PATENT CLAIM ANALYSIS

Application Number: 15925888
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["704", "231000"]

Abstract:
Correcting typographical errors in electronic text may include converting a text message containing at least one phonemic spelling of a word into speech by running a text-to-speech application programming interface (API) with the text message as input. The converted speech may be input to a speech-to-text API and the speech-to-text API executed to convert the speech to text. A text file comprising the text may be generated and/or output. The text file automatically contains a corrected version of the phonemic spelling of the word in text message.

Claim (Index 7):
The method of  claim 1 , further comprising training a machine learning model with a training data set comprising at least input strings in international phonemic alphabet and mapped locations, the machine learning model trained to classify geographic locations given an input string comprising at least a phonetically spelled word.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 1.75472
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11007626', '15247656', '09721373', '12872291', '10784173']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2395751048930157
- 35 USC 102 Novelty (BERT): 0.5004634311803887
- Combined Prediction Score: 0.2656639375217531
- Mean Citation Score: 216.046448
- Max Citation Score: 225.69397
- Similarity Product: 154.34098063949762

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test