dunglason6789p Goto Github PK

nnvlp

NNVLP - A Neural Network-Based Vietnamese Language Processing Toolkit

nts_miscellaneous

pagedraw

a UI builder for React web apps

paraphrase-identification-vietnamese-document

path2vec

Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings

pdf

This is web application, micro-stackoverflow, built with Spring MVC 5, Hibernate 5, AOP and Spring Security etc . Unregistered user can search for questions and look into details including answer however registered member can post questions and answers.

pdf_manipulation_java

piggymetrics

Microservice Architecture with Spring Boot, Spring Cloud and Docker

pizzza-angular

plsa

Probabilistic Latent Semantic Analysis implemented in Java for finding word similarity in documents

pos_tag

Vietnamese POS Tagging

pretrain-embedding-hsd

Pre-trained Embedding for VLSP2019-HSD Task

python-vncorenlp

A Python wrapper for VnCoreNLP using a bidirectional communication channel.

pyvi

Python Vietnamese Core NLP Toolkit

qa_vn

Question Answering on Vietnamese Dataset

qazalo

quora-duplicate-questions

Kaggle | Quora Question Pairs❓🥉

quora_question_pairs_nlp_kaggle

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

rdrpostagger

R package for Ripple Down Rules-based Part-Of-Speech Tagging (RDRPOS). On more than 45 languages.

rdrpostagger-1

A fast and accurate POS and morphological tagging toolkit (EACL 2014)

rdrsegmenter

A Fast and Accurate Vietnamese Word Segmenter (LREC 2018)

read_big_json

relevance-ranking-using-latent-semantic-indexing--from-scratch-

Latent Semantic Analysis Introduction: An information retrieval technique patented in 1988. In the context of its application to information retrieval, it is sometimes called Latent Semantic Indexing (LSI). LSI allows a search engine to determine what a page is about outside of specifically matching search query text. It looks at “Themes” instead of “Keywords”. Linear Algebra techniques used in the project: Singular Value Decomposition, Cosine Similarity, Matrix properties. Dataset: “Sci.space” news group from 20 news groups dataset, available in the Scikit-Learn library. It contains 400 news articles related to space. SVD (Singular Value Decomposition): SVD is a matrix decomposition algorithm, it decomposes a matrix into 3 matrices which are a set to transformations. Decomposition leads to an orthogonal matrix U, Diagonal matrix S and a Diagonal Matrix V. This is the best possible transformation of a matrix. In this decomposition method we are looking for a set of orthonormal basis in the row space that when multiplied by the original matrix goes to an orthonormal basis in the column space.Av1 = σ1u1  Av2 = σ2u2 

resources

Vietnamese NLP Data

restore-tonemark

Vietnamese diacritics restoration

salemanagement

scala-nameof

Get the name of an variable, function, class member, or type as a string--at compile-time!

scalable-software-architecture

Collection of tech talks, papers and web links on Distributed Systems, Scalability and System Design.

scraper

Scraper

search-engine

A math-aware search engine.