Dockerfile - KorAP/Tokenizer-Evaluation - Gitiles

 FROM --platform=linux/amd64 debian:bookworm-slim

 WORKDIR /euralex

 RUN echo "Dies ist ein Test. Also, nur ein Beispiel." > example.txt

 RUN apt-get update && \
     apt-get install -y git \
     wget \
     unzip \
     perl \
     golang

 ############
 # Check WC #
 ############
 RUN echo "WC\n" && wc -w ./example.txt


 ##################
 # Install SoMaJo #
 ##################
 RUN apt-get install -y python3-dev \
     python3 \
     python3-pip && \
     pip3 install SoMaJo==2.2.0

 RUN echo "SOMAJO\n" && somajo-tokenizer --split_sentences ./example.txt


 ###################
 # Install OpenNLP #
 ###################
 RUN apt-get install -y openjdk-11-jdk

 RUN wget https://dlcdn.apache.org/opennlp/opennlp-1.9.4/apache-opennlp-1.9.4-bin.zip && \
     unzip apache-opennlp-1.9.4-bin.zip -x apache-opennlp-1.9.4/docs/* && \
     rm apache-opennlp-1.9.4-bin.zip && \
     mv apache-opennlp-1.9.4 opennlp && \
     mkdir ./opennlp/models && \
     wget https://dlcdn.apache.org/opennlp/models/ud-models-1.0/opennlp-de-ud-gsd-sentence-1.0-1.9.3.bin && \
     wget https://dlcdn.apache.org/opennlp/models/ud-models-1.0/opennlp-de-ud-gsd-tokens-1.0-1.9.3.bin && \
     mv opennlp-de-ud-gsd-sentence-1.0-1.9.3.bin ./opennlp/models/ && \
     mv opennlp-de-ud-gsd-tokens-1.0-1.9.3.bin ./opennlp/models/

 RUN echo "OpenNLP (1)\n" && cat example.txt | ./opennlp/bin/opennlp SimpleTokenizer

 RUN echo "OpenNLP (2)\n" && cat example.txt | ./opennlp/bin/opennlp TokenizerME ./opennlp/models/opennlp-de-ud-gsd-tokens-1.0-1.9.3.bin

 RUN echo "OpenNLP (3)\n" && cat example.txt | ./opennlp/bin/opennlp SentenceDetector ./opennlp/models/opennlp-de-ud-gsd-sentence-1.0-1.9.3.bin


 ######################
 # Install TreeTagger #
 ######################
 RUN mkdir ./treetagger && \
     cd treetagger && \
     wget https://cis.uni-muenchen.de/~schmid/tools/TreeTagger/data/tagger-scripts.tar.gz && \
     tar -xvzf tagger-scripts.tar.gz && \
     rm tagger-scripts.tar.gz

 RUN echo "TreeTagger\n" && cat example.txt | ./treetagger/cmd/utf8-tokenize.perl -a ./treetagger/lib/german-abbreviations


 ####################
 # Install deep-eos #
 ####################
 RUN wget https://github.com/dbmdz/deep-eos/archive/refs/tags/v0.1.zip && \
     unzip v0.1.zip && \
     mv deep-eos-0.1 deep-eos && \
     cd deep-eos && \
     wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/cnn-de.model && \
     wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/cnn-de.vocab && \
     wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/bi-lstm-de.model && \
     wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/bi-lstm-de.vocab && \
     wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/lstm-de.model && \
     wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/lstm-de.vocab

 RUN pip3 install --upgrade pip && \
     pip3 install --upgrade tensorflow

 RUN pip3 install keras

 RUN sed -i 's/from keras.utils import plot_model/from tensorflow.keras.utils import plot_model/' ./deep-eos/eos.py

 RUN echo "deep-eos (1)\n" && python3 ./deep-eos/main.py --input-file example.txt --model-filename ./deep-eos/cnn-de.model --vocab-filename ./deep-eos/cnn-de.vocab --eos-marker "§" tag

 RUN echo "deep-eos (2)\n" && python3 ./deep-eos/main.py --input-file example.txt --model-filename ./deep-eos/bi-lstm-de.model --vocab-filename ./deep-eos/bi-lstm-de.vocab --eos-marker "§" tag

 RUN echo "deep-eos (3)\n" && python3 ./deep-eos/main.py --input-file example.txt --model-filename ./deep-eos/lstm-de.model --vocab-filename ./deep-eos/lstm-de.vocab --eos-marker "§" tag


 ################
 # Install JTok #
 ################

 RUN apt-get install -y maven

 RUN wget https://github.com/DFKI-MLT/JTok/archive/refs/tags/v2.1.19.zip && \
     unzip v2.1.19.zip && \
     rm v2.1.19.zip && \
     cd JTok-2.1.19 && \
     JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64 mvn clean package assembly:single && \
     cd .. && \
     unzip ./JTok-2.1.19/target/jtok-core-2.1.19-bin.zip && \
     rm -r JTok-2.1.19 && \
     mv jtok-core-2.1.19 JTok

 RUN echo "JTok\n" && \
     cd ./JTok/bin && \
     sh tokenize /euralex/example.txt de


 ##################
 # Install Syntok #
 ##################
 RUN pip3 install syntok==1.4.3

 RUN echo "Syntok (1)\n" && python3 -m syntok.tokenizer ./example.txt

 RUN echo "Syntok (2)\n" && python3 -m syntok.segmenter ./example.txt


 #################
 # Install Waste #
 #################
 RUN mkdir Waste && \
     cd Waste && \
     wget https://cudmuncher.de/~moocow/mirror/projects/moot/moot-2.0.20-1.tar.gz && \
     wget https://kaskade.dwds.de/waste/waste-models/waste-data.de-dstar-tiger.tar.gz && \
     tar -xvzf moot-2.0.20-1.tar.gz && \
     tar -xvzf waste-data.de-dstar-tiger.tar.gz

 RUN cd ./Waste/moot-2.0.20-1 && \
     ./configure && \
     make && \
     make install && \
     ldconfig && \
     echo "abbrevs /euralex/Waste/de-dstar-dtiger/abbr.lex\nstopwords /euralex/Waste/de-dstar-dtiger/stop.lex\nconjunctions /euralex/Waste/de-dstar-dtiger/conj.lex\nmodel /euralex/Waste/de-dstar-dtiger/model.hmm" > /euralex/Waste/waste.rc

 RUN echo "Waste\n" && cat ./example.txt | waste -N --rcfile=./Waste/waste.rc


 ###################
 # Install nnsplit #
 ###################

 COPY nnsplit_bench /euralex/nnsplit_bench/

 RUN apt-get update && apt-get install -y cargo

 RUN cd ./nnsplit_bench && \
     cargo build --release

 RUN mkdir ./nnsplit && \
     mv ./nnsplit_bench/target/release/nnsplit_bench ./nnsplit/nnsplit_bench && \
     rm -r ./nnsplit_bench/target

 RUN echo "nnsplit\n" && ./nnsplit/nnsplit_bench example.txt

 ####################
 # Install Elephant #
 ####################

 RUN apt-get install -y python2

 RUN ln -s /usr/bin/python2 /usr/bin/python

 RUN git clone https://github.com/erwanm/elephant-wrapper.git && \
     cd elephant-wrapper/third-party && \
     git clone https://github.com/ParallelMeaningBank/elephant.git && \
     git clone https://github.com/Jekub/Wapiti.git && \
     git clone https://github.com/mspandit/rnnlm.git

 RUN cd elephant-wrapper && \
     make && \
     make install && \
     cd .. && \
     mv ./elephant-wrapper/bin/elephant /usr/local/bin/ && \
     mv ./elephant-wrapper/bin/wapiti /usr/local/bin/

 RUN echo "Elephant-Wrapper" && ./elephant-wrapper/bin/tokenize.sh -i example.txt UD_German


 #################
 # Install SpaCy #
 #################

 RUN pip3 install -U spacy==3.2.3

 COPY spacy /euralex/spacy/

 RUN echo "SpaCy" && python3 ./spacy/spacy_tok.py example.txt

 # Sentence splitter
 RUN python3 -m spacy download de_core_news_sm && \
     python3 -m spacy download de_dep_news_trf


 ###########################
 # Install Stanford parser #
 ###########################

 # Following https://stanfordnlp.github.io/CoreNLP/index.html

 RUN wget https://nlp.stanford.edu/software/stanford-corenlp-latest.zip

 RUN wget https://search.maven.org/remotecontent?filepath=edu/stanford/nlp/stanford-corenlp/4.4.0/stanford-corenlp-4.4.0-models-german.jar -O stanford-corenlp-4.4.0-models-german.jar

 RUN unzip stanford-corenlp-latest.zip && \
     rm stanford-corenlp-latest.zip && \
     mv stanford-corenlp-4.4.0-models-german.jar stanford-corenlp-4.4.0/

 # Run with threads!
 RUN echo "StanfordNLP" && \
     CLASSPATH=/euralex/stanford-corenlp-4.4.0/* java edu.stanford.nlp.pipeline.StanfordCoreNLP \
     -annotators tokenize \
     -tokenize.language=german \
     -file example.txt


 ##################
 # Install Cutter #
 ##################

 RUN pip3 install cutter-ng==2.5

 COPY cutter /euralex/cutter/

 RUN echo "Cutter\n" && python3 ./cutter/cutter.py nosent example.txt


 #####################
 # Install BlingFire #
 #####################

 RUN pip3 install -U blingfire==0.1.8

 COPY blingfire /euralex/blingfire/

 RUN echo "BlingFire\n" && python3 ./blingfire/blingfire_tok.py example.txt


 #################
 # Install Datok #
 #################

 RUN wget https://github.com/KorAP/Datok/archive/refs/tags/v0.1.1.zip && \
     unzip v0.1.1.zip && \
     rm v0.1.1.zip && \
     mv Datok-0.1.1 Datok && \
     cd Datok && \
     go build ./cmd/datok.go

 RUN echo "DATOK\n" && cat example.txt | ./Datok/datok tokenize -t ./Datok/testdata/tokenizer.matok -


 ###########################
 # Install KorAP-Tokenizer #
 ###########################

 RUN mkdir KorAP-Tokenizer && \
     cd KorAP-Tokenizer && \
     wget https://github.com/KorAP/KorAP-Tokenizer/releases/download/v2.2.2/KorAP-Tokenizer-2.2.2-standalone.jar && \
     mv KorAP-Tokenizer-2.2.2-standalone.jar KorAP-Tokenizer.jar

 RUN echo "KorAP-Tokenizer\n" && cat example.txt | java -jar KorAP-Tokenizer/KorAP-Tokenizer.jar -l de -s -


 RUN useradd -ms /bin/bash euralex

 RUN rm -r ./nnsplit_bench && \
     rm /euralex/v0.1.zip

 RUN chown euralex:euralex -R /euralex

 USER euralex

 WORKDIR /euralex

 ENTRYPOINT [ "perl" ]

 LABEL maintainer="korap@ids-mannheim.de"
 LABEL description="Tokenizer evaluation for EURALEX"
	FROM --platform=linux/amd64 debian:bookworm-slim

	WORKDIR /euralex

	RUN echo "Dies ist ein Test. Also, nur ein Beispiel." > example.txt

	RUN apt-get update && \
	apt-get install -y git \
	wget \
	unzip \
	perl \
	golang

	############
	# Check WC #
	############
	RUN echo "WC\n" && wc -w ./example.txt


	##################
	# Install SoMaJo #
	##################
	RUN apt-get install -y python3-dev \
	python3 \
	python3-pip && \
	pip3 install SoMaJo==2.2.0

	RUN echo "SOMAJO\n" && somajo-tokenizer --split_sentences ./example.txt


	###################
	# Install OpenNLP #
	###################
	RUN apt-get install -y openjdk-11-jdk

	RUN wget https://dlcdn.apache.org/opennlp/opennlp-1.9.4/apache-opennlp-1.9.4-bin.zip && \
	unzip apache-opennlp-1.9.4-bin.zip -x apache-opennlp-1.9.4/docs/* && \
	rm apache-opennlp-1.9.4-bin.zip && \
	mv apache-opennlp-1.9.4 opennlp && \
	mkdir ./opennlp/models && \
	wget https://dlcdn.apache.org/opennlp/models/ud-models-1.0/opennlp-de-ud-gsd-sentence-1.0-1.9.3.bin && \
	wget https://dlcdn.apache.org/opennlp/models/ud-models-1.0/opennlp-de-ud-gsd-tokens-1.0-1.9.3.bin && \
	mv opennlp-de-ud-gsd-sentence-1.0-1.9.3.bin ./opennlp/models/ && \
	mv opennlp-de-ud-gsd-tokens-1.0-1.9.3.bin ./opennlp/models/

	RUN echo "OpenNLP (1)\n" && cat example.txt \| ./opennlp/bin/opennlp SimpleTokenizer

	RUN echo "OpenNLP (2)\n" && cat example.txt \| ./opennlp/bin/opennlp TokenizerME ./opennlp/models/opennlp-de-ud-gsd-tokens-1.0-1.9.3.bin

	RUN echo "OpenNLP (3)\n" && cat example.txt \| ./opennlp/bin/opennlp SentenceDetector ./opennlp/models/opennlp-de-ud-gsd-sentence-1.0-1.9.3.bin


	######################
	# Install TreeTagger #
	######################
	RUN mkdir ./treetagger && \
	cd treetagger && \
	wget https://cis.uni-muenchen.de/~schmid/tools/TreeTagger/data/tagger-scripts.tar.gz && \
	tar -xvzf tagger-scripts.tar.gz && \
	rm tagger-scripts.tar.gz

	RUN echo "TreeTagger\n" && cat example.txt \| ./treetagger/cmd/utf8-tokenize.perl -a ./treetagger/lib/german-abbreviations


	####################
	# Install deep-eos #
	####################
	RUN wget https://github.com/dbmdz/deep-eos/archive/refs/tags/v0.1.zip && \
	unzip v0.1.zip && \
	mv deep-eos-0.1 deep-eos && \
	cd deep-eos && \
	wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/cnn-de.model && \
	wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/cnn-de.vocab && \
	wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/bi-lstm-de.model && \
	wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/bi-lstm-de.vocab && \
	wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/lstm-de.model && \
	wget https://github.com/dbmdz/deep-eos/releases/download/v0.1/lstm-de.vocab

	RUN pip3 install --upgrade pip && \
	pip3 install --upgrade tensorflow

	RUN pip3 install keras

	RUN sed -i 's/from keras.utils import plot_model/from tensorflow.keras.utils import plot_model/' ./deep-eos/eos.py

	RUN echo "deep-eos (1)\n" && python3 ./deep-eos/main.py --input-file example.txt --model-filename ./deep-eos/cnn-de.model --vocab-filename ./deep-eos/cnn-de.vocab --eos-marker "§" tag

	RUN echo "deep-eos (2)\n" && python3 ./deep-eos/main.py --input-file example.txt --model-filename ./deep-eos/bi-lstm-de.model --vocab-filename ./deep-eos/bi-lstm-de.vocab --eos-marker "§" tag

	RUN echo "deep-eos (3)\n" && python3 ./deep-eos/main.py --input-file example.txt --model-filename ./deep-eos/lstm-de.model --vocab-filename ./deep-eos/lstm-de.vocab --eos-marker "§" tag


	################
	# Install JTok #
	################

	RUN apt-get install -y maven

	RUN wget https://github.com/DFKI-MLT/JTok/archive/refs/tags/v2.1.19.zip && \
	unzip v2.1.19.zip && \
	rm v2.1.19.zip && \
	cd JTok-2.1.19 && \
	JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64 mvn clean package assembly:single && \
	cd .. && \
	unzip ./JTok-2.1.19/target/jtok-core-2.1.19-bin.zip && \
	rm -r JTok-2.1.19 && \
	mv jtok-core-2.1.19 JTok

	RUN echo "JTok\n" && \
	cd ./JTok/bin && \
	sh tokenize /euralex/example.txt de


	##################
	# Install Syntok #
	##################
	RUN pip3 install syntok==1.4.3

	RUN echo "Syntok (1)\n" && python3 -m syntok.tokenizer ./example.txt

	RUN echo "Syntok (2)\n" && python3 -m syntok.segmenter ./example.txt


	#################
	# Install Waste #
	#################
	RUN mkdir Waste && \
	cd Waste && \
	wget https://cudmuncher.de/~moocow/mirror/projects/moot/moot-2.0.20-1.tar.gz && \
	wget https://kaskade.dwds.de/waste/waste-models/waste-data.de-dstar-tiger.tar.gz && \
	tar -xvzf moot-2.0.20-1.tar.gz && \
	tar -xvzf waste-data.de-dstar-tiger.tar.gz

	RUN cd ./Waste/moot-2.0.20-1 && \
	./configure && \
	make && \
	make install && \
	ldconfig && \
	echo "abbrevs /euralex/Waste/de-dstar-dtiger/abbr.lex\nstopwords /euralex/Waste/de-dstar-dtiger/stop.lex\nconjunctions /euralex/Waste/de-dstar-dtiger/conj.lex\nmodel /euralex/Waste/de-dstar-dtiger/model.hmm" > /euralex/Waste/waste.rc

	RUN echo "Waste\n" && cat ./example.txt \| waste -N --rcfile=./Waste/waste.rc


	###################
	# Install nnsplit #
	###################

	COPY nnsplit_bench /euralex/nnsplit_bench/

	RUN apt-get update && apt-get install -y cargo

	RUN cd ./nnsplit_bench && \
	cargo build --release

	RUN mkdir ./nnsplit && \
	mv ./nnsplit_bench/target/release/nnsplit_bench ./nnsplit/nnsplit_bench && \
	rm -r ./nnsplit_bench/target

	RUN echo "nnsplit\n" && ./nnsplit/nnsplit_bench example.txt

	####################
	# Install Elephant #
	####################

	RUN apt-get install -y python2

	RUN ln -s /usr/bin/python2 /usr/bin/python

	RUN git clone https://github.com/erwanm/elephant-wrapper.git && \
	cd elephant-wrapper/third-party && \
	git clone https://github.com/ParallelMeaningBank/elephant.git && \
	git clone https://github.com/Jekub/Wapiti.git && \
	git clone https://github.com/mspandit/rnnlm.git

	RUN cd elephant-wrapper && \
	make && \
	make install && \
	cd .. && \
	mv ./elephant-wrapper/bin/elephant /usr/local/bin/ && \
	mv ./elephant-wrapper/bin/wapiti /usr/local/bin/

	RUN echo "Elephant-Wrapper" && ./elephant-wrapper/bin/tokenize.sh -i example.txt UD_German


	#################
	# Install SpaCy #
	#################

	RUN pip3 install -U spacy==3.2.3

	COPY spacy /euralex/spacy/

	RUN echo "SpaCy" && python3 ./spacy/spacy_tok.py example.txt

	# Sentence splitter
	RUN python3 -m spacy download de_core_news_sm && \
	python3 -m spacy download de_dep_news_trf


	###########################
	# Install Stanford parser #
	###########################

	# Following https://stanfordnlp.github.io/CoreNLP/index.html

	RUN wget https://nlp.stanford.edu/software/stanford-corenlp-latest.zip

	RUN wget https://search.maven.org/remotecontent?filepath=edu/stanford/nlp/stanford-corenlp/4.4.0/stanford-corenlp-4.4.0-models-german.jar -O stanford-corenlp-4.4.0-models-german.jar

	RUN unzip stanford-corenlp-latest.zip && \
	rm stanford-corenlp-latest.zip && \
	mv stanford-corenlp-4.4.0-models-german.jar stanford-corenlp-4.4.0/

	# Run with threads!
	RUN echo "StanfordNLP" && \
	CLASSPATH=/euralex/stanford-corenlp-4.4.0/* java edu.stanford.nlp.pipeline.StanfordCoreNLP \
	-annotators tokenize \
	-tokenize.language=german \
	-file example.txt


	##################
	# Install Cutter #
	##################

	RUN pip3 install cutter-ng==2.5

	COPY cutter /euralex/cutter/

	RUN echo "Cutter\n" && python3 ./cutter/cutter.py nosent example.txt


	#####################
	# Install BlingFire #
	#####################

	RUN pip3 install -U blingfire==0.1.8

	COPY blingfire /euralex/blingfire/

	RUN echo "BlingFire\n" && python3 ./blingfire/blingfire_tok.py example.txt


	#################
	# Install Datok #
	#################

	RUN wget https://github.com/KorAP/Datok/archive/refs/tags/v0.1.1.zip && \
	unzip v0.1.1.zip && \
	rm v0.1.1.zip && \
	mv Datok-0.1.1 Datok && \
	cd Datok && \
	go build ./cmd/datok.go

	RUN echo "DATOK\n" && cat example.txt \| ./Datok/datok tokenize -t ./Datok/testdata/tokenizer.matok -


	###########################
	# Install KorAP-Tokenizer #
	###########################

	RUN mkdir KorAP-Tokenizer && \
	cd KorAP-Tokenizer && \
	wget https://github.com/KorAP/KorAP-Tokenizer/releases/download/v2.2.2/KorAP-Tokenizer-2.2.2-standalone.jar && \
	mv KorAP-Tokenizer-2.2.2-standalone.jar KorAP-Tokenizer.jar

	RUN echo "KorAP-Tokenizer\n" && cat example.txt \| java -jar KorAP-Tokenizer/KorAP-Tokenizer.jar -l de -s -


	RUN useradd -ms /bin/bash euralex

	RUN rm -r ./nnsplit_bench && \
	rm /euralex/v0.1.zip

	RUN chown euralex:euralex -R /euralex

	USER euralex

	WORKDIR /euralex

	ENTRYPOINT [ "perl" ]

	LABEL maintainer="korap@ids-mannheim.de"
	LABEL description="Tokenizer evaluation for EURALEX"