https://github.com/danieldk/dpar

Neural network transition-based dependency parser (in Rust)
https://github.com/danieldk/dpar

dependency-parser embeddings neural-networks parsing rust transition

Last synced: about 2 months ago
JSON representation

Neural network transition-based dependency parser (in Rust)

• Host: GitHub
• URL: https://github.com/danieldk/dpar
• Owner: danieldk
• License: apache-2.0
• Created: 2015-03-18T10:17:41.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2020-09-14T12:16:26.000Z (over 4 years ago)
• Last Synced: 2024-05-29T04:48:18.503Z (8 months ago)
• Topics: dependency-parser, embeddings, neural-networks, parsing, rust, transition
• Language: Rust
• Homepage:
• Size: 540 KB
• Stars: 41
• Watchers: 6
• Forks: 3
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# dpar

## Introduction

dpar is a neural network transition-based dependency parser. The

original Go version can be found in the `oldgo` branch.

## Dependencies

### Build-time

* A modern Rust [toolchain](https://rustup.rs).

* Many Rust crates.

### Run-time

* Tensorflow

## Building dpar

To compile and install dpar, run the following in the main project directory:

~~~

cargo install --path dpar-utils

~~~

To do a debug build and run unit tests, run `cargo build` in the main project

directory. To generate API documentation, run `cargo doc`.