PATENT CLAIM ANALYSIS

Application Number: 15868970
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["704", "009000"]

Abstract:
Technology is disclosed for building correction models that correct natural language snippets. Correction models can include rules comprising pairs of word sequences identified from viable correction snippet pairs, where a first sequence of words in the pair should be replaced with a second sequence of words in the pair. Viable correction snippet pairs can be identified from among pairs of language snippets, such as a post to a social media website and a subsequent update to that post. Viable corrections can be the snippet pairs that both have no more unaligned words than a word alignment threshold and have no aligned word pair with a character edit difference above an edit distance threshold. In some implementations, word alignments can be found by aligning all the characters between a pair of language snippets, and identifying aligned words as those that have at least one aligned letter in common.

Claim (Index 9):
The method of  claim 1 , wherein extracting rules from the viable correction pair comprises:\n obtaining a word alignment for the snippet pair of the viable correction pair; extracting a rule word sequence pair from the word alignment; and assigning one or more scores to the rule word sequence pair.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 1.83529
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14788679', '15672690', '14878794', '14861747', '14804802']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2347637764417368
- 35 USC 102 Novelty (BERT): 0.5395086699324018
- Combined Prediction Score: 0.2652382657908034
- Mean Citation Score: 198.095746
- Max Citation Score: 366.4286
- Similarity Product: 297.9796490383625

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