{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9703776","patent":{"patent_number":"US-9703776","title":"Automatic training of a syntactic and semantic parser using a genetic algorithm","assignee":null,"inventors":[],"filing_date":"2016-10-17T00:00:00.000Z","publication_date":"2017-07-11T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06F","G06F"],"num_claims":20,"abstract":"Disclosed are methods, systems, and computer-readable mediums for automatic training of a syntactic and semantic parser using a genetic algorithm. An initial population is created, where the initial population comprises a vector of parameters for elements of syntactic and semantic descriptions of a source sentence. A natural language compiler (NLC) system is used to translate the sentence from the source language into a target language based on the syntactic and semantic descriptions of the source sentence. A vector of quality ratings is generated where each quality rating in the vector of quality ratings is of a corresponding parameter in the vector of parameters. Quality ratings are evaluated according to specific criterion, which comprise parameters such as a BLEU score and a number of emergency sentences. A number of parameters in the vector of parameters are replaced with adjusted parameters."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Automatic training of a syntactic and semantic parser using a genetic algorithm","description":"Disclosed are methods, systems, and computer-readable mediums for automatic training of a syntactic and semantic parser using a genetic algorithm. An initial population is created, where the initial p","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9703776","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9703776","citation_suggestion":"Patentable. \"Automatic training of a syntactic and semantic parser using a genetic algorithm\" (US-9703776). https://patentable.app/patents/US-9703776","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9703776","json":"https://patentable.app/api/llm-context/US-9703776","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T06:36:25.472Z"}