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Paper data storage refers to the use of paper as a data storage device. This includes writing, illustrating, and the use of data that can be interpreted by a machine or is the result of the functioning of a machine. A defining feature of paper data storage is the ability of humans to produce it with only simple tools and interpret it visually.
Intra-textual evaluation assess the output of a specific summarization system, while inter-textual evaluation focuses on contrastive analysis of outputs of several summarization systems. Human judgement often varies greatly in what it considers a "good" summary, so creating an automatic evaluation process is particularly difficult.
Sensors measuring the paper quality (online meters) are attached to a sensor platform that move across the web guided by the scanner beam. A typical crossing time for a sensor platform is 10–30 s (an 8 m web, 60 cm/s). The sensor platform scans across the paper web and continuously measures paper characteristics from edge to edge.
Evaluation measures for an information retrieval (IR) system assess how well an index, search engine, or database returns results from a collection of resources that satisfy a user's query. They are therefore fundamental to the success of information systems and digital platforms.
Stencil-based machines Mimeograph (also Roneo, Gestetner) Digital Duplicators (also called CopyPrinters, e.g., Riso and Gestetner) Typewriter-based copying methods Carbon paper; Blueprint typewriter ribbon; Carbonless copy paper; Photographic processes: Reflex copying process (also reflectography, reflexion copying)
A Xerox digital photocopier in 2010. A photocopier (also called copier or copy machine, and formerly Xerox machine, the generic trademark) is a machine that makes copies of documents and other visual images onto paper or plastic film quickly and cheaply.
Optical mark recognition (OMR) is the scanning of paper to detect the presence or absence of a mark in a predetermined position. [4] Optical mark recognition has evolved from several other technologies. In the early 19th century and 20th century patents were given for machines that would aid the blind. [2]
The data obtained by this form is regarded as a static representation of handwriting. Offline handwriting recognition is comparatively difficult, as different people have different handwriting styles. And, as of today, OCR engines are primarily focused on machine printed text and ICR for hand "printed" (written in capital letters) text.