Abstract: Embodiments of this disclosure disclose a speech processing method and a related device, which may be applied to a scenario in which a user records a short video, a teacher records a teaching speech, or the like. The method includes: obtaining an original speech and a second text, where an original text corresponding to the original speech and a target text to which the second text belongs both include a first text; generating a second speech feature of a corrected text (that is, the second text) in the target text by referring to a first speech feature of a correct text (that is, the first text) in the original text; and then generating, based on the second speech feature, a target edited speech corresponding to the corrected text.

Abstract: A sand grain corrosion testing device includes a substrate and universal wheels, a collecting hopper is arranged on one side of a top end of first guiding rods; three sets of buffer plates inclined downwards are arranged on an inner side wall of the collecting hopper; a scale rod is arranged at one side of hydraulic devices; an impact box body is supported and mounted on a part, on one side of the scale rod, of the substrate through the supporting legs; a clamp is obliquely mounted on one side of the impact box body; a discharging outlet at the bottom of the impact box body communicates with a collecting tank; one side of the collecting tank is connected with a sand pump; and one side of the sand pump penetrates through a sealing cover plate and communicates with the interior of the collecting hopper.

Abstract: The invention discloses a caliper repairing clamp, which relates to the technical field of calipers and comprises a machine body, wherein a polishing disc is arranged inside the machine body, a protective cover is arranged on the outer surface of the polishing disc, a moving table is arranged below the machine body, a polishing table is arranged above the moving table, a fixed table is fixedly connected to the upper surface of the polishing table, a first bearing is fixedly embedded inside the machine body, a rotating handle is arranged below the moving table, and a first threaded rod is fixedly connected to the upper surface of the rotating handle.

Abstract: A fixing device for repairing an aluminum alloy wheel hub includes a base and universal wheels connected with the bottom of the base through support legs, wherein one side of the bottom plate is connected with air cylinders; the top of the bottom plate is connected with a fixing plate through a rotating shaft mounted rotationally; corresponding sides of vertical plates at the two sides of the fixing plate are each connected with a pressing plate through two sets of springs; adjusting bolts penetrate through the middles of the vertical plates; a first groove is formed in the middle of the fixing plate; two sets of guide rollers are rotationally mounted in the first groove; a top plate is fixedly mounted at the top of the bracket; a push plate is connected with the bottom of the top plate through a second hydraulic cylinder.

Abstract: Disclosed in the present disclosure is a hub surface scribing device. Four sets of support rods are arranged symmetrically with each other on right side of a base plate, a set of support blocks are mounted at top of each set of support rods, a first polished rod extends between a set of support blocks on left side and a set of support blocks on right side, a first guide sleeve is slideably connected to the first polished rod, the first polished rod is slideably sleeved with a stop block, a first locking bolt penetrates the stop block, a second polished rod extends through two sets of first guide sleeves, the second polished rod is slideably sleeved with a second guide sleeve, a second locking bolt also penetrates the second guide sleeve, a support block is welded to top of the second guide sleeve.

Abstract: A method and device for correcting an error in a text are provided. The method includes: preprocessing the text to obtain at least one segment of the text; generating a plurality of candidate segments for the segment; scoring the plurality of candidate segments with a tree model, to obtain respective first scoring results of the plurality of candidate segments; scoring the plurality of candidate segments with a deep neural network model, to obtain respective second scoring results of the plurality of candidate segments; for each candidate segment, calculating a scoring of the candidate segment based on the first scoring result and the second scoring result of the candidate segment; ranking the plurality of candidate segments according to the scorings of the candidate segments, to obtain a ranking result; and correcting the error in the text according to the ranking result.

Abstract: A fixture for sticking balance blocks to the surface of a hub includes a base, in which a fixed plate is welded to one side of the upper end of the base, a slide rail butted to the fixed plate is connected to the other side of the base by bolts, a sliding block is connected to the slide rail in a sliding manner, the middle positions of the fixed plate and the sliding block are respectively connected with a first roller and a second roller of the same type by bearings, each of the first roller and the second roller is sleeved with a rubber sleeve of the same specification, and a support table is mounted under the base.

Abstract: The invention discloses a caliper repairing clamp, which relates to the technical field of calipers and comprises a machine body, wherein a polishing disc is arranged inside the machine body, a protective cover is arranged on the outer surface of the polishing disc, a moving table is arranged below the machine body, a polishing table is arranged above the moving table, a fixed table is fixedly connected to the upper surface of the polishing table, a first bearing is fixedly embedded inside the machine body, a rotating handle is arranged below the moving table, and a first threaded rod is fixedly connected to the upper surface of the rotating handle.

Abstract: An automatic sand abrasion device includes a shell, an integrated framework, a sand falling mechanism, a sand transport mechanism, a sand falling channel, a sample working frame and a circuit control cabinet, where the device adopts the transport belt and the second speed reduction motor to realize transportation of sand, and realizes that the weighed sand falls into the bottom of the abrasion device through the first speed reduction motor and the automatic weighing machine. The whole process can be automatically operated while parameters such as the operation time and the weight of abrasion sand are set, so that the detection efficiency for the abrasion resistance can be improved, and the labor cost is greatly reduced. The device is firm in structure and stable and reliable in work and improves the accuracy and efficiency of an experiment.

Abstract: A method and device for correcting an error in a text are provided. The method includes: preprocessing the text to obtain at least one segment of the text; generating a plurality of candidate segments for the segment; scoring the plurality of candidate segments with a tree model, to obtain respective first scoring results of the plurality of candidate segments; scoring the plurality of candidate segments with a deep neural network model, to obtain respective second scoring results of the plurality of candidate segments; for each candidate segment, calculating a scoring of the candidate segment based on the first scoring result and the second scoring result of the candidate segment; ranking the plurality of candidate segments according to the scorings of the candidate segments, to obtain a ranking result; and correcting the error in the text according to the ranking result.

Abstract: A sand grain corrosion testing device includes a substrate and universal wheels, a collecting hopper is arrange on one side of top end of the first guiding rods; three sets of buffer plates inclined downwards are arranged on inner side wall of the collecting hopper; a scale rod is arranged at one side of hydraulic devices; an impact box body is supported and mounted on a part, on one side of the scale rod, of the substrate through the supporting legs; a clamp is obliquely mounted on one side of the impact box body; a discharging outlet at the bottom of the impact box body communicates with a collecting tank; one side of the collecting tank is connected with a sand pump; and one side of the sand pump penetrates through a sealing cover plate and communicates with the interior of the collecting hopper.

Abstract: A fixing device for repairing an aluminum alloy wheel hub includes a base and universal wheels connected with the bottom of the base through support legs, wherein one side of the bottom plate is connected with air cylinders; the top of the bottom plate is connected with a fixing plate through a rotating shaft mounted rotationally; corresponding sides of vertical plates at the two sides of the fixing plate are each connected with a pressing plate through two sets of springs; adjusting bolts penetrate through the middles of the vertical plates; a first groove is formed in the middle of the fixing plate; two sets of guide rollers are rotationally mounted in the first groove; a top plate is fixedly mounted at the top of the bracket; a push plate is connected with the bottom of the top plate through a second hydraulic cylinder.

Abstract: Embodiments of the present disclosure disclose a method for modifying a segmentation model based on artificial intelligence, a device and a storage medium. The method may include: acquiring a model parameter of the segmentation model, and performing a training on a feature vector corresponding to a preset generalized feature of a first training corpus via a neural network so as to acquire a model parameter of the preset generalized feature; performing a word segmentation on the first training corpus according to the model parameter of the segmentation model and the model parameter of the preset generalized feature, so as to acquire a segmentation result; and comparing the segmentation result with the first training corpus according to a preset rule, and modifying the model parameter of the segmentation model and a parameter of the neural network according to a comparison result.

Abstract: Embodiments of the present disclosure disclose a word segmentation method based on artificial intelligence, a server and a storage medium. The word segmentation method may include: acquiring a corpus to be segmented and a segmentation model corresponding to a preset segmentation template; matching the corpus to be segmented with the segmentation model according to a preset matching algorithm, and acquiring a target phrase satisfying a first preset rule in the corpus to be segmented; modifying an emission matrix corresponding to the segmentation model and the corpus to be segmented according to the target phrase; and performing a word segmentation on the corpus to be segmented according to the emission matrix modified, to acquire a first segmentation result.

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for customizing a word segmentation model based on artificial intelligence, a device and a medium. The method includes the followings. A customized segmentation training corpus is acquired. A first preset word segmentation model is rectified with an increment training method or a weight intervention method, based on the customized segmentation training corpus, to obtain a customized word segmentation model corresponding to the customized segmentation training corpus.

Abstract: A fixture for sticking balance blocks to the surface of a hub includes a base, in which a fixed plate is welded to one side of the upper end of the base, a slide rail butted to the fixed plate is connected to the other side of the base by bolts, a sliding block is connected to the slide rail in a sliding manner, the middle positions of the fixed plate and the sliding block are respectively connected with a first roller and a second roller of the same type by bearings, each of the first roller and the second roller is sleeved with a rubber sleeve of the same specification, and a support table is mounted under the base.

Abstract: Disclosed in the present disclosure is a hub surface scribing device. Four sets of support rods are arranged symmetrically with each other on right side of a base plate, a set of support blocks are mounted at top of each set of support rods, a first polished rod extends between a set of support blocks on left side and a set of support blocks on right side, a first guide sleeve is slideably connected to the first polished rod, the first polished rod is slideably sleeved with a stop block, a first locking bolt penetrates the stop block, a second polished rod extends through two sets of first guide sleeves, the second polished rod is slideably sleeved with a second guide sleeve, a second locking bolt also penetrates the second guide sleeve, a support block is welded to top of the second guide sleeve.

Abstract: Embodiments of the disclosure disclose a method, apparatus, device, and storage medium for establishing an error correction model based on an error correction platform. The method comprises: determining a target error correction level based on an error correction need of a user; and selecting at least one error correction module from each of at least two error correcting portions of the error correction platform based on the target error correction level, and combining the selected error correction module to form an error correction model.

Abstract: Embodiments of the present disclosure disclose a method for modifying a segmentation model based on artificial intelligence, a device and a storage medium. The method may include: acquiring a model parameter of the segmentation model, and performing a training on a feature vector corresponding to a preset generalized feature of a first training corpus via a neural network so as to acquire a model parameter of the preset generalized feature; performing a word segmentation on the first training corpus according to the model parameter of the segmentation model and the model parameter of the preset generalized feature, so as to acquire a segmentation result; and comparing the segmentation result with the first training corpus according to a preset rule, and modifying the model parameter of the segmentation model and a parameter of the neural network according to a comparison result.

Abstract: Embodiments of the present disclosure disclose a word segmentation method based on artificial intelligence, a server and a storage medium. The word segmentation method may include: acquiring a corpus to be segmented and a segmentation model corresponding to a preset segmentation template; matching the corpus to be segmented with the segmentation model according to a preset matching algorithm, and acquiring a target phrase satisfying a first preset rule in the corpus to be segmented; modifying an emission matrix corresponding to the segmentation model and the corpus to be segmented according to the target phrase; and performing a word segmentation on the corpus to be segmented according to the emission matrix modified, to acquire a first segmentation result.