Tools to read OPUS
Project description
OpusTools
Tools for accessing and processing OPUS data.
- opus_read: read parallel data sets and convert to different output formats
- opus_express: Create test/dev/train sets from OPUS data.
- opus_cat: extract given OPUS document from release data
- opus_get: download files from OPUS
- opus_langid: add language ids to sentences in xml files in zip archives
opus_read
Usage
usage: opus_read [-h] -d corpus_name -s langid -t langid [-r version]
[-p {raw,xml,parsed}] [-m M] [-S S] [-T T] [-a attribute]
[-tr TR] [-ln] [-w file_name [file_name ...]]
[-wm {normal,moses,tmx,links}] [-pn] [-f] [-rd path_to_dir]
[-af path_to_file] [-sz path_to_zip] [-tz path_to_zip]
[-cm delimiter] [-pa] [-sa attribute [attribute ...]]
[-ta attribute [attribute ...]] [-ca delimiter]
[--src_cld2 lang_id score] [--trg_cld2 lang_id score]
[--src_langid lang_id score] [--trg_langid lang_id score]
[-id file_name] [-q] [-pi]
arguments:
-h, --help show this help message and exit
-d corpus_name, --directory corpus_name
Corpus name
-s langid, --source langid
Source language
-t langid, --target langid
Target language
-r version, --release version
Release (default=latest)
-p {raw,xml,parsed}, --preprocess {raw,xml,parsed}
Preprocess-type (raw, xml or parsed, default=xml)
-m MAX, --max MAX Maximum number of alignments
-S SRC_RANGE, --src_range SRC_RANGE
Number of source sentences in alignments (range is
allowed, eg. -S 1-2)
-T TGT_RANGE, --tgt_range TGT_RANGE
Number of target sentences in alignments (range is
allowed, eg. -T 1-2)
-a attribute, --attribute attribute
Set attribute for filttering
-tr THRESHOLD, --threshold THRESHOLD
Set threshold for an attribute
-ln, --leave_non_alignments_out
Leave non-alignments out
-w file_name [file_name ...], --write file_name [file_name ...]
Write to file. To print moses format in separate
files, enter two file names. Otherwise enter one file
name.
-wm {normal,moses,tmx,links}, --write_mode {normal,moses,tmx,links}
Set write mode
-pn, --print_file_names
Print file names when using moses format
-f, --fast Fast parsing. Faster than normal parsing, if you print
a small part of the whole corpus, but requires the
sentence ids in alignment files to be in sequence.
-rd path_to_dir, --root_directory path_to_dir
Change root directory (default=/proj/nlpl/data/OPUS/)
-af path_to_file, --alignment_file path_to_file
Use given alignment file
-sz path_to_zip, --source_zip path_to_zip
Use given source zip file
-tz path_to_zip, --target_zip path_to_zip
Use given target zip file
-cm delimiter, --change_moses_delimiter delimiter
Change moses delimiter (default=tab)
-pa, --print_annotations
Print annotations, if they exist
-sa attribute [attribute ...], --source_annotations attribute [attribute ...]
Set source sentence annotation attributes to be
printed, e.g. -sa pos lem. To print all available
attributes use -sa all_attrs (default=pos,lem)
-ta attribute [attribute ...], --target_annotations attribute [attribute ...]
Set target sentence annotation attributes to be
printed, e.g. -ta pos lem. To print all available
attributes use -ta all_attrs (default=pos,lem)
-ca delimiter, --change_annotation_delimiter delimiter
Change annotation delimiter (default=|)
--src_cld2 lang_id score
Filter source sentences by their cld2 language id
labels and confidence score, e.g. en 0.9
--trg_cld2 lang_id score
Filter target sentences by their cld2 language id
labels and confidence score, e.g. en 0.9
--src_langid lang_id score
Filter source sentences by their langid.py language id
labels and confidence score, e.g. en 0.9
--trg_langid lang_id score
Filter target sentences by their langid.py language id
labels and confidence score, e.g. en 0.9
-id file_name, --write_ids file_name
Write sentence ids to a file.
-q, --suppress_prompts
Download necessary files without prompting "(y/n)"
-pi, --preserve_inline_tags
Preserve inline tags within sentences
Examples:
Read sentence alignment in XCES align format:
opus_read -d Books -s en -t fi
Print alignments with alignment certainty > LinkThr=0:
opus_read -d MultiUN -s en -t es -a certainty -tr 0
Print first 10 alignment pairs:
opus_read -d Books -s en -t fi -m 10
Print XCES align format of all 1:1 sentence alignments:
opus_read -d Books -s en -t fi -S 1 -T 1 -wm links
You can also import the module to your python script:
In your_script.py
, first import the package:
import opustools_pkg
If you want to give the arguments on command line, initialize OpusRead
with an empty argument list:
opus_reader = opustools_pkg.OpusRead([])
opus_reader.printPairs()
and then run:
python3 your_script.py -d Books -s en -t fi
You can alternatively initialize OpusRead
with arguments in a list:
opus_reader = opustools_pkg.OpusRead(["-d", "Books", "-s", "en", "-t", "fi"])
opus_reader.printPairs()
and then run:
python3 your_script.py
Description
opus_read
is a script to read sentence alignments stored in XCES align format and prints the aligned sentences to STDOUT. It requires monolingual alignments of sentences in linked XML files. Linked XML files are specified in the "toDoc" and "fromDoc" attributes (see below).
<cesAlign version="1.0">
<linkGrp targType="s" toDoc="source1.xml" fromDoc="target1.xml">
<link certainty="0.88" xtargets="s1.1 s1.2;s1.1" id="SL1" />
....
<linkGrp targType="s" toDoc="source2.xml" fromDoc="target2.xml">
<link certainty="0.88" xtargets="s1.1;s1.1" id="SL1" />
Several parameters can be set to filter the alignments and to print only certain types of alignments.
opus_read
can also be used to filter the XCES alignment files and to print the remaining links in the same
XCES align format. Set the "-wm" flag to "links" to enable this mode.
opus_read
reads the alignments from zip files. Starting up the script might take some time, if the zip files are large (for example OpenSubtitles in OPUS).
opus_read
uses ExhaustiveSentenceParser
by default. This means that each time a <linkGrp>
tag is found, the corresponding source and target documents are read through and each sentence is stored in a hashmap with the sentence id as the key. This allows the reader to read alignment files that have sentence ids in non-sequential order. Each time a <linkGrp>
tag is found, the script pauses printing for a second to read through the source and target documents. The duration of the pause depends on the size of the source and target documents.
Using the "-f" flag allows the usage of SentenceParser
, which is faster than ExhaustiveSentenceParser in cases where only a small part of a corpus is read. SentenceParser
does not store the sentences in a hashmap. Rather, when it finds a <link>
tag, it iterates through a sentence file until a sentence id is matched with the sentence id found in the <link>
tag. SentenceParser can't go backwards, which means that if the ids are not in sequential order in the alignment file, the parser will not find alignment pairs after the sentence id sequence breaks. SentenceParser
is less reliable than ExhaustiveSentenceParser
, but using the "-f" flag is beneficial when the whole corpus does not need to be scanned, in other words, when using the "-m" flag.
opus_express
Usage
usage: opus_express [-h] [-f] -s lang_id -t lang_id
[-c [coll_name [coll_name ...]]]
[--root-dir /path/to/OPUS] [--test-override /path/to/file]
[--test-quota num_sents] [--dev-quota num_sents]
[--doc-bounds] [--quality-aware]
[--overlap-threshold min_pct] [--shuffle]
[--test-set filename] [--dev-set filename]
[--train-set filename]
arguments:
-h, --help show this help message and exit
-f, --force suppress warnings (default: False)
-s lang_id, --src-lang lang_id
source language (e.g. `en')
-t lang_id, --tgt-lang lang_id
target language (e.g. `pt')
-c [coll_name [coll_name ...]], --collections [coll_name [coll_name ...]]
OPUS collection(s) to fetch (default: `OpenSubtitles')
Collections list: ['ALL', 'ada83', 'Bianet', 'bible-
uedin', 'Books', 'CAPES', 'DGT', 'DOGC', 'ECB',
'EhuHac', 'Elhuyar', 'EMEA', 'EUbookshop', 'EUconst',
'Europarl', 'Finlex', 'fiskmo', 'giga-fren',
'GlobalVoices', 'GNOME', 'hrenWaC', 'JRC-Acquis',
'KDE4', 'KDEdoc', 'MBS', 'memat', 'MontenegrinSubs',
'MPC1', 'MultiUN', 'News-Commentary', 'OfisPublik',
'OpenOffice', 'OpenSubtitles', 'ParaCrawl', 'PHP',
'QED', 'RF', 'sardware', 'SciELO', 'SETIMES', 'SPC',
'Tanzil', 'Tatoeba', 'TED2013', 'TedTalks', 'TEP',
'TildeMODEL', 'Ubuntu', 'UN', 'UNPC', 'wikimedia',
'Wikipedia', 'WikiSource', 'WMT-News', 'XhosaNavy']
--root-dir /path/to/OPUS
Root directory for OPUS
(default:`/proj/nlpl/data/OPUS')
--test-override /path/to/file
path to file containing resource IDs to reserve for
the test set (default: None)
--test-quota num_sents
test set size in sentences (default: 10000)
--dev-quota num_sents
development set size in sentences (default: 10000)
--doc-bounds preserve document blocks (also marks document
boundaries) (default: False)
--quality-aware reserve one-to-one aligned samples with high overlap
for test/dev sets (incompatible with `--doc-bounds')
(default: False)
--overlap-threshold min_pct
threshold for alignment overlap in `--quality-aware'
mode (default: 0.8)
--shuffle shuffle samples (incompatible with `--doc-bounds')
(default: False)
--test-set filename filename stub for output test set (default: `test')
--dev-set filename filename stub for output development set (default:
`dev')
--train-set filename filename stub for output training set (default:
`train')
Description
All aboard the OPUS Express! Create test/dev/train sets from OPUS data.
opus_cat
Usage
usage: opus_cat [-h] -d D -l L [-i] [-m M] [-p] [-f F] [-r R] [-pa]
[-sa SA [SA ...]] [-ca CA]
arguments:
-h, --help show this help message and exit
-d D Corpus name
-l L Language
-i Print without ids when using -p
-m M Maximum number of sentences
-p Print in plain txt
-f F File name (if not given, prints all files)
-r R Release (default=latest)
-pa Print annotations, if they exist
-sa SA [SA ...] Set sentence annotation attributes to be printed, e.g. -sa
pos lem. To print all available attributes use -sa
all_attrs (default=pos,lem)
-ca CA Change annotation delimiter (default=|)
You can also import the module to your python script:
In your_script.py
, first import the package:
import opustools_pkg
If you want to give the arguments on command line, initialize OpusCat
with an empty argument list:
opus_cat = opustools_pkg.OpusCat([])
opus_cat.printSentences()
and then run:
python3 your_script.py -d Books -s en
You can alternatively initialize OpusCat
with arguments in a list:
opus_cat = opustools_pkg.OpusRead(["-d", "Books", "-l", "en"])
opus_cat.printSentences()
and then run:
python3 your_script.py
Description
Read a document from OPUS and print to STDOUT
opus_get
Usage
opus-get [-h] -s S [-t T] [-d D] [-r R] [-p {raw,xml,parsed}] [-l]
[-dl DL] [-q]
arguments:
-h, --help show this help message and exit
-s S Source language
-t T Target language
-d D Corpus name
-r R Release
-p {raw,xml,parsed} Pre-process type
-l List resources
-dl DL Set download directory (default=current directory)
-q Download necessary files without prompting "(y/n)"
Description
Download files from OPUS
opus_langid
Usage
opus_langid [-h] -f F [-t T] [-v] [-s]
arguments:
-h, --help show this help message and exit
-f F File path
-t T Target file path. By default, the original file is edited
-v Verbosity. -v: print current xml file
-s Suppress error messages in language detection
Description
Add language ids to sentences in plain xml files or xml files in zip archives using pycld2 and langid.py.
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