333results about How to "Improve translation efficiency" patented technology

New RNA cap analogs are disclosed containing one or more phosphorothioates groups. The analogs also contain modifications at the 2′-O position of 7-methylguanosine that prevent them from being incorporated in the reverse orientation during in vitro synthesis of mRNA and that hence are “anti-reverse cap analogs” (ARCAs). The ARCA modification ensures that the S atom is precisely positioned within the active sites of cap-binding proteins in both the translational and decapping machinery. The new S-ARCA analogs are resistant to in vivo decapping enzymes. Some S-ARCAs have a higher affinity for eIF4E than the corresponding analogs not containing a phosphorothioate group. When mRNAs containing the various S-ARCAs are introduced into cultured cells, some are translated as much as five-fold more efficiently than mRNAs synthesized with the conventional analog m7GpppG.

Engineered mRNA useful in producing libraries of engineered mRNAs, polypeptide-engineered mRNA conjugates and diverse encoded polypeptide libraries, as well as novel ribozyes that join an mRNA to the translation product of the mRNA and methods of identifying members of diverse encoded polypeptide libraries which exhibit a desired activity. Also described are polypeptide-nucleic acid tag conjugates, methods of producing the conjugates and uses therefor.

There are provided compositions and methods for activating expression of an exogenous polynucleotide of interest only in the presence of a specific endogenous miRNA in a cell. Further provided are uses for the compositions in treatment and diagnosis of various conditions and disorders, for example by selectively activating expression of a toxin only in target cell populations.

The invention provides an adaptive neural network machine translation method based on an unsupervised field. The method comprises the following steps that: taking the vector representation of the last word and the first word of a source end sentence in a bilingual corpora training sample as the input of a Softmax classifier and a translation module to be subjected to training; and according to a domain number generated by the Softmax classifier, generating the number of translation network decoders, and generating a target end and a corresponding domain on the basis of the decoder of the target end. By use of the method, the problem in the prior art that labelled domain data is in shortage is overcome, time and cost are saved, adaption between translation and domains can be efficiently finished, and the method is high in practicality and has a good applicable range and expandability.

The invention provides, among other things, methods of mRNA stabilizing mRNA and nuclease resistant mRNA prepared in accordance with such methods. In certain embodiments, the nuclease resistant mRNA encodes a functional protein, such as enzyme, and is characterized by its resistance to nuclease digestion, increased half-life and / or its ability to produce increased amounts of the functional protein (e.g., enzyme) encoded thereby.

The invention discloses a simultaneous interpretation system based on a speech recognition technology. The simultaneous interpretation system comprises a speech acquisition unit, a speech recognition unit, a character translation unit, a text-to-speech synthesis unit and a speech playing unit, wherein the speech acquisition unit acquires sound information of a user; the speech recognition unit performs recognition and understanding on speech of the user, and outputs character information in a corresponding language; the character translation unit translates the character information, and generates a character text in the translated language; the text-to-speech synthesis unit synthesizes the translated characters into speech to generate an audio file; and the audio file is played by the speech playing unit in real time. The simultaneous interpretation system realizes simultaneous interpretation, is simple and convenient, improves translation efficiency, saves manpower and material resources, and can be widely used in small international conferences and business meetings.

The invention discloses a machine translation method and device. The method comprises the steps that a sentence to be translated is received; at least one phrase fragment in the sentence to be translated is replaced by a preset character string, and a template which is matched with the sentence after replacing is searched from a template library after replacing operation every time; for the sentence matched with the template, a constant translation result of the part, corresponding to the constant of the template, of the matched sentence is acquired according to the template, a variable translation result of the part, corresponding to the variable of the template, of the matched sentence is acquired by decoding, and the constant translation result and the variable translation result are spliced; for the sentence which is not matched with the template in the template library, the translation result is acquired by decoding. According to the machine translation method and device, calculation can be reduced, and translation quality is improved.

The invention discloses a neural machine translation method based on word prediction. The method includes the step of adding a word prediction mechanism during the training process of an end-to-end neural machine translation system based on an attention mechanism, wherein the step can be specifically divided into two aspects: in the first aspect, the word prediction mechanism is added into a source end namely an encoding end; in the second aspect, the word prediction mechanism is added into a target end namely a decoding end. Compared with existing neural machine translation systems, the neural machine translation method based on the word prediction can fully utilize the information of words and enhance capabilities of the source end and the target end during training, so that the translation quality of the machine translation system can be improved, and during translation, by using the word prediction mechanism of the encoding end to compress a demanded word list, translation efficiency can be greatly improved. Under a practical experiment circumstance, the translation quality and efficiency can both be significantly improved.

The present invention provides a gene expression system comprising: a) a self-replicating expression vector of flavivirus origin which includes the flavivirus 5′ untranslated region (UTR), at least a portion of the 5′ coding region for flavivirus core protein, the nucleotide sequence coding for the flavivirus non-structural proteins, and the complete or most of the 3′-terminal sequence of the flavivrus 3′UTR, required for self-replication of flavivirus genomic material, which vector is adapted to receive at least a nucleotide sequence without disrupting its replication capabilities; and b) at least a second vector that is capable of expressing flavivirus structural protein(s) and any other proteins required for packaging of the self-replicating expression vector into flavivirus viral particles which vector is engineered to prevent recombination with the self-replicating vector when in its presence.

A method and apparatus for translate terms base on context are provided in embodiments of that present invention, The method comprises the following steps of: performing sentence processing on a fileto be translated; extracting a term in the file to be translated and a sentence in which the term is located by using a maximum forward matching algorithm combined with a term library selected in advance by an interpreter; and obtaining a term definition corresponding to the term from the term library; and performing sentence processing on the file to be translated. Extracting a corpus whose sentence matching degree with the term is greater than a preset threshold value, sorting the corpus according to the matching degree from high to low, and filtering out the corpus not containing the term;Obtaining a corpus interpretation corresponding to the term in the corpus by a word alignment method; The corpus definition is combined with the string editing distance algorithm to filter the term definition, and the final term definition is obtained. The embodiment of the invention extracts the definition of the terms in the corpus through the word alignment method, improves the term prompting function of the computer-aided translation, and can effectively improve the translation efficiency of the interpreter.

The invention relates to enhancer Hr3 adopting the nucleotide sequence shown in the SEQIDNO: 1. The enhancer Hr3 can be used for preparing and recombining heterologous protein by bombyx mori. The invention further relates to a recombination carrier containing the enhancer Hr3, and the recombination carrier is prepared in such a manner that the enhancer Hr3 is connected with a Nco1 restriction site at the upstream of a promoter of a carrier containing no enhancer through the Nco1 restriction site of the enhancer Hr3. In the invention, functional elements such as the first grade enhancer, activating transcription factor IE1, untranslated region sequences (5' UTR and 3' UTR) and the like which are expressed by intensifier are identified in the cellular level, and an efficient and stable sericin I expression system is built by integrating optimum elements on the basis, so that efficient expression recombination heterologous protein can be made of middle silk gland of transgenic bombyx mori.

The invention discloses a Uyghur-Chinese bi-directional translation memory system construction method. The Uyghur-Chinese bi-directional translation memory system construction method includes (1) memory vault structure and management, (2) Uyghur and Chinese sentence alignment and storage, (3) translation memory retrieval and (4) translation edit environment. According to the Uyghur-Chinese bi-directional translation memory system construction method, translation efficiency and quality are improved.

The invention discloses a multicore architecture supporting dynamic binary translation, aiming to solve the problems of Cache access conflict, main memory conflict and the like during dynamic binary translation. The multicore architecture comprises a plurality of processor cores, a plurality of primary Caches, a plurality of translation cache units, a secondary Cache and a main memory controller,wherein the primary Caches and the translation cache units are private for each processor core; the secondary Cache and the main memory controller are shared by all the processor cores; each translation cache unit comprises a communication control unit, a cache management unit and a data memory unit; the communication control unit comprises a multi-channel selector, a communication control unit controller, a transmission bus and three registers; the cache management unit comprises a page replacement component and a cache management control component; and the data memory unit comprises a source architecture binary code cache area, a target architecture binary code cache area and a page mapping table. The multicore architecture has the following technical effects: the data access latency isreduced, the translation throughput is high and the Cache access conflict is less.

The embodiment of the invention discloses a translation method and device based on a neural network. The method comprises the following steps that: obtaining the initial translation of a sentence to be translated, wherein the initial translation carries unlisted words; splitting the unlisted words in the initial translation into characters, and inputting a character sequence formed by the characters obtained by splitting into a first multilayer neural network; through the first multilayer neural network, obtaining the character vector of each character in the character sequence, and inputtingall character vectors of the character sequence into a second multilayer neural network; using the second multilayer neural network and a preset common word database to code all character vectors to obtain a semantic vector; and inputting the semantic vector into a third multilayer neural network, decoding the semantic vector through the third multilayer neural network, and combining with the initial translation of the sentence to be translated to determine the final translation of the sentence to be translated. The method has the advantages that the translation operability of the unlisted words can be improved, the translation cost of machine translation is lowered, and the translation quality of the machine translation is improved.

Embodiments of the invention provide a translation method and device and a terminal. The method comprises the following steps of: receiving a content page of a third-party application program; when aselection signal corresponding to a target expression in the content page is received, calling a page callback interface of an operation system to display a translation control; when a first trigger signal corresponding to the translation control is received, obtaining a translation result of the target expression; and displaying the translation result. According to the method, the page callback interface is opened for the third-party application program, the translation control provided by the operation system is obtained and displayed through the interface, users can call out the translationcontrol through specific trigger operations for to-be-translated expressions when having translation demands during page content reading, and the users can obtain translation results of the to-be-translated expressions through triggering an operation control; and the translation is realized without switching between two application programs, so that the operations of the users during the translation can be saved and the translation efficiency is enhanced.

The invention relates to an input method oriented at computer-assisting translation. The input method includes the steps that S1, word segmentation is carried out on a source language sentence; S2, a machine translation candidate list corresponding to the source language sentence obtained after word segmentation and an optimal machine translation candidate are obtained, and multielement grammar hint phrases are obtained; S3, input method phrase candidates are obtained by responding to the multielement grammar hint phrases selected by a key or receiving an input key sequence; S4, after the multielement grammar hint phrases or input method phrase candidates selected by a user key are responded, the multielement grammar hint phrases are obtained, and the step S3 is carried out repeatedly until a user finishes entering of the translation of the source language sentence. The invention further provides an input device oriented at computer-assisting translation. The device comprises a word segmentation module, a translation module, a first generation module, a second generation module and an input device interface. The input method and device oriented at computer-assisting translation make full use of machine translation knowledge, the key saving rate at least rises by 11.04%, and the efficiency of artificial translation is greatly increased.

The embodiment of the invention discloses a translation method and device, a terminal and a storage medium. The method comprises the steps of: acquiring an image comprising text information; when displaying the image, generating text translation options, wherein the text translation options comprise a word translation option and a sentence translation option; if detecting out a trigger operation for the word translation option, carrying out translation on a target word corresponding to a target position of a screen in an image display region triggered by a user; and if detecting out a triggeroperation for the sentence translation option, carrying out translation on a target sentence corresponding to an identifier of the user on the display screen. According to the translation method provided by the embodiment of the invention, words or sentences included in images can be translated without inputting words or sentences which need to be translated, so that translation efficiency can beimproved and the translation operation can be simplified.

The invention discloses a bidirectional translation method. The method comprises the steps of collecting voice input by a user through a main microphone (Mic) and an auxiliary microphone (Mic), and generating a first pulse code modulation (PCM) audio stream and a second pulse code modulation (PCM) audio stream of the voice input by the user; conducting gain contrast on the first pulse code modulation (PCM) audio stream and the second pulse code modulation (PCM) audio stream, and determining language translation strategies of the user, wherein the language translation strategies comprise the processes of translating local voice into foreign languages and translating the foreign languages to the local voice; translating the identified voice input by the user according to the language translation strategies of the user; outputting a translation result of the voice input by the user. The invention further comprises a mobile terminal and a computer-readable storage medium. The problem of low efficiency caused by the strategy that bidirectional translation requires constant and manual changing of translation languages in related technologies is solved, and without manually changing translation strategies by hand, the translation efficiency and the user experiences are improved.

The present invention relates to the field of nucleic acid vaccines and particularly provides an mRNA rabies vaccine. A nucleotide sequence for transcribing the provided optimized RVG mRNA is shown asSEQ ID NO.1. A coding region of a rabies virus CTN-1 strain G protein (RVG) is optimized and an obtained nucleotide sequence is the optimized RVG mRNA sequence shown in the SEQ ID NO.1. The nucleotide sequence enables structure of the transcribed mRNA to be more stable and the target protein is more efficiently translated in mammals and humans. The provided rabies virus nucleic acid vaccine comprises a vaccine vector and the optimized RVG mRNA, achieves sufficient protection effects by using an extreme small dose, and is superior to existing rabies vaccine technologies in terms of safety andeffectiveness.

The invention is applicable to the technical field of intelligent terminals and provides a translation method, device and intelligent terminal, wherein the translation method includes obtaining an image of a first language text to be translated, identifying the image of the first language text and obtaining a first language text content, uploading the identified first language text content to a server, obtaining second language text content which is the target language category, receiving the second language text content fed back from the server. When a translation request information of thefirst language character in the first language text content is recieved, the first language character selected by the user is obtained and the second language character corresponding to the selected first language character is output. According to the invention, the first language text content is uploaded to the server. The second language text content fed back from the server is received. The purpose of simultaneously translating a plurality of words and sentences can be achieved and the translation efficiency is improved.

The invention provides a novel HBB overexpression vector and a design method and application thereof. The HBB overexpression vector comprises an HBB expression module; the HBB expression module comprises a DNase I core high-sensitivity site, a promoter, an HBB expression frame and a downstream high-sensitivity site which are arranged in series; the DNase I high-sensitivity site comprises HS4, HS3,HS2, 3'E and the like which are expressed in series. The total length of the HBB expression module is smaller than 4 kb. By simplifying and optimizing a cis-acting element and the HBB expression frame, not only is the length of the HBB expression module obviously shortened, but also the transcriptive activation strength of the HBB expression module is improved, and efficient, stable and specificactivation of the HBB globin gene is realized.

The invention provides a method, device and system for translating a web page. The method includes the steps that the page attribute of the web page to be translated and N web page elements in the webpage to be translated are obtained, wherein N is a positive integer; according to the attributes of the N web page elements, the N web page elements are classified, and M web page elements to be translated are obtained from the N web page elements, wherein M is a positive integer smaller than or equal to N; M translating results of content to be translated are obtained from the M web page elements and correspond to the M web page elements in a one-to-one mode; according to the classification result of the N web page elements, the attributes of the M web page elements and the attribute of theweb page, the M translating results are added into the web page to be translated to obtain a translating comparison page. Through the method, device and system for translating the web page, the relation between the content of the translated web page and the content of the original web page is improved, and web page reading is convenient for users.

The invention discloses an image-based word translation method and system, and a mobile device. The method comprises the steps of shooting to-be-translated contents, and displaying a shot image on a screen of the mobile device; detecting a click position of a user on the image displayed by the screen of the mobile device, and obtaining a to-be-translated word corresponding to the click position in the image; and searching for a paraphrase corresponding to the to-be-translated word and displaying the paraphrase on the screen of the mobile device. By implementing the method, the user operation process is simplified and the translation efficiency is improved.

The invention discloses a sentence pair-based machine translation engine evaluation optimization method and system. According to the method, multi-dimensional scoring is carried out on all machine translation engines according to selected language pairs and sentence fields, then weighted summation is carried out on scores to obtain weighted sum values of all the machine translation engines on sentences, the machine translation engine with the highest weighted sum value is selected to output translation results of sentences, and therefore a whole translation text is obtained through integration. Through the method, machine translation engine automatic optimization service can be provided for users in various complex machine translation engines with uneven translation quality and different skilled fields and language pairs; each sentence can obtain the most excellent machine translation engine service at present when a user translates a file and other long texts, the translation efficiency is improved, the subsequent workload of the user is reduced, and high-quality machine translation service is provided.

The invention discloses a Qt development-based multilingual entry generation method. The method comprises the steps of 1, obtaining and analyzing pro files of a Qt project and pro files of sub-modulesto form a complete pro file list, wherein each pro file list item corresponds to a to-be-translated module; 2, for each to-be-translated module, calling lupdate.ext of Qt, and extracting entries marked with tr macro functions in source files to form a ts file of each to-be-translated module; 3, reading a ts file list, and outputting to-be-translated Excel entry files; 4, obtaining Excel entry files after tool-based automatic translation or human translation and revision, backfilling the entries of a specified language, generating ts files corresponding to the language, calling lrelease.ext ofQt, and generating qm files. The automation level of multilingual entry processing is improved, and the entries are organized and managed in an intuitive and visual mode, so that translators can perform input and revision conveniently; and existing entries can be automatically reused, so that the manual repeated input work is reduced.

The embodiment of the invention discloses a computer-aided translation method and device, computer equipment and a storage medium, and the method comprises the steps: responding to an aided translation instruction triggered in an original text region of a current interface, and identifying a target original text sentence of a to-be-translated article pointed by the aided translation instruction; obtaining a target translated sentence corresponding to the target original sentence in a translated text area of a current interface; and moving the position of the target translated sentence in the translated text area to enable the target translated sentence to be aligned with the position of the target original sentence. According to the embodiment of the invention, by establishing the visual relevance between the original text and the translated text, the visual interference of the translator is reduced, and the translation efficiency of the translator is improved.

The invention provides a picture recognition translation method, a terminal and a medium, which are applied to an intelligent terminal, and comprise the following steps: acquiring a to-be-translated picture; identifying text information on the picture to be translated; acquiring position information of the text information in the to-be-translated picture; translating the text information into a target text; and displaying the target text at the position represented by the position information. By the adoption of the technical scheme, the picture with the text can be directly translated into the picture of the target language, the corresponding text position is directly changed into the text of the target language regardless of the picture locally stored in the intelligent terminal or the unstored picture displayed on the current interface, the original pattern of the picture is not affected, and reading and using are convenient.