System and methods for a computerized machine translation of a document in a source language to a target language, where the translation is guided by additional inputs, which are one or more reference documents in the source language and their corresponding reference translation(s) in the target language, or are links thereto.

System and methods for a computerized machine translation of a document in a source language to a target language, where the translation is guided by additional inputs, which are one or more reference documents in the source language and their corresponding reference translation(s) in the target language, or are links thereto.

Apparatus and methods to decipher and analyze hidden/figurative meanings in communications using contextual analysis are provided. The apparatus and methods may include generating an initial list of slang words and phrases and their corresponding hidden/figurative meanings, searching the Internet for new slang words and phrases, determining the corresponding hidden/figurative meanings of the new slang words and phrases, and contextually analyzing a set of communications for hidden/figurative meaning. The apparatus and methods may include generating an alert if a relevant hidden/figurative meaning is found in the set of communications.

Apparatus and methods to decipher and analyze hidden/figurative meanings in communications using contextual analysis are provided. The apparatus and methods may include generating an initial list of slang words and phrases and their corresponding hidden/figurative meanings, searching the Internet for new slang words and phrases, determining the corresponding hidden/figurative meanings of the new slang words and phrases, and contextually analyzing a set of communications for hidden/figurative meaning. The apparatus and methods may include generating an alert if a relevant hidden/figurative meaning is found in the set of communications.

A system and method for providing a response to at least one code-mix user query on a digital platform. The method encompasses receiving, by a transceiver unit, the at least one code-mix user query at the digital platform. The method thereafter comprises translating dynamically, by a translation engine, the at least one code-mix user query in a first language based on a pre-trained and fine-tuned sub-system, wherein: the sub-system is pre-trained based on a pre-existing first language corpus, and the sub-system is fine-tuned based on a parallel corpus of one or more pre-existing code-mix user queries. Further the method encompasses identifying and providing, by a response generator, the response to the at least one code-mix user query based at least on the dynamic translation of the at least one code-mix user query.

A system and method for providing a response to at least one code-mix user query on a digital platform. The method encompasses receiving, by a transceiver unit, the at least one code-mix user query at the digital platform. The method thereafter comprises translating dynamically, by a translation engine, the at least one code-mix user query in a first language based on a pre-trained and fine-tuned sub-system, wherein: the sub-system is pre-trained based on a pre-existing first language corpus, and the sub-system is fine-tuned based on a parallel corpus of one or more pre-existing code-mix user queries. Further the method encompasses identifying and providing, by a response generator, the response to the at least one code-mix user query based at least on the dynamic translation of the at least one code-mix user query.

Various embodiments provide methods and devices for utilizing content conversion for the communication of content. In an embodiment, method, performed by a user device, includes receiving a user input comprising one or more user preferences to facilitate at least one output content; Further, the method includes receiving at least one input content from at least one content source based on the one or more user preferences. Thereafter, the method includes separating the at least one input content from the at least one content source using delimiters, and generating the at least one output content from the at least one input content based on one or more content characteristics. The at least one output content has data size less than the data size of the at least one input content. Furthermore, the method includes transmitting, the at least one output content to another user device.

Various embodiments provide methods and devices for utilizing content conversion for the communication of content. In an embodiment, method, performed by a user device, includes receiving a user input comprising one or more user preferences to facilitate at least one output content; Further, the method includes receiving at least one input content from at least one content source based on the one or more user preferences. Thereafter, the method includes separating the at least one input content from the at least one content source using delimiters, and generating the at least one output content from the at least one input content based on one or more content characteristics. The at least one output content has data size less than the data size of the at least one input content. Furthermore, the method includes transmitting, the at least one output content to another user device.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Topic Engine. The Topic Engine captures a plurality of content identifier sequences. Each respective sequence represents an order at which a corresponding user account accessed content. The Topic Engine generates a plurality of clusters. Each cluster is associated with respective content identifiers appearing within a proximity to each other across the plurality of content identifier sequences of different user accounts. The Topic Engine obtains one or more sample content identifiers from at least one cluster via sampling the cluster. The Topic Engine extracts keywords from content represented by the one or more sampled content identifiers. The Topic Engine identifies a topic for the cluster based on the one or more extracted keywords.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Topic Engine. The Topic Engine captures a plurality of content identifier sequences. Each respective sequence represents an order at which a corresponding user account accessed content. The Topic Engine generates a plurality of clusters. Each cluster is associated with respective content identifiers appearing within a proximity to each other across the plurality of content identifier sequences of different user accounts. The Topic Engine obtains one or more sample content identifiers from at least one cluster via sampling the cluster. The Topic Engine extracts keywords from content represented by the one or more sampled content identifiers. The Topic Engine identifies a topic for the cluster based on the one or more extracted keywords.