This commit is contained in:
rjawor 2019-06-26 10:03:51 +02:00
parent d39b16e606
commit 1178191180
7 changed files with 139 additions and 3 deletions

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@ -1,5 +1,5 @@
corpora/**/*.lem
corpora/**/*.norm
corpora/**/*.tok
corpora/**/alignments.txt
corpora/**/falign_corpus.txt
corpora/**/falign_result.txt
@ -8,3 +8,4 @@ corpora/**/src.dict
corpora/**/src_clean.txt
corpora/**/trg.dict
corpora/**/trg_clean.txt
corpus.cfg

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@ -8,7 +8,11 @@ ENV LANG pl_PL.UTF-8
ENV LANGUAGE pl_PL:pl
ENV LC_ALL pl_PL.UTF-8
RUN apt-get install -y git cmake g++ python3 python3-pip
RUN apt-get install -y git cmake g++ python3 python3-pip libfcgi-dev libpq-dev python3-psycopg2 nginx php apache2 libapache2-mod-php spawn-fcgi cmake g++ libboost-dev libboost-serialization-dev libboost-test-dev libboost-filesystem-dev libboost-system-dev libboost-program-options-dev libboost-iostreams-dev libboost-regex-dev libboost-locale-dev liblog4cpp5-dev libconfig++-dev libconfig-dev libpcre3-dev
RUN git clone https://git.code.sf.net/p/tmconcordia/code
RUN cd code && mkdir build && cd build && ../cmake.sh && make && make install && ldconfig
RUN pip3 install requests
RUN git clone https://git.wmi.amu.edu.pl/rjawor/concordia-aligner.git
RUN git clone https://github.com/clab/fast_align

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@ -0,0 +1,8 @@
#!/bin/sh
CORPUS_NAME=opensubtitles
CORPUS_PATH=../fast-aligner/corpora/$CORPUS_NAME
SRC_LANG_ID=1
TRG_LANG_ID=2
./addFastAlignedTM.py $CORPUS_NAME $CORPUS_PATH/src_clean.txt $CORPUS_PATH/src_clean.lem $SRC_LANG_ID $CORPUS_PATH/trg_clean.txt $TRG_LANG_ID $CORPUS_PATH/alignments.txt $CORPUS_PATH/ids_clean.txt

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#!/usr/bin/python
# -*- coding: utf-8 -*-
import json
import urllib2
import sys
import time
BUFFER_SIZE = 500
LEAVE_OUT = 1 # that does not leave out anything
address = 'http://127.0.0.1:10001'
def file_len(fname):
with open(fname) as f:
for i, l in enumerate(f):
pass
return i + 1
def add_examples(examplesData):
req = urllib2.Request(address)
req.add_header('Content-Type', 'application/json')
response = json.loads(urllib2.urlopen(req, json.dumps(examplesData), timeout = 3600).read())
print(response)
if response['status'] == 'error':
raise Exception(response['message'])
if len(sys.argv) != 9:
raise Exception("wrong number of arguments")
name = sys.argv[1]
sourceFile = sys.argv[2]
lemmatizedSourceFile = sys.argv[3]
sourceLangId = int(sys.argv[4])
targetFile = sys.argv[5]
targetLangId = int(sys.argv[6])
alignmentsFile = sys.argv[7]
sourceIdsFile = sys.argv[8]
sourceFileLength = file_len(sourceFile)
lemmatizedSourceFileLength = file_len(lemmatizedSourceFile)
targetFileLength = file_len(targetFile)
alignmentsFileLength = file_len(alignmentsFile)
sourceIdsFileLength = file_len(sourceIdsFile)
if not (sourceFileLength == lemmatizedSourceFileLength and lemmatizedSourceFileLength == targetFileLength and targetFileLength == alignmentsFileLength and alignmentsFileLength == sourceIdsFileLength):
print("File lengths:")
print("source file: %d\nlemmatized source file: %d\ntarget file: %d\nalignments file: %d\nsource ids file: %d" % (sourceFileLength, lemmatizedSourceFileLength, targetFileLength, alignmentsFileLength, sourceIdsFileLength))
raise Exception("files are not of the same length!")
totalExamples = sourceFileLength / LEAVE_OUT
data = {
'operation': 'addTm',
'sourceLangId':sourceLangId,
'targetLangId':targetLangId,
'name':name,
'tmLemmatized':True
}
req = urllib2.Request(address)
req.add_header('Content-Type', 'application/json')
response = json.loads(urllib2.urlopen(req, json.dumps(data), timeout = 3600).read())
print(response)
tmId = int(response['newTmId'])
print "Added new tm: %d" % tmId
data = {
'operation': 'addSentences',
'tmId':tmId
}
examples = []
start = time.time()
with open(sourceFile) as source_file, open(lemmatizedSourceFile) as lemmatized_source_file, open(targetFile) as target_file, open(alignmentsFile) as alignments_file, open(sourceIdsFile) as source_ids_file:
addedCount = 0
for lineNumber in range(sourceFileLength):
if lineNumber % LEAVE_OUT == 0:
sourceSentence = source_file.readline().strip()
lemmatizedSourceSentence = lemmatized_source_file.readline().strip()
targetSentence = target_file.readline().strip()
alignment = json.loads(alignments_file.readline().strip())
sourceId = int(source_ids_file.readline().strip())
examples.append([sourceSentence, lemmatizedSourceSentence, targetSentence, alignment, sourceId])
addedCount += 1
if len(examples) >= BUFFER_SIZE:
data['examples'] = examples
add_examples(data)
mark = time.time()
print "Added %d of %d lemmatized examples. Time elapsed: %.4f s, current speed: %.4f examples/second" % (addedCount, totalExamples, mark-start, addedCount/(mark-start))
examples = []
if len(examples) > 0:
data['examples'] = examples
add_examples(data)
end = time.time()
print "Added all %d lemmatized sentences. Time elapsed: %.4f s, overall speed: %.4f sentences/second" % (addedCount, end-start, addedCount/(end-start))
print "Generating index..."
start = time.time()
data = {
'operation': 'refreshIndex',
'tmId' : tmId
}
req = urllib2.Request(address)
req.add_header('Content-Type', 'application/json')
urllib2.urlopen(req, json.dumps(data), timeout = 3600).read()
end = time.time()
print "Index regeneration complete. The operation took %.4f s" % (end - start)

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@ -1,3 +1,4 @@
#!/bin/sh
docker run -it --rm --name=concordia-aligner --network=concordiadocker_default --mount src="$(pwd)"/corpora,target=/concordia-aligner/corpora,type=bind concordia-aligner:Dockerfile cd concordia-aligner && make clean && make
#docker run -it --rm --name=concordia-aligner --network=concordiadocker_default --mount src="$(pwd)"/corpora,target=/concordia-aligner/corpora,type=bind concordia-aligner:Dockerfile cd concordia-aligner && make clean && make
docker run -it --rm --name=concordia-aligner --network=concordiadocker_default --mount src="$(pwd)"/corpora,target=/concordia-aligner/corpora,type=bind concordia-aligner:Dockerfile

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CORPUS_NAME=opensubtitles_sample
CORPUS_PATH=corpora/$CORPUS_NAME
# Language configuration. Available language ids:
# 1 - Polish
# 2 - English
SRC_LANG_ID=1
TRG_LANG_ID=2