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https://github.com/LowResourceLanguages/champollion

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https://github.com/LowResourceLanguages/champollion

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README

        

Champollion Tool Kit V1.2

About CTK
----------

Champollion Tool Kit (CTK) is a tool kit aiming to provide
ready-to-use parallel text sentence alignment tools for as many
language pairs as possible.

Built around the LDC champollion sentence aligner kernel, the tool kit
provides essential components required for accurate sentence
alignment, including sentence breakers, stemmers, pre-processing
scripts, dictionaries (if possible), post-processing scripts etc.

Currently, CTK includes tools to align English text with Arabic, Chinese,
and Hindi translations. It can be easily expanded to other language pairs.

CTK welcomes contributions from other researchers.

CTK is written in perl.

Installation
------------

After unpack the CTK distribution, you need to set the enviorment
variable CTK to the directory where the package is unpacked, which is
this directory if you haven't done anything funny. And that's it.

To test the installation, try run the following command:

./test_installtion

It will tell you either the installation is good, or bad and in which
case minimum diagnosis will be given.

Please note, the first time you run champollion (or test_installation
which runs champollion internally), the program needs to build certain
databases, which can take up to five minutes.

Input and Output
----------------

The input files for both sides should be one segment (sentence) per
line.

The output (alignment file) looks like the following:

omitted <=> 1
omitted <=> 2
omitted <=> 3
1 <=> 4
2 <=> 5
3 <=> 6
4,5 <=> 7
6 <=> 8
7 <=> 9
8 <=> 10
9 <=> omitted

Every alignment is in the format of:

language1 sentence ids <=> language2 sentence ids

where each language1/language2 sentence ids may contain up to four sentence ids
delimited by commas, it also can be "omitted" indicating no translation
was found. The sentence ids start at 1.

Languages
---------

CTK v1.2 supports three language pairs:

English Chinese(GB)
English Chinese(UTF8)
English Arabic (UTF8)
English Hindi (UTF8)

IMPORTANT: Because we don't have IPRs to distribute the dictionaries
we're using internally, the dictionaries included in this package
are rather small: English Chinese dictionary (about 5K headwords)
and English Arabic dictionary (about 4K headwords). Our experiment
shows that bigger dictionary usually leads better performance, which
means that you may want to use your own dictionary, if it has better
coverage than the one we provide.

Command Line
------------

Command line to run English Chinese sentence aligner:

your_CTK_path/bin/champollion.EC_GB

or

your_CTK_path/bin/champollion.EC_utf8

Command line to run English Arabic sentence aligner:

your_CTK_path/bin/champollion.EA

Command line to run English Hindi sentence aligner:

your_CTK_path/bin/champollion.EH

In addition, there is champollion.generic which can align unknown
language pairs. To run it:

your_CTK_path/bin/champollion.generic

For languages not included in the package, it's strongly recommended
that you write a tokenizer following existing examples, and a stemmer
if possible. Even an imperfect stemmer will make a big difference.

Evaluation Corpus
-----------------

To facilitate the development of better sentence aligners, this
package also includes the manually aligned English Chinese data as an
evaluation corpus. The evaluation corpus is in 'eval' directory.

The data were selected from three sources: UN, Sinorama, and Hong Kong Hansards.

The Chinese files are:

198706005.c.txt 921008fc.txt UN19990209_010.c.txt
200110006.c.txt 930422fc.txt
890621fc.txt UN19930101_020.c.txt

The English files are:

198706005.e.txt 921008fe.txt UN19990209_010.e.txt
200110006.e.txt 930422fe.txt
890621fe.txt UN19930101_020.e.txt

The gold alignment files are:

198706005.gold.align 930422f.gold.align
200110006.gold.align UN19930101_020.gold.align
890621f.gold.align UN19990209_010.gold.align
921008f.gold.align

COPYRIGHT
---------

This software are protected by Common Public License, see LICENSE for
detail.

Contributions, Questions, Bug report, etc.
------------------------------------------

Please contact Xiaoyi Ma at [email protected].

Xiaoyi Ma 6/20/2011
Linguistic Data Consortium
[email protected]