TICCLTOOLS

TICCLtools is a collection of programs to process text data files towards fully-automatic lexical corpus post-correction. Together they constitute the bulk of TICCL: Text Induced Corpus-Cleanup. This software is usually invoked by the pipeline system PICCL: https://github.com/LanguageMachines/PICCL , consult there for installation and usage instructions unless you really want to invoke the individual tools manually.

The workflows in PICCL, the Philosophical Integrator of Computational and Corpus Libraries are schematically visualised here, TICCL being the one to the right:

Preparation for a specific language and its alphabet:

Note: A fairly wide range of language specific alphabet and character confusion files are available online, precluding the need for performing this preparatory step yourself.

We have prepared TICCL for work in many languages, mainly on the basis of available open source lexicons due to Aspell. The language specific files are available here:

• All languages
• Dutch
• English
• Finnish
• French
• Frisian
• German
• German Fraktur
• Greek (antique)
• Greek (modern)
• Icelandic
• Italian
• Latin
• Polish
• Portuguese
• Romanian
• Russian
• Spanish
• Swedish

Unpack in your main TICCL directory. A subdirectory data/int/ will be created to house the required files for the specific language(s).

Should you want or need to build your own TICCL alphabet and character confusion files yourself, the tool to do that is:

• TICCL-lexstat

  • Creates a character frequency ranked 'alphabet' file of the unicode characters that are present in a lexicon for the specific language.
  • Convert an 'alphabet' file (in a second step) into a list of character confusion hash values and an example of the particular character confusion, optionally a list of all possible character confusions given the set of characters involved.

  Note that each extra character allowed to be an actual character used in the language expands the search space for lexical variants. The tool therefore allows you to 'clip' or apply a frequency cut-off to the character frequency list for your particular language.

The actual TICCL post-correction programs in this collection are:

• TICCL-stats
  • A tool to derive word frequency lists from text files or corpora. Its companion tool for corpora in FoLiA XML format, FoLiA-stats, is far more developed and recommended.
• TICCL-unk
  • a cleanup tool for word frequency lists. Creates a 'clean' file with desirable words, an 'unk' file with uncorrectable words and a 'punct' file with words that would be clean after removing punctuation before and after.
• TICCL-anahash
  • a tool to create anagram hash values from a word frequency file. All anagrams formable given a particular bag of characters and observed in the frequency file are assigned a distinguishing anagram value, based on the individual character values assigned by tool TICCL-lexstat to each character in the alphabet.
• TICCL-indexer and TICCL-indexerNT
  • a tool to create an exhaustive numerical index to all lexical variants present in a corpus within the distances defined by the character confusion values, given a particular Levenshtein or edit distance.
• TICCL-LDcalc
  • a preprocessing tool for TICCL-rank. Gathers the info from TICCL-anahash, TICCL-indexer or TICCL-indexerNT, TICCL-lexstat and TICCL-unk. Retrieves and pre-filters the symbolic pairs of word variants linked to their Correction Candidates.
• TICCL-rank
  • ranks a word variant list on the basis of a wide range of criteria and the actual set of ranking features specified to be used in the Correction Candidate ranking.
• TICCL-chain
  • Tool designed to gather variants that lie outside the edit distance to the perceived best Correction Candidate, given the Levenshtein distance set earlier in the work flow. This distance is usually two characters.
  • Chaining = "my friends' friends are my friends" : the highest frequency Correction Candidate in the TICCL-rank output list with best-first ranked variants within the set Levenshtein Distance (LD) that act as CCs for further variants beyond this LD (and so on for even greater LDs) is directly linked to these larger LD variants.

• TICCL-chainclean

  • After correction of n-gram frequency lists (with n > 1) word strings may have been assigned different Correction Candidates on the unigram, bi- or trigram correction levels, leading to inconsistencies. This experimental tool tries to solve the inconsistencies.

  Post-TICCLtools: actual text editing:

  We currently only provide for post-editing of texts based on the list of correction candidates collected by TICCLtools for texts or corpora in FoLiA XML. Please see the FoLiA-utils (https://github.com/LanguageMachines/foliautils) collection for the tool: FoLiA-correct.

Manual Installation

We provide containers for simple installation, see the next section. If you want to build and install manually on a Linux/BSD system instead, follow these instructions:

First ensure the following dependencies are installed on your system:

• Git
• A sane build environment with a C++ compiler (gcc or clang), make, libtool, pkg-config, autoconf, automake and autoconf-archive
• libbz2, libicu, libxml2 (including -dev versions for the headers, note that the naming of the packages may vary based on your distribution)
  • On debian/ubuntu, the following should suffice to install the necessary global dependencies: sudo apt install make gcc g++ autoconf automake autoconf-archive libtool autotools-dev libicu-dev libxml2-dev libbz2-dev zlib1g-dev

First git clone this repository, enter its directory and build as follows:

$ sudo ./build-deps.sh && ./bootstrap.sh && ./configure && make && sudo make install

If you have no root permissions, set environment variable PREFIX to the target directory where you want to install (ensure it exists), the one in the following example is a sane default:

$ export PREFIX="$HOME/.local/"
$ ./build-deps.sh && ./bootstrap.sh && ./configure --prefix "$PREFIX" && make && make install

Adjust your environment accordingly so the binary and libraries in $PREFIX can be found: On Linux, ensure the value of $PREFIX/lib is added to your $LD_LIBRARY_PATH and $PREFIX/bin directory to your $PATH.

Container Usage

A pre-made container image can be obtained from Docker Hub as follows:

docker pull proycon/ticcltools

You can build a docker container as follows, make sure you are in the root of this repository:

docker build -t proycon/ticcltools .

This builds the latest stable release, if you want to use the latest development version from the git repository instead, do:

docker build -t proycon/ticcltools --build-arg VERSION=development .

Run the container interactively as follows:

docker run -t -i proycon/ticcltools

Or invoke the tool you want:

docker run proycon/ticcltools TICCL-rank

Add the -v /path/to/your/data:/data parameter (before -t) if you want to mount your data volume into the container at /data.