/* DeepParse is distributed under BSD license reproduced below. */ /* It is a fast (due to its greedy nature) and efficient */ /* (near state-of-the-art performance) constituency parser, */ /* based on neural networks. This software is written in C and */ /* requires about 320MB of RAM for its execution. */ /* Copyright (c) 2014 Idiap Research Institute, http://www.idiap.ch/ */ /* Written by Joël Legrand <joel.legrand@idiap.ch> */ /* Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: */ /* 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. */ /* 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. */ /* 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. */ /* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ First of all, download the POS tagger senna (non commercial licence) at this address (http://ml.nec-labs.com/senna/) and unpack it in the folder "senna". =================== Compilation =========================== gcc -Wall -O3 -o parse *.c senna/SENNA_Hash.c senna/SENNA_POS.c senna/SENNA_Tokenizer.c senna/SENNA_utils.c senna/SENNA_nn.c -lblas ============================================================================================== =======> We strongly recommend to compile with BLAS (3/6 time faster using ATlAS/MKL). <====== ============================================================================================== To use Intel MKL library, which provides a very efficient implementation, add the definition USE_MKL_BLAS, as well as correct MKL libraries, include path and proper option (see MKL documentation). gcc -Wall -O3 -o parse -DUSE_MKL_BLAS [..] *.c senna/SENNA_Hash.c senna/SENNA_POS.c senna/SENNA_Tokenizer.c senna/SENNA_utils.c senna/SENNA_nn.c To use the ATLAS BLAS implementation, add the definition USE_MKL_ATLAS. gcc -Wall -O3 -o parse -DUSE_ATLAS_BLAS -lblas *.c senna/SENNA_Hash.c senna/SENNA_POS.c senna/SENNA_Tokenizer.c senna/SENNA_utils.c senna/SENNA_nn.c To use Apple's BLAS implementation with mac, add the definition -DUSE_APPLE_BLAS, as well as the "-framework Accelerate" option. clang -Wall -O3 -o parse -DUSE_APPLE_BLAS -framework Accelerate *.c senna/SENNA_Hash.c senna/SENNA_POS.c senna/SENNA_Tokenizer.c senna/SENNA_utils.c senna/SENNA_nn.c ===================== Execution ============================ * Using Senna POS tags (inferred on the fly): ./parse < input/words-test.txt * Using user's POS tags ./parse -usrpos input/tags-test.txt < input/words-test.txt * Interactive mode ./parse This parser expects token as input. For instance, if one wants to parse the sentence : No, it wasn't Black Monday. , the input should be : No it was n't Black Monday . ======================== Help ================================ ./parse -h