8 results about "Proofreading" patented technology

The invention relates to the technical field of translation, and discloses a translation calibration method based on big data, which can accurately identify semantic deviation in a multi-meaning scene, for example, accurately judge that'cell 'should be translated into'cell' instead of'house 'in a biological text. The system can detect the language field mismatching problem of spoken expression in the official file, and provides term correction suggestions conforming to industry standards. Aiming at technical terms with multiple meanings in legal clauses, the calibration process can be combined with context window analysis to select an optimal translation scheme, the omission ratio of manual review is remarkably reduced, continuous optimization and cross-language knowledge sharing of a translation calibration model are realized, and the accuracy of translation calibration is improved. The problems that a traditional system is lagged in updating and low-resource language performance is insufficient are solved.

The invention relates to the technical field of electric digital data processing, and discloses a semantic depth proofreading and man-machine rechecking method and system based on a large model and knowledge graph traceability, and the method comprises the steps: constructing a knowledge field vector index composed of authoritative facts; calculating the vector of the fact assertion to be corrected and the gravitational gradient thereof in the knowledge field; according to the method, a preposed risk quantification mechanism is established, so that a traditional post-verification mode is avoided, computing resources can be dynamically allocated to high-risk assertion, hidden errors which do not accord with a fact basis are recognized in a semantic level, and the risk classification is carried out according to the gradient, so that the subsequent deep analysis process is differentially started or skipped. And the proofreading efficiency and quality are improved.

This invention discloses a deep learning-based intelligent text proofreading method and system, belonging to the field of intelligent proofreading technology. The method includes acquiring a preprocessed text sequence and spatial distribution coordinates, extracting semantic vectors and knowledge vectors, constructing a spatial topology graph to extract spatial vectors, generating a feature matrix, using a supervised contrastive learning strategy to obtain optimized error detection and correction parameters, loading the error detection and correction parameters into the sequence error detection model and semantic correction model respectively, outputting the error detection distribution and correction distribution, comparing entity features with a global memory database to output a consistency score, and weightedly fusing the error detection distribution, correction distribution, and consistency score to determine the proofreading result. This invention integrates spatial layout awareness, domain knowledge graph enhancement, and cross-paragraph global consistency verification into a dual-path architecture, solving problems such as typesetting interference, lack of professional background, and logical conflicts, achieving accurate differentiation of confusing characters, and ensuring the logical rigor of document content.

The invention discloses a Bsm DNA polymerase mutant with enhanced tolerance and application of the Bsm DNA polymerase mutant, and belongs to the technical field of biology. On the basis of completely retaining 5 '-> 3' polymerase activity and 3 '-> 5' exonuclease proofreading activity, the mutant obviously improves the tolerance to inhibitors, wide pH range, high salt concentration and repeated freeze thawing. The mutant can directly perform high-efficiency and high-fidelity amplification on target nucleic acid in complex samples such as whole blood, soil and excrement containing various inhibitors, a nucleic acid purification step in advance is not needed, and the operation process is greatly simplified. The invention provides a core enzymology tool for pathogen rapid molecular diagnosis, on-site instant detection and difficult template cloning in a high inhibitor environment, and has important application value.

The present application relates to chimeric DNA polymerases and methods of making the same. The chimeric DNA polymerases comprise 2-8, e.g., 3, domains or segments derived from different polymerases. The chimeric DNA polymerases of the present application have improved properties, e.g., superior extension properties, superior DNA binding properties, superior proofreading activity, superior fidelity, faster amplification speed, superior tolerance to inhibitors, superior long fragment amplification ability, etc.

The invention discloses a constructive formalized verification system of a ribosome circulation mechanism, which belongs to the field of molecular biology calculation verification, deduces and translates a full-cycle biological entity from uniformity through symmetric breaking and the like, and encodes the stages of translation starting, extension proofreading, termination, circulation and the like through a state radiation sequence. And realizing complete-cycle unified verification by combining odd complement operators and the like, and mapping into an electronic circuit. Corresponding between a biological mechanism and a number theory is established through the Langlands theory, and accuracy is guaranteed; gTP consumption is optimized through constructive energy accounting, and energy efficiency is achieved. The system can be applied to the fields of pharmaceutical synthesis, mRNA vaccine design and the like, provides a high-fidelity optimization scheme, and is matched with a hardware accelerator to improve verification efficiency. The system solves the problems that the prior art is lack of a formalized framework and depends on empirical parameters, has constructive completeness, hardware realizability and commercial expandability, can shorten supervision and approval time, and provides reliable theoretical and practical support for related fields.

The application relates to the technical field of electric digital data processing, and discloses a semantic depth proofreading and man-machine rechecking method and system based on a large model and a knowledge graph traceability, which comprises the following steps: constructing a knowledge field vector index composed of authoritative facts; calculating the vector of a fact assertion to be proofread and the gravitational gradient of the fact assertion in the knowledge field; and performing risk grading according to the gradient, so that the subsequent depth analysis process is started or skipped in a differentiated manner. Through the establishment of a prepositive risk quantification mechanism, the application avoids the traditional post-validation mode, can dynamically allocate computing resources to high-risk assertions, and can identify implicit errors inconsistent with the fact basis at the semantic level in advance, thereby improving the proofreading efficiency and quality.