PATENT CLAIM ANALYSIS

Application Number: 16395001
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["704", "002000"]

Abstract:
Computer-implemented systems and methods for extracting information during a human-to-human mono-lingual or multi-lingual dialog between two speakers are disclosed. Information from either the recognized speech (or the translation thereof) by the second speaker and/or the recognized speech by the first speaker (or the translation thereof) is extracted. The extracted information is then entered into an electronic form stored in a data store.

Claim (Index 1):
A system, comprising:\n a speaker configured to receive a first speech input in a first language from a first speaker and a second speech input in a second language from a second speaker, the first speech input and the second speech input being part of a dialogue between the first speaker and the second speaker; a display configured to display a form having a plurality of fields; a processor; and a memory storing instructions, when executed by the processor, cause the processor to:\n determine a first recognized speech result based on the first speech input; \n determine a second recognized speech result based on the second speech input; \n extract information from the second recognized speech result; \n identify one of the plurality of fields based on the first recognized speech result in the first language; \n translate at least a portion of the information extracted from the second recognized speech result from the second language to the first language; \n insert the translated information in the first language into the identified field; and \n cause the display to present the form in the first language.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.4375
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15338750', '14985300', '13760535', '14546097', '13855117']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2698155044241849
- 35 USC 102 Novelty (BERT): 0.4963804691397729
- Combined Prediction Score: 0.2924720008957437
- Mean Citation Score: 211.68367
- Max Citation Score: 272.4849
- Similarity Product: 246.06023053575748

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