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After Booting with this Live CD, just click on the MOUNT Application icon on the top of the Desktop, then click the Mount Button that is besides the CDROM entry only, to open its folder contents, then Right Click the zerofree.sh file and Choose the "Window" -> "Terminal Here" option and then type ./zerofree.sh and press Enter Key on the Terminal and follow the instructions shown on the terminal. As you may be aware, Booting with a Live CD, requires that you need to change the Boot Order on your System / Guest BIOS, quickly on startup, by pressing either F2 OR F12 OR F10 OR an equivalent key and then change the Boot Order to boot from the CDROM first. ...

Please watch the video below, to convert any file or a command output into a nice html table, in less than 5 Minutes time. The output html file can then be browsed from any location, using a local webserver or an internet www domain. Usage Examples: (Type them on Terminal) cd ~/Downloads/tabulate # location chmod +x *.sh cat "student_marks.csv" | { cat ; echo ; } | ./tabulate.sh -d "," -t "My School" -h "First Term" > "marks.html" # or > "/var/www/html/marks.html" -d specifies delimiting character, which is in between your input columns -t specifies page title -h specifies a header Browse marks.html with browser now, either by double clicking file, from file manager or inputting location on your browser. ...

...Supported file formats are OGG, FLAC, MP3, AAC, ALAC, WAV, in all ways, and WMA as source. Main audio tags are preserved in the process, as well as most file name characters (white spaces, question marks etc). BAC runs on Linux and probably most UNIX-type OSes. On Windows, it must be operated from the Cygwin environment. It requires the following software to be installed: - flac and metaflac (flac files only) - vorbis-tools (ogg files only) - faac and faad (aac files only) - lame and madplay (mp3 files only) - alac-decoder and mpeg4ip-utils (ALAC decode) - ffmpeg (ALAC encode, wma decode) - mplayer (wma decode) - mp4v2-utils (AAC, ALAC, WAV decode) BAC is now optimized for multiprocessing on multicore systems: a tunable number of cores can be used for simultaneous conversions.

...Even though it focuses on multiword expresisons, the framework is quite complete and can also be useful in any corpus-based study in computational linguistics. The mwetoolkit can be applied to virtually any text collection, language, and MWE type. It is a command-line tool written mostly in Python. Its development started in 2010 as a PhD thesis but the project keeps active (see the SVN logs). Up-to-date documentation and details about the tool can be found on the mwetoolkit website: http://mwetoolkit.sourceforge.net/