8results about How to "Improve translation" patented technology

The embodiment of the invention discloses a model training method and device, electronic equipment, a medium and a program product, which can be applied to various scenes such as cloud technology, artificial intelligence, intelligent traffic, auxiliary driving and the like. According to the embodiment of the invention, a training sample set is obtained, wherein the training sample set comprises an initial sample text corresponding to an initial scene and a newly-added sample text corresponding to a newly-added scene; translating the initial sample text through a teacher model to obtain a teacher translation result; translating the initial sample text and the newly added sample text through an initial student model to obtain a student translation result; calculating a loss value by combining the teacher translation result and the student translation result; and on the basis of the loss value, updating model parameters of the initial student model to obtain a trained student model, so that the trained student model is used for translating the to-be-translated text corresponding to the initial scene and the newly-added scene. Therefore, according to the scheme, the multi-scene adaptive capacity of the model can be enhanced while the model training efficiency is improved.

The present invention relates to a polynucleotide, containing a translated region from a start codon to a stop codon, a 5' untranslated region, and a poly A chain, in which 65% or more of nucleotides contained in the poly A chain are sugar modified nucleotides.

The invention relates to a text translation method and system based on granular ball clustering. The method comprises the following steps: regularly acquiring a text data set by adopting a crawler technology and preprocessing the text data set; performing word segmentation processing on the obtained text data by utilizing a word segmentation tool, and updating a word bank by utilizing words obtained by the word segmentation processing; on the basis of a pre-trained large language model, coding words in the word bank to obtain word vector representation of the words; according to the word vector representation of the words in the word bank, adaptively generating a synonym set of the words in the word bank by using a granular ball clustering algorithm; using synonyms of words in the training text to replace the words to generate adversarial samples of the training text; constructing a training set according to the training text and the adversarial sample, and training a text translation model based on a large language model based on the constructed training set; and translating the to-be-translated text through the trained text translation model. According to the invention, the accuracy and reliability of translation can be improved.

This invention discloses the application of cotton uORF elements G1u2 and G1u3 in improving gene translation levels, belonging to the field of genetic engineering. This invention utilizes upland cotton... WNK Gene Ghir_D04G003230 Two uORF elements, G1u2 (SEQ ID No. 2) and G1u3 (SEQ ID No. 3), were isolated from cotton. A dual-luciferase reporter assay demonstrated that both G1u2 and G1u3 elements significantly improved the translation efficiency of downstream genes. This invention is the first to discover uORF elements in cotton with a clear positive translation regulatory function, filling a gap in the research and application of positive uORF regulatory elements in cotton. Furthermore, these uORF elements can be applied to molecular design breeding for high-yield, stress-resistant, and high-quality plants, as well as precise gene editing, demonstrating strong practicality.

The application provides a system and method for automatically translating sign language and language into text, and relates to the technical field of sign language translation. The system for automatically translating sign language and language into text comprises a voice capturing module, a text capturing module, a sign language capturing module, a voice recognition module, a text recognition module, a sign language recognition module, a data processing module, a sign language translation and text translation module, a deep learning and model training module, a user interface, and a real-time interaction module. In the application, computer technology, artificial intelligence and machine learning are used to automatically convert between sign language, voice and text, which helps the deaf and hearing-impaired people to communicate with others in daily life, breaks the communication barrier, and achieves better translation effect, so that the communication between the hearing-impaired people and the hearing people is more smooth, and the hearing-impaired people no longer need to rely on limited sign language interpreters, which greatly improves the communication efficiency and convenience.

The utility model provides a kind of plastic bag production line flattening folding mechanism, belong to plastic bag production technical field.This kind of plastic bag production line flattening folding mechanism includes frame and folding adjusting mechanism, the left side of the top of frame outside is equipped with plate body, the inside of plate body is equipped with roll body, folding frame is movably connected in the bottom of frame inside, the top of folding frame inside and the inside of plate body are movably connected with folding plate by shaft rod, screw is movably connected in the bottom of folding plate inside by shaft pin, screw surface is connected with screw seat by setting folding adjusting mechanism, can be folded in guiding to outside plastic bag simultaneously, for user provides the medium of adjusting folding guide angle according to outside plastic bag size, so that user carries out folding guide adjustment operation according to the actual size of outside plastic bag, thus improve the operation convenience and adaptability of frame flattening folding.

This disclosure relates to the field of biotechnology, specifically to a 5'UTR sequence for promoting mRNA translation and its uses. This disclosure provides a 5'UTR sequence comprising the nucleotide sequence shown in any one of SEQ ID NO: 1-6 or its complementary sequence, or a nucleotide sequence having at least 80% homology with the nucleotide sequence shown in any one of SEQ ID NO: 1-6 or its complementary sequence. This disclosure provides a novel RNA molecule design scheme that, through rational optimization of the nucleic acid sequence of functional regions, achieves the advantage of optimized translation, making this RNA molecule promising for broad applications in gene therapy, vaccine development, and other fields.

This invention discloses a machine translation method, system, device, and storage medium for Dong language under low-resource conditions, belonging to the fields of natural language processing and machine translation technology. It includes: a Dong language corpus acquisition and preprocessing module, a low-resource data augmentation module, a multilingual transfer training module, a sample balancing training module, and a translation generation and result output module. This invention improves the model's learning ability and translation performance under low-resource conditions, enabling the model to leverage knowledge from other languages ​​to enhance its ability to model the semantic and syntactic features of Dong language, increasing the effective weight of Dong language samples during training, thereby improving Dong language translation performance and enhancing the usability and promotional value of the Dong language translation system in practical application scenarios.