This program do translate english words to portuguese

Last update: Oct 10, 2022

Related tags

Overview

Python-Dictionary

This program is used to translate english words to portuguese.

Web-Scraping

This program use BeautifulSoap to make web scraping, so user enter a english word and program search on google the translation

Tech

Bill was made just in python, but it use some libs, as:

[BeautifulSoap] - Web-scraping.
[Requests] - Search on web

Installation

Bill Bot requires Python v3.7+ to run.

Install the dependencies and devDependencies and start the program.

pip install BeautifulSoap
pip install Requests

Owner

João Assalim

Studying every time to always be evolving.

GitHub Repository

A list of NLP(Natural Language Processing) tutorials built on Tensorflow 2.0.

335 Jan 04, 2023

EdiTTS: Score-based Editing for Controllable Text-to-Speech

Official implementation of EdiTTS: Score-based Editing for Controllable Text-to-Speech

99 Jan 02, 2023

[EMNLP 2021] LM-Critic: Language Models for Unsupervised Grammatical Error Correction

LM-Critic: Language Models for Unsupervised Grammatical Error Correction This repo provides the source code & data of our paper: LM-Critic: Language M

98 Nov 24, 2022

PyTorch Implementation of "Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging" (Findings of ACL 2022)

Feature_CRF_AE Feature_CRF_AE provides a implementation of Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging

6 Apr 29, 2022

An easy-to-use framework for BERT models, with trainers, various NLP tasks and detailed annonations

FantasyBert English | 中文 Introduction An easy-to-use framework for BERT models, with trainers, various NLP tasks and detailed annonations. You can imp

137 Oct 26, 2022

A demo for end-to-end English and Chinese text spotting using ABCNet.

ABCNet_Chinese A demo for end-to-end English and Chinese text spotting using ABCNet. This is an old model that was trained a long ago, which serves as

45 Oct 04, 2022

Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration This repo contains only model Implementation of Zero-Shot Text-to-Speech for Text

33 Sep 22, 2022

Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.

Accurately generate all possible forms of an English word Word forms can accurately generate all possible forms of an English word. It can conjugate v

570 Dec 31, 2022

Modified GPT using average pooling to reduce the softmax attention memory constraints.

NLP-GPT-Upsampling This repository contains an implementation of Open AI's GPT Model. In particular, this implementation takes inspiration from the Ny

1 Dec 03, 2021

Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio. Here I have used Google-text-to-speech library popularly known as gTTS library to convert text file to .mp3 file. Hope you like my project!

Text to speech (using Python) Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and co

19 Jun 30, 2022

Code to reproduce the results of the paper 'Towards Realistic Few-Shot Relation Extraction' (EMNLP 2021)

Realistic Few-Shot Relation Extraction This repository contains code to reproduce the results in the paper "Towards Realistic Few-Shot Relation Extrac

8 Nov 09, 2022

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language This repository contains UA-GEC data and an accompanying Python lib

227 Jan 02, 2023

A PyTorch Implementation of End-to-End Models for Speech-to-Text

speech Speech is an open-source package to build end-to-end models for automatic speech recognition. Sequence-to-sequence models with attention, Conne

647 Dec 25, 2022

One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning.

One Stop Anomaly Shop (OSAS) Quick start guide Step 1: Get/build the docker image Option 1: Use precompiled image (might not reflect latest changes):

148 Dec 26, 2022