PATENT CLAIM ANALYSIS

Application Number: 15866420
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["704", "009000"]

Abstract:
Technology is disclosed for creating and tuning classifiers for language dialects and for generating dialect-specific language modules. A computing device can receive an initial training data set as a current training data set. The selection process for the initial training data set can be achieved by receiving one or more initial content items, establishing dialect parameters of each of the initial content items, and sorting each of the initial content items into one or more dialect groups based on the established dialect parameters. The computing device can generate, based on the initial training data set, a dialect classifier configured to detect language dialects of content items to be classified. The computing device can augment the current training data set with additional training data by applying the dialect classifier to candidate content items. The computing device can then update the dialect classifier based on the augmented current training data set.

Claim (Index 3):
The method of  claim 1 , further comprising:\n evaluating the current training data set using the dialect classifier; identifying incorrectly classified training data items within the current training data set; updating the current training data set by removing the incorrectly classified training data items from the current training data set; and updating the dialect classifier based on the updated current training data set.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 86.0
- Lexical Diversity: 2.40909
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15275235', '14621921', '13552401', '13557983', '14559540']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2745235330015365
- 35 USC 102 Novelty (BERT): 0.5436093325291842
- Combined Prediction Score: 0.3014321129543013
- Mean Citation Score: 267.723898
- Max Citation Score: 399.25812
- Similarity Product: 378.41100798511513

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

Dataset: test