https://github.com/touhi99/statistical_dependency_parsing

SDP Lab Project - Arc-Eager transition-based dependency parsing with Averaged perceptron and extended features
https://github.com/touhi99/statistical_dependency_parsing

averaged-perceptron conll-2003 dependency-parsing parse-trees parsing perceptron transition

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SDP Lab Project - Arc-Eager transition-based dependency parsing with Averaged perceptron and extended features

• Host: GitHub
• URL: https://github.com/touhi99/statistical_dependency_parsing
• Owner: touhi99
• Created: 2018-07-26T10:54:23.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-01-20T22:29:32.000Z (almost 6 years ago)
• Last Synced: 2023-11-26T21:28:18.876Z (12 months ago)
• Topics: averaged-perceptron, conll-2003, dependency-parsing, parse-trees, parsing, perceptron, transition
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Transition-based (Arc Eager) Dependency Parsing

### Author: Touhidul Alam

#### Usage:

```

python3 parser.py [train/dev/test] [en/de] file_path_location

```

Example:

```

python3 parser.py train en /mount/studenten/dependency-parsing/data/english/train/wsj_train.only-projective.conll06 

```

### Dependencies:

* Numpy

* pickle

### Components

* parser.py

	* State - class initialize initial stack, buffer, arcs, left-dependency and right-dependency

	* Instance - class saves the transition label with its corresponding features

	* Parser - class does oracle parsing during training and predicting and making a parser

* reader.py

	* Corpus - class to read sentences from dataset and build them into sentence

	* Sentence - holds the datasets content

* model.py

	* FeatureMapper - takes the unique feature and add it to the feature dictionary. Feature contains baseline feature, and extended features from Nivre (2011)

	* Model - saves the FeatureMapper and weights, implemented with Averaged perceptron

### Output File

```

pred_en.conll06 - English

pred_de.conll06 - German

```