how to count words in article?

Count the number of lines in the article and multiply by an average word count per line you can estimate this based on a small sample of text.

To manually count words in a non-English article without an online tool, use a word processor, text editor, or command-line tools. Alternatively, write a simple Python script to read the article and display the word count. These methods eliminate the need for online word counters, ensuring privacy and offline functionality.

For Microsoft Word, open the article in Microsoft Word. Click the Review tab in the menu. Look for the Word Count Statistics option. Click this option and a dialog box with word count information will appear.

Counting words in an article can be done manually or using various software tools. Here are a few methods:

Manual Count:​

1. Read and Count:
   • Read the article carefully, and manually count each word. You can use a pen and paper or use the tally function in a text editor.
2. Use Word Processing Software:
   • Open the article in a word processing software like Microsoft Word or Google Docs. These applications usually provide a word count feature.

Online Tools:​

1. Word Counter Websites:
   • Numerous online tools allow you to copy and paste your article text to get an instant word count. Examples include https://wordcounter.net/ and https://www.wordcounttool.com/.
2. Text Editors:
   • Text editors like Notepad++ or Visual Studio Code often have plugins or built-in features to count words.

Command Line (Linux/Mac):​

1. Use wc Command:
   • Open a terminal and use the wc command. For example:
     bashCopy code
     cat your_article.txt | wc -w

Programming:​

1. Python Script:
   • If you're comfortable with programming, you can use a simple Python script. For example:
     pythonCopy code
     with open('your_article.txt', 'r') as file: words = file.read().split() word_count = len(words) print(f"Word count: {word_count}")

Choose the method that best suits your preferences and needs. Online tools and word processing software are generally more user-friendly, while command-line or programming approaches provide more flexibility for automation or specific requirements.