Abstract: A text translation method is described that includes initially acquiring text. Thereafter, first text is determined in the initial text; and second text is determined according to the first text, where the second text is used for describing the first text. Additionally, initial text is translated to obtain initial translation text, and the second text is translated to obtain description translation text. Thereafter, the initial translation text is updated according to the description translation text to obtain target translation text of the initial text.

Abstract: A method for evaluating a text content, which may include: after splitting a to-be-evaluated text into a plurality of clauses arranged in sequence according to punctuation information of the to-be-evaluated text, determining a first clause of the plurality of clauses as an actual tune name; then, determining actual prosodic information based on a Chinese phonetic alphabet text of a third clause to a last clause in response to that a number of clauses, whose numbers of Chinese characters satisfy character count requirements of clauses corresponding to the actual tune name, from the third clause to the last clause exceeds a number threshold; and finally, in response to the actual prosodic information being consistent with a standard prosodic information of the actual tune name, evaluating the to-be-evaluated text as a Ci-poetry text.

Abstract: A translation method, a model training method, apparatuses, electronic devices and storage mediums, which relate to the field of artificial intelligence technologies, such as machine learning technologies, information processing technologies, are disclosed. In an implementation, a weight for each translation model in at least two pre-trained translation models translating a to-be-translated specified sentence is acquired based on the specified sentence and a pre-trained weighting model; and the specified sentence is translating using the at least two translation models based on the weight for each translation model translating the specified sentence.

Abstract: A translation method, an electronic device and a storage medium, which relate to the field of artificial intelligence technologies, such as machine learning technologies, information processing technologies, are disclosed. An implementation includes: acquiring an intermediate translation result generated by each of multiple pre-trained translation models for a to-be-translated specified sentence in a same iteration of a translation process, so as to obtain multiple intermediate translation results; acquiring a co-occurrence word based on the multiple intermediate translation results; and acquiring a target translation result of the specified sentence based on the co-occurrence word.

Abstract: A method and apparatus for selecting a sample corpus used to optimize a translation model, an electronic device, a computer readable storage medium, and a computer program product are provided. The method includes: after acquiring a first corpus, translating the first corpus by using a to-be-optimized translation model to acquire a second corpus with different types of languages, then translating the second corpus by using the to-be-optimized translation model to acquire a third corpus, then determining a difficulty level of the first corpus based on a similarity between the first corpus and the third corpus, and finally determining the first corpus as a sample corpus used to perform optimization training on the to-be-optimized translation model in response to the difficulty level satisfying requirements of a difficulty level threshold.

Abstract: A training method, a text translation method, an electronic device, and a storage medium, which relate to a field of artificial intelligence, in particular to fields of natural language processing and deep learning technologies.

Abstract: A method for training a non-autoregressive translation (NAT) model includes: acquiring a source language text, a target language text corresponding to the source language text and a target length of the target language text; generating a target language prediction text and a prediction length by inputting the source language text into the NAT model, in which initialization parameters of the NAT model are determined based on parameters of a pre-trained translation model; and obtaining a target NAT model by training the NAT model based on the target language text, the target language prediction text, the target length and the prediction length.

Abstract: The invention provides the internal fixation system of multi-function adjustable spine posterior screw-rod. It not only includes the vertebral plate, but also includes the adjustable connecting rod, screw and lock nut. Among them, vertebral plate is curved, its internal cambered surface directly faces the spine, and external cambered surface of vertebral plate is equipped with a reinforcing rib. The vertebral plate is set with the perforative injecting hole, and the external cambered surface of vertebral plate is set with the located block. The surface of the located block is set with the concave threaded hole, and the located block on two sides of the threaded hole is set with the U-shaped bracket. The top of screw expands to form a locking block, which surface is set with the concave locking hole. The locking block on both sides of locking hole is set with the U-shaped locking groove.

Abstract: The invention provides the internal fixation system of spine posterior screw-plate, including the vertebral plate. The vertebral plate is curved, its internal cambered surface directly faces the spine, and external cambered surface of vertebral plate is equipped with a reinforcing rib. The vertebral plate is set with the perforative injecting hole. One side of vertebral plate is fixed with a fixed connecting plate, and the end of the fixed connecting plate away from the vertebral plate is set with the first regulating hole. The bottom of the fixed connecting plate on two sides of the first regulating hole is set with n-shaped caulking groove.

Abstract: The invention provides the internal fixation system of multi-function adjustable spine posterior screw-rod. It not only includes the vertebral plate, but also includes the adjustable connecting rod, screw and lock nut. Among them, vertebral plate is curved, its internal cambered surface directly faces the spine, and external cambered surface of vertebral plate is equipped with a reinforcing rib. The vertebral plate is set with the perforative injecting hole, and the external cambered surface of vertebral plate is set with the located block. The surface of the located block is set with the concave threaded hole, and the located block on two sides of the threaded hole is set with the U-shaped bracket. The top of screw expands to form a locking block, which surface is set with the concave locking hole. The locking block on both sides of locking hole is set with the U-shaped locking groove.

Abstract: The invention provides the internal fixation system of spine posterior screw-plate, including the vertebral plate. The vertebral plate is curved, its internal cambered surface directly faces the spine, and external cambered surface of vertebral plate is equipped with a reinforcing rib. The vertebral plate is set with the perforative injecting hole. One side of vertebral plate is fixed with a fixed connecting plate, and the end of the fixed connecting plate away from the vertebral plate is set with the first regulating hole. The bottom of the fixed connecting plate on two sides of the first regulating hole is set with n-shaped caulking groove.