711 Open source projects that are alternatives of or similar to Nltk

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

NLTK Data

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

Notes and solutions to complement the official NLTK book

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

This is a list of open-source projects at Microsoft Research NLP Group

读过的CV方向的一些论文，图像生成文字、弱监督分割等

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Let your talking do the code

Automatic Entity Recognition and Typing for Domain-Specific Corpora (KDD'15)

Geotext extracts country and city mentions from text

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Mapping a variable-length sentence to a fixed-length vector using BERT model

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

This is where I put all my work in Natural Language Processing

Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

A comprehensive reference for all topics related to Natural Language Processing

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

Mining individual characters in multiparty dialogue

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

A linux based Virtual assistant on Artificial Intelligence in C

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

🏖TagEditor - Annotation tool for spaCy

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

Abydos NLP/IR library for Python

📖 List of some awesome university courses for Machine Learning! Feel free to contribute!

A PureScript, browser-based implementation of LDA topic modeling.

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)

Forte is a flexible and powerful NLP builder FOR TExt. This is part of the CASL project: http://casl-project.ai/

A Python library for doing bibliometric and network analysis in science and health policy research

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

Русскоязычный чатбот

Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.

🧬 A JupyterLab extension for annotating data with Prodigy

Ruby port of the NLTK Punkt sentence segmentation algorithm

A pythonic wrapper for Stanford CoreNLP.

Models and Pipelines for the Spark NLP library

Botfuel SDK to build highly conversational chatbots

Knowledge Base Question Answering using memory networks

Cornell Semantic Parsing Framework

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.

A high-level machine learning and deep learning library for the PHP language.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

🍊 📄 Text Mining add-on for Orange3

Datasets, tools, and benchmarks for representation learning of code.