this posting is a bit of a test…

I think I may have also discovered a bug in v3.0, and am search for others who are experiencing this…it is minor, but annoying. The “bug” is in how the Dashboard displays content. To the uninitiated, the Dashboard is the administrative “back end” of the WordPress  application where you make settings adjustments, install stuff and where you post your blog entries.

Using the “screen options” tab (upper right) you are allowed to choose having a number of different elements to be visible on the Dashboard. The elements include messages from WP, plus quick links to some of the things you use regularly. Most important is that you have the ability to put this information in 1, 2, 3, or 4 columns to make it easier to read.

Well, the first thing I noticed after the upgrade was that all of the information on my Dashboard was being squeezed into two columns even though I had the settings set for three columns. When I tried changing the settings, I apparently made it worse since now everything is squished into one LONG column and the 2-3 columns to the right are empty save what appears to be an empty php/div block. Hmm.

A search of WP forums turned up nothing so far…I may try posting a bug report. I will also post this observation to Twitter and see if it is just me…always a possibility.

End of test…

Back in March 2010, I rather gleefully blogged about YouTube’s latest feature called “automatic captioning.” Since that time, I have become bemused and amused by the state of this “service.” It seems Google – the owners and operators of YouTube – have been using our videos as fodder for their new Google Voice speech-to-text (S-t-T) translation machine. Google claims, “It (Google Voice transcripts) will improve over time as our transcription engine gets smarter.” It is not clear how the Google transcription engine will get “smarter,” but I’m, figuring the more the system is used, the more it will learn, and the smarter it will become…make sense?

Whoever perfects S-t-T stands to make billions in the first year, so it stands to reason Google would be interested in tapping into that treasure chest. But perfecting S-t-T has always been an elusive goal and anyone worth their salt in the captioning or transcription business knows the human beings still make the best captionists.

That said, at the recent Accessibility Unconference a few weeks ago, the issue of S-t-T came up and there was lots of interest in YouTube’s “automatic captioning” service. I should note here that YouTube currently calls this a “machine transcription” service and offered it with some caveats. They also seem, in some ways, to be more interested in the language translation tool that was also delivered on YouTube at the same time. Perhaps there is more money to be made in the translation of Chinese to English than in S-t-T.

At the Unconference, there was one gentleman who represented a transcription service company in Massachusetts that used a system based upon a combination of automated S-t-T and human power. He claimed that his system was much faster than regular human-only transcription because machines  take the first cut at the translation and humans completed the final edits. He also claimed it was flawless. Lastly, he noted that the fee for this service ranged on a scale based upon the quality of the audio. Apparently, the poorer the quality of the speech, the more interactions with humans is necessary, and the more expensive is the price tag.

So all this got me thinking about the experimental YouTube video I created and posted back in early March. The “automatic captioning,” eh, machine translation, of my video was indeed a bit hilarious. Sharing it with friends, we all howled at the bizarre transcripts that were produced by the system. It was a bit like playing that children’s game, “Telephone,” where you whisper something into someone’s ear and they whisper it into the next person and so on down the line until the last person says it out loud. The final product never comes out correctly and is usually quite funny. And indeed, the YouTube “machine transcription” was much the same.

For my test video, I purposely read a printed text -  as opposed to spontaneous speech – so I would have an exact copy of the content from which to compare the transcript. The results were marginal at best and honestly, the transcript really made no logical sense. It was also amazing what YouTube’s machine translation failed to recognize. The machine translation had a particular difficult time with the words “accessibility” and “web design.” Go figure.

I recently learned that you could download the YouTube machine translation, edit it, and then re-post it to the original YouTube video. So, today I finally got around to trying this and though successful, the process was not without pain.

First, the machine transcript is saved in some unique YouTubian format (.SBV). The content is readable using a simple text editor and looks like this:

 0:00:02.179,0:00:07.740
   okay so am I- of doing it tested video here
   it and I'm going to read this to see if the
   0:00:07.740,0:00:09.959
 captioning system works well

Fortunately, my MovCaptioner software could import the file and provide an easy way for editing the content. But after editing the text, I could not export the transcript without first merging it with a video. I had to grab the original video from YouTube (which I downloaded in .MP4 format) and then load that into MovCaptioner. Once the editing was finished (see note below about time), I was able to save and export the file in another format (.SUB for Subtitle format) and then upload that transcript file to YouTube.

The final edited .SUB file looks like this:

 00:00:02.17,00:00:07.72
   Okay so I am doing a test
   video here and I'm going to
   read this to see if the
   00:00:07.74,00:00:09.94
 captioning system works well

As predicted, the most strenuous part of the process is the actual editing of the transcript. Even though the machine transcript had gotten about 50% of the content correct, it still took close to 45 minutes for me to edit the three minutes of video. It is clear that I talk pretty fast, as there was 75 lines of text that had to be edited. I can’t imagine doing this for anything longer.

So, I’ve learned a few things here:

First, YouTube’s “automatic captioning/machine translation” is far from perfect and must not be used, at this point, for anything other than amusement. I am not sure if Google has a timeline on when this will get better, but until it produces accuracy at a 85% or higher basis, I would not rely on it as a usable transcription.

Second, while machine translation, followed by human editing is clearly more accurate than machine translation alone, the time savings may not be all that one might imagine. I’m guessing that a professional transcriptionist using state of the art equipment would have been able to transcribe the three minutes of video a lot faster than I was able to edit the machined version.

Last, we are still a long way from fully accurate S-t-T and if you are going to use videos on your websites, and want them to be accessible, you are probably still going to have to pay someone to create a transcript/caption file for you.

Note: jeremykemp has posted a YouTube video comparing human vs. machine translation on several video clips. You can see the errors produced by the machine transcription.