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Classic Microsoft Word 1.1a From Three Decades Ago Runs Natively on Windows 11

Classic Microsoft Word 1.1a From Three Decades Ago Runs Natively on Windows 11

Windows 11‘s backward compatibility can sometimes be amazing. This time, Microsoft’s old word processor is working natively on modern computers without the need for emulators. An independent developer known as JMarshall23 on GitHub has managed to port the classic Microsoft Word for Windows 1.1a to 64-bit architecture. This change allows the program to run directly on Windows 11.

The project uses the application’s original source code and tools. To make it work with modern systems, the developer replaced the 16-bit assembly code, segmented memory management and limitations of the Win16 environment with equivalent code adapted to current standards. The project also includes extra tools designed to help study classic software.

Microsoft Word 1.1a Is Now Running Natively on Windows 11

The work is based on source code released in 2014, when the Computer History Museum made the application’s official source code public. The package is around 7 MB in size and contains 1,021 files across 33 folders, including C code, x86 assembly and documentation.

When Word 1.1a originally launched in the early 1990s, it was a major step forward thanks to WYSIWYG editing. It also supported inserting images and tables. The software was also very efficient, as it could run on processors operating at single-digit megahertz speeds with only 1 MB of RAM.

For now, the project’s repository does not provide an executable file that is ready to use. Anyone interested in trying the classic word processor must compile it manually. This requires Visual Studio 2022 with the C++ development package, the Windows 10 or Windows 11 SDK, CMake 3.25 or newer, and PowerShell.

The distribution of the ported code is also covered by the original Computer History Museum license, which limits its use to non-commercial purposes only. This adaptation is an interesting technical project that makes it possible to study the origins of productivity software on modern platforms.

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