5 results about "Natural language translation" patented technology

The invention provides a sign language translation method and system based on a pre-training diffusion large language model, and belongs to the field of sign language video translation. The method comprises the following steps: preprocessing a video containing sign language actions to obtain a sign language video frame sequence, inputting the sign language video frame sequence into a visual feature extraction network to extract features, and fusing to obtain a time sequence visual fusion feature sequence; giving a text cue word of a sign language translation task, constructing an initial mask sequence for a target translation position, taking the text cue word, the time sequence visual fusion feature sequence and the initial mask sequence as guide conditions, injecting the guide conditions into a diffusion language model, iteratively denoising and predicting lexical elements of a masked position in combination with a diffusion mask mechanism, and obtaining the sign language translation task. A natural language translation sequence is obtained, and sign language translation is completed; wherein when the diffusion language model is trained, through an internal feature alignment mechanism, the guiding effect of guiding conditions on text generation is optimized, so that the accuracy, coherence and robustness of long text translation are improved, and the actual requirements of a barrier-free public service scene are better met.

A computerized method is provided for using large language models to integrate data from multiple sources including technical metadata (e.g. column and table names) with a dictionary of standard abbreviations employed in the metadata, representative data from the columns rows of the table, a business glossary of terms in the data, and representative queries used to interrogate the data, to create a non-technical or natural language description of business value of the table and its columns and data.

The application provides a sign language translation method and system based on a pre-training diffusion large language model, and belongs to the field of sign language video translation. The video containing sign language actions is preprocessed to obtain a sign language video frame sequence, which is then input into a visual feature extraction network to extract features and fuse to obtain a time sequence visual fusion feature sequence; a text prompt word of a sign language translation task is given, and an initial mask sequence is constructed for a target translation position; the text prompt word, the time sequence visual fusion feature sequence and the initial mask sequence are injected into a diffusion language model as a guide condition, and a diffusion mask mechanism is combined to iteratively denoise and predict the word units of the masked position to obtain a natural language translation sequence, thereby completing the sign language translation; during training of the diffusion language model, an internal feature alignment mechanism is used to optimize the guiding effect of the guide condition on text generation, so as to improve the accuracy, coherence and robustness of long text translation and better meet the actual needs of barrier-free public service scenarios.

Techniques for automatically generating a natural language (NL) translation of computer code are disclosed. In one embodiment, a computer-implemented method is disclosed comprising receiving, from a user, a code translation request in connection with code generated by a code generation system based on natural language (NL) input, analyzing the computer-generated code and generating a natural language (NL) translation of the computer-generated code based on the analysis, generating a graphical user interface (GUI) comprising the NL input, the NL translation of the computer-generated code and GUI control elements for receiving input from the user in connection with at least one of the NL input and the NL translation; causing the GUI to be displayed at a client device of the user, and receiving input from the user via at least one GUI control element and causing performance of at least one operation in response to the input.

The present disclosure relates to a model training method, a natural language translation method, a device, equipment and a storage medium. The present disclosure obtains a standard first sign language text corresponding to a natural language sample text and at least one non-standard second sign language text, and outputs a predicted sign language text corresponding to the natural language sample text through a translation model to be trained. According to the predicted sign language text and the first sign language text, a first loss value of the translation model is calculated, and according to the predicted sign language text and at least one second sign language text, at least one second loss value of the translation model is calculated. Since the smaller the first loss value is, the better, and the larger the second loss value is, the better, according to the first loss value and the at least one second loss value, the model parameters of the translation model can be accurately controlled, so that the trained translation model is more accurate. Thus, the trained translation model can obtain accurate sign language text when translating the natural language text to be translated.