Abstract: A vehicle detection system warns snowmobilers of other approaching vehicles with potential risk of collision. To better prevent accidents, the system calculates collision risks and warns the rider based on level of risk. When riding in groups, a member can press a stop request button to ask the group to slow down. When a member exits the group, everyone in the group will receive a message, alerts or indication with the update. The vehicle detection system utilizes Bluetooth® low energy (BLE), LoRaWAN® technologies and/or global positioning system technologies and is designed to detect other devices in the region and use acquired information to calculate proximity and risk of collision.

Abstract: An automatic test pattern generation-based circuit verification method, comprises: determining a to-be-detected first logic cone from a fan-out logic cone corresponding to the target line; determining, based on the first logic cone, a to-be-detected second logic cone from a fan-in logic cone corresponding to the target line; generating a first CNF based on the first logic cone and the second logic cone, and detecting the target line by using the first CNF to obtain a first detection result; and if the first logic cone is a partial region in the fan-out logic cone, and the first detection result meets a first specified condition corresponding to the first logic cone, determining a first verification result of the target line based on the first detection result.

Abstract: Provided are a method and apparatus for translating words in a picture, an electronic device, and a storage medium. The method includes: recognizing words embedded in a target picture to obtain at least one text line, each of which corresponds to one line of words; perform paragraph combination on the at least one text line to obtain at least one text paragraph; translating the at least one text paragraph into at least one target text paragraph in a specified language; and replacing the words in the target picture with the at least one target text paragraph.

Abstract: Provided are a model training method and apparatus, a machine translation method and apparatus, a device, and a storage medium. The model training method includes the steps described below. Through a neural network pruning technique, a respective influence degree of each parameter in multiple parameters in a first translation model on a translation result in a first field is determined to obtain at least one first parameter and at least one second parameter. By using the first corpus of the first field, the at least one first parameter is trained obtain the second translation model, and the at least one second parameter remains unchanged. Similarity between a translation result of the second translation model in the first field and a translation result of the first translation model in the first field meets a preset condition.

Abstract: Provided are a speech translation method, a device, and a storage medium. The method includes: extracting, through an encoder of an end-to-end speech translation model, the semantic feature of a to-be-processed speech; decoding, through a decoder of the end-to-end speech translation model, a source language text corresponding to the semantic feature from the semantic feature; decoding, through the decoder of the end-to-end speech translation model, the semantic feature according to the source language text to obtain a text sequence corresponding to the semantic feature; and splitting the text sequence to obtain a target language text corresponding to the to-be-processed speech.

Abstract: This application discloses an information conversion method and apparatus, a storage medium, and an electronic apparatus.

Abstract: A video translation method includes: converting speech in a video to be translated into text; displaying the text and first time information, second time information, and a reference translation of the text; in response to an operation by a user on the text or the reference translation, displaying an editing area supporting the user inputting a translation; following input by the user, providing a translation suggestion from the reference translation; when a confirmation operation by the user for the translation suggestion is detected, using the translation suggestion as a translation result and displaying the same; when a non-confirmation operation by the user for the translation suggestion is detected, receiving a translation inputted by the user which is different from the translation suggestion, using the inputted translation as a translation result and displaying the same, and updating the reference translation in a translation area according to the inputted translation.

Abstract: Embodiments of this application include an information conversion method for translating source information. The source information is encoded to obtain a first code. A preset conversion condition is obtained. The preset conversion condition indicates a mapping relationship between the source information and a conversion result. The first code is decoded according to the source information, the preset conversion condition, and translated information to obtain target information. The target information and the source information are in different languages. Further, the translated information includes a word obtained through conversion of the source information into a language of the target information.

Abstract: Provided are an interactive machine translation method and apparatus, a device, and a medium. The method includes: acquiring a source statement input by a user; translating the source statement into a first target statement; determining whether the user adjusts a first vocabulary in the first target statement; and in response to determining that the user adjusts the first vocabulary in the first target statement, acquiring a second vocabulary for replacing the first vocabulary, and adjusting, based on the second vocabulary, a vocabulary sequence located in a front of the first vocabulary and a vocabulary sequence located behind the first vocabulary in the first target statement to generate a second target statement.

Abstract: Provided are a speech translation method and apparatus, an electronic device and a storage medium. The method includes: acquiring a source speech corresponding to a to-be-translated language; acquiring a specified target language; inputting the source speech and indication information matched with the target language into a pre-trained speech translation model, where the speech translation model is configured to translate a language in a first language set into a language in a second language set, the first language set includes a plurality of languages, the first language set includes the to-be-translated language, the second language set includes a plurality of languages, and the second language set includes the target language; and acquiring a translated speech corresponding to the target language and output by the speech translation model; where the to-be-translated language is different from the target language.

Abstract: A one-piece clamp assembly for a window covering is disclosed. The window covering consists of a left side portion and right side portion connected to a moveable hinge portion. The left side portion comprises a plurality of rounded extrusions and at least one vertical rounded extrusion that securely mates into a hole or slot on the right side portion. The left side portion further comprises extruded walls that mate with single and double spikes found on the right side portion. The extruded portions and mating spikes provide for a secure connection of the clamp assembly to the window covering. A connecting slot is placed on either the left or ride side portion, enabling the clamp assembly to fasten to a head rail fastener of a window covering.

Abstract: A document translation method includes: displaying a source text display region, a translated text region, and an editing region, wherein textual content in a document to be translated is displayed in the source text display region, and reference translated text for the textual content is displayed in the translated text region; and providing a translated text recommendation from the reference translated text according to input from a user within the editing region. The method further includes: displaying the translation recommendation in the editing area as a translation result, if a confirmation operation for the translation recommendation is detected; and receiving a translation inputted by the user that is different from the translation recommendation and displaying the translation inputted by the user in the editing area as the translation result, if a non-confirmation operation for the translation recommendation is detected.

Abstract: A video translation method includes: converting speech in a video to be translated into text; displaying the text and first time information, second time information, and a reference translation of the text; in response to an operation by a user on the text or the reference translation, displaying an editing area supporting the user inputting a translation; following input by the user, providing a translation suggestion from the reference translation; when a confirmation operation by the user for the translation suggestion is detected, using the translation suggestion as a translation result and displaying the same; when a non-confirmation operation by the user for the translation suggestion is detected, receiving a translation inputted by the user which is different from the translation suggestion, using the inputted translation as a translation result and displaying the same, and updating the reference translation in a translation area according to the inputted translation.

Abstract: A document translation method includes: displaying a source text display region, a translated text region, and an editing region, wherein textual content in a document to be translated is displayed in the source text display region, and reference translated text for the textual content is displayed in the translated text region; and providing a translated text recommendation from the reference translated text according to input from a user within the editing region. The method further includes: displaying the translation recommendation in the editing area as a translation result, if a confirmation operation for the translation recommendation is detected; and receiving a translation inputted by the user that is different from the translation recommendation and displaying the translation inputted by the user in the editing area as the translation result, if a non-confirmation operation for the translation recommendation is detected.

Abstract: Provided are a method for acquiring a parallel corpus, an electronic device, and a storage medium. The method includes: acquiring text data in a target document; performing language detection on the text data; in response to the text data including at least two languages, retaining the text data; detecting a distribution proportion of words in each of the at least two languages among the retained text data; in response to each distribution proportion of words in a first language and in a second language being greater than a preset proportion threshold, retaining the detected text data; extracting sentences in the first language as a first sentence set and sentences in the second language as a second sentence set; performing sentence alignment on the first sentence set and the second sentence set; and determining sentence pairs with alignment degrees greater than a preset alignment degree threshold as the parallel corpus.

Abstract: Provided are a speech translation method and apparatus, an electronic device and a storage medium. The method includes: acquiring a source speech corresponding to a to-be-translated language; acquiring a specified target language; inputting the source speech and indication information matched with the target language into a pre-trained speech translation model, where the speech translation model is configured to translate a language in a first language set into a language in a second language set, the first language set includes a plurality of languages, the first language set includes the to-be-translated language, the second language set includes a plurality of languages, and the second language set includes the target language; and acquiring a translated speech corresponding to the target language and output by the speech translation model; where the to-be-translated language is different from the target language.

Abstract: Provided are a method for acquiring a parallel corpus, an electronic device, and a storage medium. The method includes: acquiring text data in a target document; performing language detection on the text data; in response to the text data including at least two languages, retaining the text data; detecting a distribution proportion of words in each of the at least two languages among the retained text data; in response to each distribution proportion of words in a first language and in a second language being greater than a preset proportion threshold, retaining the detected text data; extracting sentences in the first language as a first sentence set and sentences in the second language as a second sentence set; performing sentence alignment on the first sentence set and the second sentence set; and determining sentence pairs with alignment degrees greater than a preset alignment degree threshold as the parallel corpus.

Abstract: Provided are a method and apparatus for translating words in a picture, an electronic device, and a storage medium. The method includes: recognizing words embedded in a target picture to obtain at least one text line, each of which corresponds to one line of words; perform paragraph combination on the at least one text line to obtain at least one text paragraph; translating the at least one text paragraph into at least one target text paragraph in a specified language; and replacing the words in the target picture with the at least one target text paragraph.

Abstract: Provided are an interactive machine translation method and apparatus, a device, and a medium. The method includes: acquiring a source statement input by a user; translating the source statement into a first target statement; determining whether the user adjusts a first vocabulary in the first target statement; and in response to determining that the user adjusts the first vocabulary in the first target statement, acquiring a second vocabulary for replacing the first vocabulary, and adjusting, based on the second vocabulary, a vocabulary sequence located in a front of the first vocabulary and a vocabulary sequence located behind the first vocabulary in the first target statement to generate a second target statement.

Abstract: Embodiments of this application include an information conversion method for translating source information. The source information is encoded to obtain a first code. A preset conversion condition is obtained. The preset conversion condition indicates a mapping relationship between the source information and a conversion result. The first code is decoded according to the source information, the preset conversion condition, and translated information to obtain target information. The target information and the source information are in different languages.