Abstract: According to the embodiments of the disclosure, a multimedia processing method, device, electronic device, and storage medium are provided by obtaining a first multimedia resource; determining an initial text content corresponding to the first multimedia resource by performing speech recognition on audio data of the first multimedia resource, the audio data of the first multimedia resource comprises speech data of the initial text content; determining an invalid text content in the initial text content, the invalid text content is semantically non-informative; determining a first playing position of speech data of the invalid text content in the first multimedia resource; and cropping the first multimedia resource based on the first playing position to obtain a second multimedia resource, wherein audio data of the second multimedia resource comprises speech data of a target text content but does not comprise the speech data of the invalid text content.

Abstract: According to the embodiments of the disclosure, a multimedia processing method, device, electronic device, and storage medium are provided by obtaining a first multimedia resource; determining an initial text content corresponding to the first multimedia resource by performing speech recognition on audio data of the first multimedia resource, the audio data of the first multimedia resource comprises speech data of the initial text content; determining an invalid text content in the initial text content, the invalid text content is semantically non-informative; determining a first playing position of speech data of the invalid text content in the first multimedia resource; and cropping the first multimedia resource based on the first playing position to obtain a second multimedia resource, wherein audio data of the second multimedia resource comprises speech data of a target text content but does not comprise the speech data of the invalid text content.

Abstract: Embodiments of the present disclosure provide a method and device for playing a video. The method comprises: in the process of playing a video, displaying a first subtitle in a subtitle component displayed in a playback interface of the video, and playing a first audio corresponding to the first subtitle; in response to a first trigger operation of a user on the subtitle component, displaying a first pop-up window, the first pop-up window being used to switch display of the first subtitle to the second subtitle; in response to a second trigger operation of the user on the first pop-up window, switching to display the second subtitle in the subtitle component, and playing a second audio corresponding to the second subtitle. The video playback method and device provided by the embodiments of the present disclosure can solve the issues that users cannot understand subtitles and audios in the process of watching videos, thereby improving the users' experience.

Abstract: The present invention relates to a parameter adjustment method. The parameter adjustment method used for statistical machine translation comprises: step 1: using a monolingual corpus to construct a language model required for translation; step 2: using a bilingual parallel corpus to construct a translation model; and step 3: using a target function to adjust a parameter. The method can solve problems in prior art that the parameter is easily over-fit or falls into a local optimum during a parameter adjustment process, and the method is easy to implement and can combine a larger number of features. In addition, the target function is convex; therefore, global optimum can be achieved in a training process.

Abstract: In order to solve a conventional problem that a translation model has to be updated each time a translation corpus is added, in a case of calculating a score of each phrase pair acquired from a j-th translation corpus (2?j?N) (added translation corpus), a score of each phrase pair corresponding to the j-th translation corpus is calculated using the one or more pieces of phrase appearance frequency information corresponding to a (j?1)-th translation corpus, the calculated score is used to generate a translation model, and the newly generated translation model is used in a state of being integrated to an original translation model. Accordingly, a translation model can be easily enhanced in a stepwise manner.

Abstract: The present invention relates to a parameter adjustment method. The parameter adjustment method used for statistical machine translation comprises: step 1: using a monolingual corpus to construct a language model required for translation; step 2: using a bilingual parallel corpus to construct a translation model; and step 3: using a target function to adjust a parameter. The method can solve problems in prior art that the parameter is easily over-fit or falls into a local optimum during a parameter adjustment process, and the method is easy to implement and can combine a larger number of features. In addition, the target function is convex; therefore, global optimum can be achieved in a training process.