This repository provides
- the
4lang
concept dictionary, which contains manually written concept definitions. (Learn more about the filelds of the tsv file here) - the
text_to_4lang
module, which creates concept graph representations from running text - the
dict_to_4lang
module, which builds more of these definitions from human-readable dictionaries
Our tools require an installation of the pymachine implementation of Eilenberg-machines.
For lemmatization, 4lang
uses the hunmorph
tool, on most UNIX-based systems you can use these pre-compiled executables and models (just extract them in your 4lang
directory). On 64-bit systems you may have to install the libc6-i386
package for the hundisambig
binary to work.
NOTE: All remaining dependencies are required only for building 4lang graphs, so in case you only want to use the graphs we provide (e.g. for the machine similarity component of our Semeval STS system), you can skip the rest of this section and continue to download pre-compiled graphs.
For parsing dictionary definitions, 4lang
requires the Stanford Dependency Parser. Additionally, text_to_4lang.py
requires the Stanford CoreNLP toolkit for parsing and coreference resolution, while the dict_to_4lang
tool requires jython for customized parsing via the Stanford Parser API. Both tools require a copy of the RNN-based parser model for English, which is distributed alongside the Stanford Parser.
Currently, text_to_4lang
requires the installation of the corenlp-server package. Just download the repository and follow the instructions in its README to build the package and start the server (mvn package; mvn exec:java -D server), the text_to_4lang module will then be able to connect.
After downloading and installing these tools, all you need to do is edit the stanford
and corenlp
sections of the default configuration file conf/default.cfg
so that the relevant fields point to your installations of each tool and your copy of the englishRNN.ser.gz model (more on config files below).
We provide serialized machine graphs built from 4lang
definitions as well as from the English Wiktionary (using the dict_to_4lang
module). Unpacking this archive in your 4lang
directory will place them in the data/machines
directory, which is the default location for compiled machine graphs.
The location of your installations of the above third-party tools, as well as 4lang must be specified via environment variables. These variables must always be set, there are no fallback values to avoid strange bugs. Here's an example of a bashrc
file setting all required variables:
export FOURLANGPATH=/home/recski/projects/4lang
export JYTHONPATH=/home/recski/projects/jython/jython/bin/jython
export STANFORDPATH=/home/recski/projects/stanford_dp
export MAGYARLANCPATH=/home/recski/projects/4lang/magyarlanc
export HUNTOOLSBINPATH=/home/recski/sandbox/huntools_binaries
Note that the JYTHONPATH
variable must point to the jython binary directly (and not a directory), since various jython installations may have different directory structures.
To use 4lang
from our Semeval STS system you just need to edit the 4langpath
and hunmorph_path
attributes in your semeval config file so that they point to your 4lang directory and the downloaded hunmorph
binaries, respectively.
To run each module on small test datasets, simply run
python src/dict_to_4lang.py
python src/text_to_4lang.py
Both tools can be configured by editing a copy of conf/default.cfg and running
python src/dict_to_4lang.py MY_CONFIG_FILE
to build 4lang
-style definitions from a monolingual dictionary such as Wiktionary or Longman
cat INPUT_FILE | python src/text_to_4lang.py MY_CONFIG_FILE
to create concept graphs from running English text
This repository is maintained by Gábor Recski. Questions, suggestions, bug reports, etc. are very welcome and can be sent by email to recski at aut bme hu.
If you use the 4lang
module, please cite:
@inproceedings{Kornai:2015a,
author = {Kornai, Andr\'as and \'{A}cs, Judit and Makrai, M\'{a}rton and Nemeskey, D\'{a}vid M\'{a}rk and Pajkossy, Katalin and Recski, G\'{a}bor},
title = {Competence in lexical semantics},
booktitle = {Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics},
month = {June},
year = {2015},
address = {Denver, Colorado},
publisher = {Association for Computational Linguistics},
pages = {165--175},
url = {ht