Using context-free grammar formalism to parse English sentences to determine their structure to help computer to better understand the meaning of the sentence.

Overview

Sentance Parser

Executing the Program

  1. Make sure Python 3.6+ is installed.
  2. Install requirements
    $ pip install requirements.txt
  1. Run the program:
    $ python parser.py

And enter the sentence. Or,

    $ python parser.py <sentance folder path>/<file.txt>

Example :

    $ python parser.py sentences/1.txt
  1. Output after parsing

    Parsed sentance along with the derivation tree
    Sample output can be accessed in samples section.


Feel free to follow along the code provided along with mentioned comments for
better understanding of the project, if any issues feel free to reach me out.

Contributing

Contributions are welcome!
Please feel free to submit a Pull Request.

Owner
Vaibhaw
A passionate thinker, techno freak, comic lover, a curious computer engineering student. Machine Learning, Artificial Intelligence, Linux, Web Development.
Vaibhaw
Train and use generative text models in a few lines of code.

blather Train and use generative text models in a few lines of code. To see blather in action check out the colab notebook! Installation Use the packa

Dan Carroll 16 Nov 07, 2022
a test times augmentation toolkit based on paddle2.0.

Patta Image Test Time Augmentation with Paddle2.0! Input | # input batch of images / / /|\ \ \ # apply

AgentMaker 110 Dec 03, 2022
DeepPavlov Tutorials

DeepPavlov tutorials DeepPavlov: Sentence Classification with Word Embeddings DeepPavlov: Transfer Learning with BERT. Classification, Tagging, QA, Ze

Neural Networks and Deep Learning lab, MIPT 28 Sep 13, 2022
GSoC'2021 | TensorFlow implementation of Wav2Vec2

GSoC'2021 | TensorFlow implementation of Wav2Vec2

Vasudev Gupta 73 Nov 28, 2022
Paddlespeech Streaming ASR GUI

Paddlespeech-Streaming-ASR-GUI Introduction A paddlespeech Streaming ASR GUI. Us

Niek Zhen 3 Jan 05, 2022
XLNet: Generalized Autoregressive Pretraining for Language Understanding

Introduction XLNet is a new unsupervised language representation learning method based on a novel generalized permutation language modeling objective.

Zihang Dai 6k Jan 07, 2023
Sequence-to-Sequence learning using PyTorch

Seq2Seq in PyTorch This is a complete suite for training sequence-to-sequence models in PyTorch. It consists of several models and code to both train

Elad Hoffer 514 Nov 17, 2022
Various capabilities for static malware analysis.

Malchive The malchive serves as a compendium for a variety of capabilities mainly pertaining to malware analysis, such as scripts supporting day to da

MITRE Cybersecurity 64 Nov 22, 2022
[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers

Instance-level Image Retrieval using Reranking Transformers Fuwen Tan, Jiangbo Yuan, Vicente Ordonez, ICCV 2021. Abstract Instance-level image retriev

UVA Computer Vision 86 Dec 28, 2022
PortaSpeech - PyTorch Implementation

PortaSpeech - PyTorch Implementation PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech. Model Size Module Nor

Keon Lee 276 Dec 26, 2022
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language mod

20.5k Jan 08, 2023
A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis

WaveGlow A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis Quick Start: Install requirements: pip install

Yuchao Zhang 204 Jul 14, 2022
An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

Extracting OpenAI CLIP (Global/Grid) Features from Image and Text This repo aims at providing an easy to use and efficient code for extracting image &

Jianjie(JJ) Luo 13 Jan 06, 2023
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform tasks on automatic speech recogniti

Soohwan Kim 26 Dec 14, 2022
Yet another Python binding for fastText

pyfasttext Warning! pyfasttext is no longer maintained: use the official Python binding from the fastText repository: https://github.com/facebookresea

Vincent Rasneur 230 Nov 16, 2022
Natural Language Processing Specialization

Natural Language Processing Specialization In this folder, Natural Language Processing Specialization projects and notes can be found. WHAT I LEARNED

Kaan BOKE 3 Oct 06, 2022
STonKGs is a Sophisticated Transformer that can be jointly trained on biomedical text and knowledge graphs

STonKGs STonKGs is a Sophisticated Transformer that can be jointly trained on biomedical text and knowledge graphs. This multimodal Transformer combin

STonKGs 27 Aug 11, 2022
Ελληνικά νέα (Python script) / Greek News Feed (Python script)

Ελληνικά νέα (Python script) / Greek News Feed (Python script) Ελληνικά English Το 2017 είχα υλοποιήσει ένα Python script για να εμφανίζει τα τωρινά ν

Loren Kociko 1 Jun 14, 2022
Code for the Python code smells video on the ArjanCodes channel.

7 Python code smells This repository contains the code for the Python code smells video on the ArjanCodes channel (watch the video here). The example

55 Dec 29, 2022
A complete NLP guideline for enthusiasts

NLP-NINJA A complete guide for Natural Language Processing in Python Table of Contents S.No. Topic Level Meaning 1 Tokenization 🤍 Beginner 2 Stemming

MAINAK CHAUDHURI 22 Dec 27, 2022