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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. ...

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. ...

BAC is a command-line tool that converts, to a target audio file format, all the audio files stored in a directory tree of any depth. 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.

THIS PROJECT MIGRATED TO https://gitlab.com/mwetoolkit/mwetoolkit3/ The Multiword Expressions toolkit aids in the automatic identification and extraction of multiword units in running text. These include idioms (kick the bucket), noun compounds (cable car), phrasal verbs (take off, give up), etc. 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...