Abstract: A laser level ruler, comprising a housing (1). A laser emission module (2), a ranging module (5), a power supply module (4) and an angle measurement module (3) are arranged in the housing (1), wherein the power supply module (4) supplies power to the laser emission module (2), the ranging module (5) and the angle measurement module (4); the laser emission module (2) and the ranging module (5) are arranged at both ends of the housing; and the power supply module (4) and the angle measurement module (3) are arranged between the laser emission module (2) and the ranging module (5).

Abstract: A laser module control circuit comprises a laser module circuit, wherein the laser module circuit is connected in parallel with a first control sub-circuit and a second control sub-circuit, with a first triode arranged in the first control sub-circuit and a second triode arranged in the second control sub-circuit, while the collector electrode of the first and second triodes is connected with the laser module circuit. The base electrode thereof is connected with the CPU, and the emitter electrode thereof is connected to the ground.

Abstract: Systems and methods of classifying user input are disclosed. The user input can be, for example, in the form of Roman characters. An ambiguous word (e.g., a word that is a non-pinyin word written in Roman characters and a valid pinyin word) can be identified in the user input. Contextual words (e.g., words adjacent to the ambiguous word) are classified as a pinyin context or a non-pinyin context. The ambiguous word is classified based on the context of the contextual words.

Abstract: Aspects directed to phrase generation are provided. A method is provided that includes identifying a plurality of phrase candidates from a plurality of text string entries in a corpus. For each phrase candidate: identifying a plurality of left contexts and a plurality of right contexts for the phrase candidate, each left context of the plurality of left contexts being a nearest unique feature to the right of the phrase candidate in a text string entry and each right context of the plurality of right contexts being the nearest unique feature to the right of the phrase candidate, and calculating a left context vector including a score for each left context feature and a right context vector including a score for each right context feature of the phrase candidate. A similarity is determined between pairs of phrase candidates using the respective left and right context vectors for each phrase candidate.

Abstract: Serving a search result is disclosed. A security fingerprint of a security configuration is generated. The security fingerprint is concatenated with a query having a search term and a search result is returned that includes both the search term and the security fingerprint.

Abstract: Aspects directed to phrase generation are provided. A method is provided that includes identifying a plurality of phrase candidates from a plurality of text string entries in a corpus. For each phrase candidate: identifying a plurality of left contexts and a plurality of right contexts for the phrase candidate, each left context of the plurality of left contexts being a nearest unique feature to the right of the phrase candidate in a text string entry and each right context of the plurality of right contexts being the nearest unique feature to the right of the phrase candidate, and calculating a left context vector including a score for each left context feature and a right context vector including a score for each right context feature of the phrase candidate. A similarity is determined between pairs of phrase candidates using the respective left and right context vectors for each phrase candidate.

Abstract: A method and system for implementing zero copy transmission of streaming media data are disclosed in the present invention, and the method and system are based on Linux network protocol stack. The method comprises: when a streaming media server receives a data request from a user equipment, it performs a system call of data transmission, reading the streaming media data out from the disk space and writing it into a user data buffer; packaging the streaming media data stored in the user data buffer as real-time transmission protocol packets which are transmitted applying streaming media packets whose head and load are separated. The method and system of the present invention sufficiently use the DMA function and SG (Scatter/Gather) function of a network card to implement zero-copy transmission of the streaming media data.

Abstract: Systems and methods of classifying user input are disclosed. The user input can be, for example, in the form of Roman characters. An ambiguous word (e.g., a word that is a non-pinyin word written in Roman characters and a valid pinyin word) can be identified in the user input. Contextual words (e.g., words adjacent to the ambiguous word) are classified as a pinyin context or a non-pinyin context. The ambiguous word is classified based on the context of the contextual words.

Abstract: Systems and methods to process and translate pinyin to Chinese characters and words are disclosed. A Chinese language model is trained by extracting unknown character strings from Chinese inputs, e.g., documents and/or user inputs/queries, determining valid words from the unknown character strings, and generating a transition matrix based on the Chinese inputs for predicting a word string given the context. A method for translating a pinyin input generally includes generating a set of Chinese character strings from the pinyin input using a Chinese dictionary including words derived from the Chinese inputs and a language model trained based on the Chinese inputs, each character string having a weight indicating the likelihood that the character string corresponds to the pinyin input. An ambiguous user input may be classified as non-pinyin or pinyin by identifying an ambiguous pinyin/non-pinyin ASCII word in the user input and analyzing the context to classify the user input.

Abstract: Systems and methods to process and correct spelling errors for non-Roman based words such as in Chinese, Japanese, and Korean languages using a rule-based classifier and a hidden Markov model are disclosed. The method generally includes converting an input entry in a first language such as Chinese to at least one intermediate entry in an intermediate representation, such as pinyin, different from the first language, converting the intermediate entry to at least one possible alternative spelling or form of the input in the first language, and determining that the input entry is either a correct or questionable input entry when a match between the input entry and all possible alternative spellings to the input entry is or is not located, respectively. The questionable input entry may be classified using, for example, a transformation rule based classifier based on transformation rules generated by a transformation rules generator.

Abstract: Systems and methods to process and translate pinyin to Chinese characters and words are disclosed. A Chinese language model is trained by extracting unknown character strings from Chinese inputs, e.g., documents and/or user inputs/queries, determining valid words from the unknown character strings, and generating a transition matrix based on the Chinese inputs for predicting a word string given the context. A method for translating a pinyin input generally includes generating a set of Chinese character strings from the pinyin input using a Chinese dictionary including words derived from the Chinese inputs and a language model trained based on the Chinese inputs, each character string having a weight indicating the likelihood that the character string corresponds to the pinyin input. An ambiguous user input may be classified as non-pinyin or pinyin by identifying an ambiguous pinyin/non-pinyin ASCII word in the user input and analyzing the context to classify the user input.