This article explores the potential benefits and challenges associated with relying solely on automated grammar checkers versus the inclusion of human expertise for machine documentation. Machine learning algorithms can analyze vast amounts of data and automatically extract relevant information, enhancing the quality and accuracy of technical documentation. Additionally, machine learning can also assist in the translation of technical documentation into multiple languages. The article also discusses the impact of machine learning on technical documentation beyond content creation and management.
