A method for inputting a message on a terminal. The method is performed by a processing unit of the terminal and/or a processing unit of a server connected to the terminal and includes: identifying a primary language for the message; detecting the input of a part of the message in a secondary language, different from the primary language; and translating into the primary language the part inputted in the secondary language.

A method for inputting a message on a terminal. The method is performed by a processing unit of the terminal and/or a processing unit of a server connected to the terminal and includes: identifying a primary language for the message; detecting the input of a part of the message in a secondary language, different from the primary language; and translating into the primary language the part inputted in the secondary language.

Systems and methods for providing user-controlled access to prescribed medications are provided. A cloud-based prescription database includes prescriptions, each associated with a unique patient identifier, locations of pharmacies, and available stock for the pharmacies. A unique patient identifier is received from a user device and the related prescriptions are retrieved from the database and displayed for user selection. Pharmacies which are geographically proximate to a location of the given user device which report availability of the medication associated with the user selected prescription are displayed at a map at the given user device.

Systems and methods for providing user-controlled access to prescribed medications are provided. A cloud-based prescription database includes prescriptions, each associated with a unique patient identifier, locations of pharmacies, and available stock for the pharmacies. A unique patient identifier is received from a user device and the related prescriptions are retrieved from the database and displayed for user selection. Pharmacies which are geographically proximate to a location of the given user device which report availability of the medication associated with the user selected prescription are displayed at a map at the given user device.

An electronic device may identify a language of an input text string, convert the input text string into a standard text string based on the language of the input text string and a standard conversion table, convert the standard text string into a code string, generate a plurality of first vectors based on an order of codes included in the code string and two consecutive codes included in the code string, compare the plurality of first vectors with a plurality of index vectors and identify a plurality of second vectors having a similarity, which is greater than or equal to a threshold, and provide an output text string corresponding to the plurality of second vectors. The language of the input text string may be different from a language of the output text string. Pronunciation of the input text string may correspond to pronunciation of the output text string.

An electronic device may identify a language of an input text string, convert the input text string into a standard text string based on the language of the input text string and a standard conversion table, convert the standard text string into a code string, generate a plurality of first vectors based on an order of codes included in the code string and two consecutive codes included in the code string, compare the plurality of first vectors with a plurality of index vectors and identify a plurality of second vectors having a similarity, which is greater than or equal to a threshold, and provide an output text string corresponding to the plurality of second vectors. The language of the input text string may be different from a language of the output text string. Pronunciation of the input text string may correspond to pronunciation of the output text string.

A natural language processing method, comprising: receiving multiple input words; and reducing the multiple words into one or more subject word data structures according to sets stored in a database, wherein one of the subject word data structures includes a first input word and a second input words among the input words, wherein one of the sets includes a compatible relation between the first input word and the second input word, wherein the compatible relation between the first input word and the second word includes a compatible property for denoting an intensity representing occurrences of the first input word and the second word in a training corpus.

A natural language processing method, comprising: receiving multiple input words; and reducing the multiple words into one or more subject word data structures according to sets stored in a database, wherein one of the subject word data structures includes a first input word and a second input words among the input words, wherein one of the sets includes a compatible relation between the first input word and the second input word, wherein the compatible relation between the first input word and the second word includes a compatible property for denoting an intensity representing occurrences of the first input word and the second word in a training corpus.

The present disclosure provides system and method for identification and classification of multilingual messages that would be considered inappropriate in an online interactive portal. The system may include processors to generate a set of data of intended inappropriate multilingual messages to train classification model. The set of data with labels is classified by assigning unique identifiers. The system includes pre-processing module to eliminate unwanted characters from set of data to train classification model. The classification model may be trained by multilingual representation module based at least in part on set of data with labels. The classification model determines whether set of data with one or more labels includes intended inappropriate multilingual messages. Furthermore, feedback loop module is utilised to retrain classification model recurrently to update set of data. The system is formed on Convolutional Neural Network (CNN) configured to classify multilingual messages as inappropriate in online interactive portal.

The present disclosure provides system and method for identification and classification of multilingual messages that would be considered inappropriate in an online interactive portal. The system may include processors to generate a set of data of intended inappropriate multilingual messages to train classification model. The set of data with labels is classified by assigning unique identifiers. The system includes pre-processing module to eliminate unwanted characters from set of data to train classification model. The classification model may be trained by multilingual representation module based at least in part on set of data with labels. The classification model determines whether set of data with one or more labels includes intended inappropriate multilingual messages. Furthermore, feedback loop module is utilised to retrain classification model recurrently to update set of data. The system is formed on Convolutional Neural Network (CNN) configured to classify multilingual messages as inappropriate in online interactive portal.