Language detecting technology struggles with George R. R. Martin's Game of Thrones

Mail Online | 4/18/2019 | Yuan Ren For Mailonline
Micaella (Posted by) Level 3
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Game of Thrones characters and many other fantasy novels pose an issue for technology designed to decipher languages and the written word.

Quirky names, such as Daenerys and Grey Worm, don't look or resemble most names from the real world and are often not picked up by technology as they don't behave in a normal manner.

Algorithms - Names - Newspaper - Articles

The algorithms are developed and trained to detect names by studying newspaper articles.

A vastly different writing style is found in non-fiction novels and makes the detection of fictional names almost impossible.

Researchers - Ability - Natural - Language - Processing

The researchers tested the ability of four different Natural language processing (NLP) tools tools at recognising popular characters' names in 40 novels, including A Game of Thrones.

Natural language processing (NLP) tools are commonly used in many day-to-day applications such as Siri and Google.

Technology

The technology is imperfect however and fails when it is faced...
(Excerpt) Read more at: Mail Online
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