As in the previous blog entry from David Thompson, David and I are working with Umpila and Kuuku Ya’u speakers in Lockhart River (up in the Cape, QLD) to make a Wunderkammer dictionary. A great resource for the community’s mobile touting younger gens! An unexpected and pretty big obstacle that we’ve faced in Lockhart is difficulties installing the dictionary on community mobile phones via Bluetooth transfer. The solution we’ve come up with might also help other people out there stuck with various Bluetoothy hiccups holding up dictionary distribution.

Because of the remote location of Lockhart in Far North QLD the only telecommunications company is the national carrier Telstra. The majority of the mobile phones in the community are Telstra phones on Telstra contracts. Unfortunately we found out that Telstra restricts some of the functions of the phone, in this case preventing installation of java applications via Bluetooth (or via a USB cable). This was a great shame as the easiest way to propagate the dictionary across the community would be through simple Bluetooth transfer between phones. The solution we’ve found to workaround this is to host the dictionary java file on a secure webpage and download the java file using the mobile phone’s internet browser. However, few of the phone contracts in the community have a data component and therefore cannot access the webpage. This second obstacle has been overcome simply by using a project sim card with a data component. The sim card can be swapped with the community member’s sim card allowing the dictionary to be downloaded and installed. Once installed on the phone, the original sim card can be swapped back. Voilà, a working Wunderkammer dictionary! Some phones might generate a message asking if you want to download the file to the phone or the sim, select phone of course, so that it’ll remain behind when you switch the cards back. Each download of the Umpila/Kuuku Ya’u dictionary (V1.0) is a small 2MB and only takes a few minutes to install.

I went to Lockhart River on Cape York Peninsula, Queensland, last week to try out a dictionary on mobile phones for the Umpila and Kuuku Ya’u languages. Clair Hill and I are working on a language maintenance project for the community and the dictionary is a great resource to have with it. These two dialects are very close and Clair prepared a combined list of over 400 words, some of them with sound files attached, and she converted it to a Wunderkammer dictionary with help from James.

Photo: Eleven-year old Camden has learnt some language words from his grandmother Lucy Hobson (left) and mother Phyllis Hobson (right). He spent some time using the dictionary to check words and practise speaking them with the help of his mother.

I found that the mobile format of the dictionary created immediate interest. The first man I showed it to said, “It blows my mind!” Lots of young people and adults are using mobile phones and the children especially took to the format. They were soon scrolling and checking words. The sound files attracted most interest and helped them to sound out the words correctly and to avoid English intonations.

I quizzed them about the dictionary and its uses. It is clearly both a self-learning and a shared-learning tool that is readily used in the home or anywhere. As a visual tool it shows correct spellings and meanings while the audio side encouraged people to verbalise the words correctly. The ready phone access contrasts with limited computer access in this community, mainly in the library and local school.

We had a problem with the display of the words as the colour of them did not contrast well with a dark background. The audio could be louder too. This will be tweaked for a second trial. We also had a problem trying to transfer the dictionary to people’s phones by Bluetooth. They are mostly Telstra branded phones, which do not like you doing that. We will have a workaround next time.

One person saw the potential for the dictionary to be developed further in a computer application by adding both sound and pictures to words to enhance the language learning. James will also develop a Kirrkirr version for computers.

wkimport package 2.2 is out now. The new package includes a French localisation and French documentation. See it at the wksite: http://www.pfed.info/wksite

Step 3: Custom input method.

First of all, you will need to add your custom input method into the code of the MenulessTextField class in the source code of Wunderkammer. This can be done in any text editor, but as you will need to compile the whole thing later anyway, its probably better to do everything in NetBeans or another Java IDE right from the beginning. You can find the whole MenulessTextField class with the custom Tura-French input method here.

There are only a few things that you are likely to need to modify. Thus, you will probably want to customize the mappings for low case (see picture) and upper case letters onto a typical 3×4 mobile phone keypad. The <\uXXXX> sequences are the unicodes for every special character (I added the characters themselves as comments in green to make things clear).

Furthermore, you might wish to modify the part “\ue003\ue004\ue005” in brackets after TextField.addInputMode and TextField.setDefaultInputModeOrder, which stands for <ɛ̀ɛ̂ɛ́>. This is just the way I chose to indicate the low case Tura custom input method at the right end of the search box in WK, similar to “Abc” or “123”.

When you are done with adding your custom input method, build the WK project in NetBeans (there is a button for this in NetBeans). To update the WK binaries in wkimporting, all you need to do is replace all the files in the directory wkimporting/bundle/build/preverified with all the preverified binaries from the project. So build the project and then go to build/preverified and copy everything except the ‘META-INF’ and ‘res’ directories to wkimporting/bundle/build/preverified.

Basically, that’s it. Now, after you import the dictionary into WK, you should get a dictionary with the custom input method you defined.

Step 1: Font

You need to have a font with all the necessary characters as single glyphs. The reason is that the dictionary theme file in LWUIT (step 2) uses a bitmap font which cannot use combining characters (LWUIT creates such a font for you from any font available on your system). Thus, the character <à>, latin small letter a with grave, must be represented by a glyph with unicode point U+00E0 and not as a combination of two glyphs, viz. one with U+0061 for <a> and one with U+0300 for the combining grave accent. This single glyph requirement was problematic for the Tura script because it contains a range of characters, viz. some IPA characters with tone diacritics, that Unicode fonts render only by means of a combination of a glyph for the respective letter with a combining glyph for the diacritic, such as <ɔ̀> latin small letter open o with grave.

To get around this problem, I created a new Unicode TrueType font software, TuraGSM Sans Condensed, that contains the necessary accented characters as single glyphs in the Private Use Area range (U+E000 – U+F8FF). I did this by modifying DejaVu Sans Condensed, a free Unicode font, using FontForge, a free font editor application. DejaVu Sans Condensed font makes part of the DejaVu family. DejaVu fonts are TrueType fonts that contain glyphs of most Unicode characters, including all the IPA characters and diacritics used in the Tura script. I chose the Sans Condensed version of DejaVu as a basis for the Tura font because it produces particularly compact lines which normally still remain well legible even at a small font size, such as 10 points, the size that I used for the indexes and entries in the Tura mobile phone dictionary. This is an obvious advantage when rendering characters on mobile phone screens. Besides creating new single glyphs for some of the accented characters, I also had to modify a few glyphs used for the Tura script to enhance their visual distinctiveness on a mobile phone screen.

Step 1 will probabl