Abstract: Translation processing and training a post-editing model are performed. An input sequence including a plurality of segments and segment identifiers is obtained, where the plurality of segments includes a source language segment and a target language segment with a mask label, and the segment identifiers are configured to segment the source language segment and the target language segment. The mask label is located at a to-be-suggested position of the target language segment. An input vector of the input sequence is obtained by using a post-editing model based on a word vector, a position vector, and a segment vector corresponding to the input sequence. Encoding is performed by using the post-editing model based on the input vector to output an encoding result, and decoding is performed by using the post-editing model based on the encoding result to output a translation processing result corresponding to the to-be-suggested position.

Abstract: In a method for a target operation, a target virtual character is displayed in a game scene. The game scene includes a group of virtual objects and each virtual object in the group of virtual objects is available for the target virtual character to perform a target operation. A batch option is displayed when the target operation is selected by the target virtual character for a subset of the group of virtual objects and a number of the subset of the group of virtual objects is greater than or equal to a preset threshold. A batch target operation is performed based on a trigger operation on the batch option. The batch option is configured to perform the batch target operation on the group of virtual objects.

Abstract: In a requesting and discarding a virtual consumable method, a consumable option interface is displayed. A trigger operation on a first consumable option in the consumable option interface is received, and the first consumable option corresponds to a first virtual consumable. Based on the trigger operation, a first virtual object to perform an interaction operation on the first virtual consumable is controlled. The interaction operation includes at least one of a discard operation, a discard and mark operation, or a request operation.

Abstract: In an interaction processing method a virtual scene in an interaction interface is displayed. The virtual scene includes multiple groups, and each of the groups includes at least one virtual object. Based on an advance control operation on a first group, the first group advancing in the virtual scene is displayed. A first prompt information of a first region is displayed based on the first group advancing to a first location and a distance between the first location and the first region in the virtual scene being less than a distance threshold. The first prompt information indicates that a first interaction event between the multiple groups has occurred in the first region.

Abstract: In a control method for a virtual object, a target control is displayed in a display interface of a first virtual scene. The first virtual scene corresponds to a first perspective of a target virtual object. An operation prompt based on the first perspective on the target control is displayed based on a touch operation. The operation prompt is configured to display a casting action range of a target virtual item. Casting preview information of the target virtual item is displayed in the first virtual scene when the touch operation stops at a first stop position in the operation prompt. The first virtual scene displayed in the display interface is adjusted to a second virtual scene. The second virtual scene corresponds to a second perspective of the target virtual object.

Abstract: In a hot zone adjustment method, a hot zone adjustment interface of an application is displayed. The hot zone is a touch control region for executing a control function of a virtual character, and the virtual character is configured to move in a virtual world provided by the application. A user operation for a first hot zone is received. The parameter of the first hot zone is customized in response to the user operation for the first hot zone.

Abstract: An audio data processing method is provided. The method includes: obtaining multi-path audio data in an environmental space, obtaining a speech data set based on the multi-path audio data, and separately generating, in a plurality of enhancement directions, enhanced speech information corresponding to the speech data set; matching a speech hidden feature in the enhanced speech information with a target matching word, and determining an enhancement direction corresponding to the enhanced speech information having a highest degree of matching with the target matching word as a target audio direction; obtaining speech spectrum features in the enhanced speech information, and obtaining, from the speech spectrum features, a speech spectrum feature in the target audio direction; and performing speech authentication on the speech hidden feature and the speech spectrum feature that are in the target audio direction based on the target matching word, to obtain a target authentication result.

Abstract: A medical image processing method includes: determining a target mask of a target object in a medical image and a reference mask of a reference object in the medical image, the target mask indicating a position and a boundary of the target object, and the reference mask indicating a position and a boundary of the reference object; determining a feature size of the target object based on the target mask; determining a feature size of the reference object based on the reference mask; and determining a target size of the target object based on the feature size of the reference object, a preset mapping relationship between the feature size of the reference object and a reference size, and the feature size of the target object.

Abstract: The present disclosure provides a method and apparatus for controlling a cursor control, and a related device.

Abstract: A comment information display method is provided. In the method, a video and a comment interface are displayed. A video clip matching result of a comment content that is input via the comment interface is obtained. Target comment information including a video clip playback control element in the comment interface is displayed based on the video clip matching result including a target video clip that matches the comment content. The target video clip is played back based on a user selection of the video clip playback control element in the comment interface.

Abstract: A method for implementing service continuity, performed by a session management (SM) function (SMF) network element may include receiving a target relocation message, the target relocation message carrying target traffic routing information, the target traffic routing information comprising a target data network (DN) access identifier (DNAI) and network address translation (NAT) information, the NAT information comprising a target user equipment (UE) network address, a first application server (AS) network address, and a second AS network address, wherein a target UE corresponding to the target UE network address has established a target protocol data unit (PDU) session to a first PDU session anchor (PSA) user plane function (UPF) network element and is configured to communicate with a first AS corresponding to the first AS network address.

Abstract: The present subject matter relates to point cloud encoding and decoding methods and apparatuses. A point cloud file transmitted by a data source is received. The point cloud file comprises point cloud media tracks having the same point cloud content and point cloud media tracks having different frame rates. File encapsulation information of the point cloud media tracks are parsed to obtain frame rate indication information carried in the file encapsulation information. The frame rate indication information indicates frame rates of the point cloud media tracks. A point cloud media track with a designated frame rate is selected and decoded from the point cloud file according to the frame rate indication information carried in the file encapsulation information.

Abstract: Embodiments of this application provide a sensor calibration method, apparatus, and device, a data measurement method, apparatus, and device, and a storage medium, where the sensor calibration method includes: acquiring a gravity of a sensor itself and a static force measured in a case that the sensor is in a static state and has no external acting force; performing equivalent calibration processing on the gravity and the static force to obtain a calibrated static force; acquiring a dynamic force measured in a case that the sensor is in a motion state and has no external acting force; performing zero drift processing on the dynamic force according to the calibrated static force to obtain a calibrated dynamic force; and using the calibrated dynamic force as a calibration parameter for performing calibration in a case that the sensor measures an external acting force, to obtain a calibrated sensor with the calibration parameter.

Abstract: A video playing method and apparatus, an electronic device, and a storage medium are provided. The method includes: playing a target video; and according to a playing progress of the target video and starting position information and ending position information about a bullet comment adjustment video segment in the target video, a bullet comment display effect corresponding to the bullet comment adjustment video segment, to adjust a blocking degree of bullet comments blocking the bullet comment adjustment video segment in a display region of the target video when the target video is played to the bullet comment adjustment video segment.

Abstract: A method and apparatus for generating a hidden state in a recurrent neural network for language processing are provided. The method includes: generating regional word vectors of at least two dimensions of a target word vector inputted at a first moment; combining the regional word vectors to obtain combined regional word vectors of at least two dimensions; performing aggregation transformation processing on the combined regional word vectors based on a feedforward neural network, to obtain an aggregated word vector corresponding to the target word vector; and generating a target hidden state corresponding to the target word vector based on the aggregated word vector.

Abstract: This application provides a method for constructing a motion information list in video encoding and decoding performed by a computer device. The method includes: obtaining a motion information list, which is a candidate motion information list is used for providing a candidate prediction displacement vector; determining at least one piece of motion information when a length of the motion information list meets a condition; and adding the at least one piece of motion information to the candidate motion information list to obtain an updated motion information list when a length of the candidate motion information list is less than a threshold. According to the embodiments of this application, by filling a motion information list using extra motion information when motion information included in the motion information list is insufficient, more effective displacement vectors are provided in the motion information list to achieve a better displacement vector prediction effect.

Abstract: Embodiments of this application provide a data processing method, apparatus, and device, a blockchain system, and a computer-readable storage medium. The method is performed by a computer device acting as a blockchain client of the blockchain system, the method including: transmitting an identity query request to an identity chain node, the identity query request including an identity identifier (ID) of the blockchain client and to-be-processed data; receiving node identity information returned by the identity chain node based on the identity ID and the data; determining, according to the node identity information, a target blockchain node configured to process the data within a blockchain node set; transmitting the data ID to the target blockchain node, to query data on at least one of the plurality of application chains based on the data ID through the target blockchain node; and receiving the queried data returned by the target blockchain node.

Abstract: A voice identity feature extractor training method includes extracting a voice feature vector of training voice. The method may include determining a corresponding I-vector according to the voice feature vector of the training voice. The method may include adjusting a weight of a neural network model by using the I-vector as a first target output of the neural network model, to obtain a first neural network model. The method may include obtaining a voice feature vector of target detecting voice and determining an output result of the first neural network model for the voice feature vector of the target detecting voice. The method may include determining an I-vector latent variable. The method may include estimating a posterior mean of the I-vector latent variable, and adjusting a weight of the first neural network model using the posterior mean as a second target output, to obtain a voice identity feature extractor.

Abstract: A blockchain-based data processing method, device, and a computer-readable storage medium are provided. A first resource acquisition request of an object identification is transmitted for a target virtual resource to a blockchain network to make the blockchain network query a target ticket identification associated with the object identification and the target virtual resource based on the first resource acquisition request. Metadata is acquired having a binding relationship with the target ticket identification. The target ticket identification is used for characterizing that the object identification has ownership of the target virtual resource. The target virtual resource is acquired according to the metadata returned by the blockchain network. The target virtual resource is controlled to perform an interaction output in response to a triggering operation for interacting with the target virtual resource.

Abstract: A term weight determination method includes: obtaining a video and video-associated text, the video-associated text including at least one term; generating a halfway vector of the term by performing multimodal feature fusion on the features of the video, the video-associated text and the at least one term; and generating the weight of the at least one term based on the halfway vector of the at least one term.