PATENT CLAIM ANALYSIS

Application Number: 15986473
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["715", "780000"]

Abstract:
Methods, mobile electronic devices, and computer program products are provided for accepting reduced text entry of phrases, sentences or paragraphs, and probabilistically determining the most likely translation of the reduced text to a full text counterpart, and displaying same. Reduced text is accepted and parsed according to a predefined reduction pattern to produce parsed text elements. The parsed text elements are evaluated using n-gram knowledge and/or language models to identify the most likely words corresponding to the elements. The most likely corresponding words are used to evaluate the reduced text at the phrase level by evaluating the likelihood of transition from one word to the next amongst the most likely words, to compute phrase probabilities for various combinations of the most likely words. The most likely phrase(s) are output based in part on the phrase probabilities.

Claim (Index 16):
The mobile electronic device of  claim 15  wherein the phrase selector is configured to provide to the display component a predetermined number of the plurality of phrases corresponding to the phrases having the highest probabilities among the second plurality of probabilities.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 1.85185
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13544941', '11396770', '11421379', '12327177', '11278377']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3543845737077215
- 35 USC 102 Novelty (BERT): 0.4911835555665624
- Combined Prediction Score: 0.3680644718936056
- Mean Citation Score: 174.595394
- Max Citation Score: 209.13025
- Similarity Product: 138.34241038306058

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

Dataset: test