Home

Awesome

NLP Engine

Tutorial Videos

Many of you have been asking for tutorial videos on NLP++ and here is the first set. More coming soon...

  1. NLP++ tutorial videos: http://tutorials.visualtext.org
  2. Analyzers used in the videos: https://github.com/VisualText/nlp-tutorials
  3. VisualText tutorial videos: http://vttutorials.visualtext.org

Glitter Chat

Join the chat at https://gitter.im/NLPplusplus/NLP-Engine Join us on Glitter chat!

About

The NLP engine is the engine that runs text analyzers writtein in NLP++. The nlp-engine runs on Linux, Windows, and MacOS. It can be called in two different ways:

  1. Calling the nlp.exe command line executable (this is what the VSCode NLP++ Language Extension does)
  2. Calling from within C++ or another language that can call c++ functions

Command Line

You can get help on nlp.exe:

  [command arg: --help]

  usage: nlp [--version] [--help]
             [-INTERP][-COMPILED] INTERP is the default
             [-ANA analyzer] name or path to NLP++ analyzer folder
             [-IN infile] input text file path
             [-OUT outdir] output directory
             [-WORK workdir] working directory
             [-DEV][-SILENT] -DEV generates logs, -SILENT (default) does not
             [infile [outfile]] when no /IN or -OUT specified

  Directories in the nlp.exe files:
     data        nlp engine bootstrap grammar
     analyzers   default location for nlp++ analyzer folders
     visualtext  common files for the VisualText IDE

Switches

SwitchFunction
-INTERP / -COMPILEDRuns NLP++ code interpreted or compiled
-ANAname of the analyzer or path to the analyzer folder
-INInput file
-OUTOutput directory
-WORKWorking director where the library and executable files are
-DEV / -SILENT-DEV generates logs, -SILENT (default) does not
[infile [outfile]]when no -IN or -OUT specified

Calling NLP++ Analyzers from C++

There is a test directory in the repository that builds a test.exe that calls analyzers using c++ code.

Test directory

The test directory contains a call to the nlp engine using buffers.

Compiling the NLP-ENGINE

The nlp engine compiles and runs on Linux, Windows, and MacOS. The easist way to compile them is using VSCode using the C++, CMake, and CMake Tools extensions.

Linux

To compile the nlp-engine for Linux:

Windows 10

To compile the nlp-engine for Windows 10:

MacOS

To compile the nlp-engine for the Mac:

NLP-ENGINE Development

All the dependencies for building nlp engine from source are included in this repository. We use VCPkg to checkout and build ICU from source. We use CMake to build the nlp engine making sure the ICU library is "found" through VCPkg.

NOTE**

If on WSL and trying to use VSCode to debug, run the following to help with a possible cmake error when trying to build using the C++ and CMake extensions for VsCode:

sudo apt-get install libicu-dev

Also, on Linux or Mac, you may need to run:

sudo apt-get install autoconf-archive

Linux / MacOS

git clone --recurse-submodules https://github.com/visualtext/nlp-engine
cd nlp-engine

Fetch the third-party libraries (via vcpkg)

cd vcpkg
./bootstrap-vcpkg.sh
./vcpkg install

Configure Cmake for out of source build

cd ..
cmake -DCMAKE_BUILD_TYPE=Debug -B build -S . -DCMAKE_TOOLCHAIN_FILE='./vcpkg/scripts/buildsystems/vcpkg.cmake'

Build

cmake --build build/ --target all

Once the build succeedes, the nlp executable should be in the bin folder along with test-nlp.exe.

Windows

Clone the repository

git clone --recurse-submodules https://github.com/visualtext/nlp-engine
cd nlp-engine

Make sure VCPkg builds 64 bit binaries (Note: VCPkg is expected to make this the default by Sept 2023 after which this step won't be necessary)

set VCPKG_DEFAULT_TRIPLET=x64-windows

Fetch the third-party libraries (via vcpkg)

cd vcpkg
bootstrap-vcpkg.bat
vcpkg install

Configure Cmake for out of source build

cd ..
cmake -G "Visual Studio 16 2019" -A x64 -B build -S . -DCMAKE_TOOLCHAIN_FILE=./vcpkg/scripts/buildsystems/vcpkg.cmake

Build

cmake --build build --config Debug