The PATENTSCOPE search system 2014 Retrospective Cyberworld December 2013 Sandrine Ammann Marketing & Communications Officer.

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Presentation transcript:

The PATENTSCOPE search system 2014 Retrospective Cyberworld December 2013 Sandrine Ammann Marketing & Communications Officer

Agenda Retrospective 2014 New collections User account Tapta 2015 Q&A

New collections added

EAPO

National German collection Germany and the former DDR over 2,000,000 full-text documents about 4.5 million older full-text documents were also uploaded but not indexed because the quality of the OCR is not reliable

And very soon On December 15th

PATENTSCOPE account

Signing up

Once logged-in

Search result list – translation tools

Tapta

Step 1

Step 2

Step 3

New!

32 Technical domains from the IPC [ADMN]Admin, Business, Management & Soc Sci [AERO]Aeronautics & Aerospace Engineering [AGRI]Agriculture, Fisheries & Forestry [AUDV]Audio, Audiovisual, Image & Video Tech [AUTO]Automotive & Road Vehicle Engineering [BLDG]Civil Engineering & Building Construction [CHEM]Chemical & Materials Technology [DATA]Computer Sci, Telecom & Broadcasting [ELEC]Electrical Engineering & Electronics [ENGY]Energy, Fuels & Heat Transfer Eng [ENVR]Environmental & Safety Engineering [FOOD]Foods & Food Technology [GENR]Generalities, Language, Media & Info Sci [HOME]Home Contents & Household Maintenance [HORO]Precision Mechanics, Jewelry & Horology [MANU]Manufacturing & Materials Handling Tech [MARI]Marine Engineering [MEAS]Standards, Units, Metrology & Testing [MECH]Mechanical Engineering [MEDI]Medical Technology [METL]Metallurgy [MILI]Military Technology [MINE]Mining, Oil & Gas Extraction & Minerals [NANO]Nano Technology [PACK]Packaging & Distribution of Goods [PRNT]Printing & Paper [RAIL]Railway Engineering [SCIE]Optical Engineering [SPRT]Sports, Leisure, Tourism & Hospitality [TEXT]Textile & Clothing Industries [TRAN]Transportation

How well does it work? To evaluate machine translated text, BLEU is used. BLEU (Bilingual Evaluation Understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language.machine-translatednatural language Quality = the correspondence between a machine's output and that of a human Scores are calculated for individual translated segments—generally sentences—by comparing them with a set of good quality reference translations.

Tapta: new in 2014

2015 New national/regional collections Improve current features

Monthly webinar

SEASON’S GREETINGS WITH ALL GOOD WISHES FOR THE NEXT YEAR

mulumesc