PATENT CLAIM ANALYSIS

Application Number: 16397437
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["704", "002000"]

Abstract:
Adaptive pseudo translation provides dynamic adjustment of a generated pseudo translation based on one or more rules and one or more dynamically detected parameters. Data is received and an adaptive pseudo translation is initiated. A string is extracted from the received data and an encoding and a language of the string are detected. A target language is proactively selected based on a parameter. A buffer size is dynamically determined based on the detected encoding, detected language, and target language. The extracted string is dynamically transformed into pseudo translated text based on the buffer size. The dynamically generated pseudo translation provides a highly accurate mock translation to one or more target languages.

Claim (Index 14):
A method for adaptively generating a pseudo translation comprising:\n responsive to the selection of a first target language, dynamically determining a first buffer size based on a detected origin language, a detected encoding, and the selected first target language; generating one or more first buffer characters based on the determined first buffer size; and automatically transforming an extracted string of received data into a first pseudo translated text comprising:\n combining the one or more first buffer characters and the extracted string; and \n encapsulating the combined first buffer characters and the extracted string within a first placeholder character set.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.26415
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15423698', '14812606', '10989014', '11282793', '11409146']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2522231246778452
- 35 USC 102 Novelty (BERT): 0.5579602902718439
- Combined Prediction Score: 0.2827968412372451
- Mean Citation Score: 230.91906200000005
- Max Citation Score: 415.29556
- Similarity Product: 357.95867773159506

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test