Ever wanted to make a book easier to read? Well with lazy reader, now you can!
A quick start guide, troubleshooting tips, and a demo of the working program can be found here. Full start guide will be below as well as images of troubleshooting.
Welcome to the LazyReader. Here is a guideline to help you get started with it.
Step 1: Clone the github repository
Type the following command into your git terminal:
$ git clone https://github.com/Johnnydaboy/LazyReader.git
Step 2: Enter the LazyReader repository
Step 3: Open IDE of choice at the LazyReader repository
*note wait until the project is fully detected by the IDE
Step 4: run main method in LazyReader.java and have fun! (Running main examples below)
Problem 1: package com.company not detected
a) restart the IDE
b) delete and re-clone the repository
Problem 2: LazyReader won't start
a) make sure your set the source file correctly and make sure you opened the project on
/LazyReader (not one directory above or below)
b) JDK 11 or above must be installed for the extensions to work
c) DifficultyClassifier or other classes not detected
-) Wait a few moments until the IDE project finder can detect everything
Problem 3: Packages not detected
a) add the the dependencies required for this project to the referenced library
-) The jars for this project will be in a folder called /jars in /LazyReader
- ) Add all the jars located in apache-opennlp-1.9.3/lib/
- ) Add edu.mit.jwi_2.4.0_jdk.jar
- ) Add evo-inflector-1.2.2.jar
b) restart your IDE after adding the dependencies if it still doesn't work after adding
*Dependency Management for VS code can be found in the gif below as well as in our quick start guide
The JAVA DEPENDENCIES view allows you to manage your dependencies. More details can be found here.
The workspace contains three folders by default, where:
src: the folder to maintain sources (as well as the WordNet dictionary)jars: the folder to maintain dependencieslib: the folder to maintain various binary and text files
This LazyReader program classifies words in the English vocabulary based on the frequency of the word used in everyday life based on the NGLS database. It features several libraries: MIT JWI, OpenNLP, WordNet, and Apache to retrieve and replace synonyms of nouns based on the input level of "difficulty" by the user in the given sentence. This difficulty replacement tool can be used to both replace words to make it simpler to understand or can be used to replace words to add variety to word choice within a sentence.
When you run main you will be prompted with two options:
Do you want to set your own difficulty range? (y/n)
Choosing y will allow you to pick 2 numbers (min and max) to set as the difficulty for your sentence translation
Choosing n will create a test which based on your score will generate a range to set as the difficulty for your sentence translation
You can change the text which you want to translate in the file text.txt which is located in LazyReader/src/com/company/text.txt The translated sentence will then be outputted to the console.
