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 14):
The method of  claim 1 , wherein the natural language correction model is configured to be used as part of a machine translation of a provided language snippet by:\n creating an intermediate version of the provided language snippet by:\n matching a word sequence in the provided language snippet to a word sequence corresponding to a first word sequence of a rule in the correction model; and \n replacing, in the intermediate version, the matched word sequence in the provided language snippet with a second word sequence of the rule in the correction model; \n performing a machine translation on the intermediate version; and providing results of the machine translation on the intermediate version.

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): 0.234633034175601
- 35 USC 102 Novelty (BERT): 0.5394175119083816
- Combined Prediction Score: 0.2651114819488791
- Mean Citation Score: 198.095746
- Max Citation Score: 366.4286
- Similarity Product: 305.8761852635264

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