Be the first to like this
David Woolls (CFL Software, UK)
The growth in computing power has made it possible to gain insights into very large quantities of text by both statistical and neural methodologies and linguistics, the way languages work for humans, is not a major part of that process. However, decisions on FTO, Invalidity and competition are still made by humans, which means reading the patents identified by the machines. Because humans are endlessly creative even in an apparently constrained world of patent writing, and different human languages have different ways of expressing similar concepts, identifying ranges in alloys, compounds, formulations etc. is a complex challenge for computer programs. This paper explores how the same computer hardware advances which have enabled machine learning can be exploited to produce overall solutions to the problems that natural languages present to humans and computers alike. It will identify those areas in which computer programs can outmatch human capability in identifying and assessing complex interactions of molecules, elements and the like and comparing them with potential or actual specifications, a capability which allows humans much more time to focus on the interpretation rather than the finding. And it will illustrate the application of such programs to both the main European languages and Chinese, Japanese and Korean.