Category: Content management & strategy (Page 96 of 480)

In the early days of information technology (1950s – 1970s), computers were mostly mainframes and the information mostly structured data managed by information systems based on hierarchical and then relational databases.

With the emergence of descriptive markup languages such as SGML, XML, and JSON that add structure other forms of unstructured data or content such as text and streaming data, as well as NoSQL and graph database, linked data, and knowledge graph technologies, the distinction between structured and unstructured data or content is less relevant. Modern data lakes store structured, semi-structured, and unstructured data.

“Content technology” is a form of information technology that uses computing technology to create, retrieve, process, manage, store, share, and distribute unstructured data, such as narrative text and audio visual media, and typically incorporates or integrates with systems that manage structured data . The term emerged as early web content management systems proliferated, but includes any technology that processes some form of unstructured data, such as authoring, publishing, natural language processing, search and retrieval. 

Machine translation, sometimes referred to by the abbreviation MT (not to be confused with computer-aided translation, machine-aided human translation or interactive translation) is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language to another.

In the 80s and 90s MT software was rule-based, but in the 2000s statistical analysis and the re-emergence of neural networking and more advanced machine learning techniques have proved to be far more successful.