Abstract: A method, system and a computer program product for an automated interpretation and/or translation are disclosed. An automated interpretation and/or translation occurs by receiving language-based content from a user. The received language-based content is processed to interpret and/or translate the received language-based content into a target language. Also, a presence of a cultural sensitivity in the received language-based content is detected. Further, an appropriate guidance for dealing with the detected cultural sensitivity is provided.

Abstract: A method, system and a computer program product for an automated interpretation and translation are disclosed. An automated interpretation occurs by receiving language-based content from a user. The received language-based content is processed to interpret the received language-based content into a target language. Also, a presence of a cultural sensitivity in the received language-based content is detected. Further, an appropriate guidance for dealing with the detected cultural sensitivity is provided.

Abstract: A method, system and a computer program product for an automated interpretation and translation are disclosed. An automated interpretation occurs by receiving language-based content from a user. The received language-based content is processed to interpret the received language-based content into a target language. Also, a presence of a cultural sensitivity in the received language-based content is detected. Further, an appropriate guidance for dealing with the detected cultural sensitivity is provided.

Abstract: Methods, systems and computer program products for implementing a mere-parser are disclosed. Text data is processed to generate one or more parse items. A boundary based attribute associated with one of the parse items is identified, and the identified mere attribute is associated with one or more of the remaining parse items that is not blocked from being associated with the boundary based attribute.

Abstract: A programmed implementation for automatically assigning medical codes (including diagnosis, procedure, and level of service—i.e., evaluation and management (EM)—codes) to computer readable physician notes using natural language processing. A system allows hospitals, physician management groups, and medical billing companies to automatically determine and assign the medical codes that are the basis of reimbursement for medical services. The proposed implementation can be in place of human medical coders who otherwise would be employed to determine and assign these codes. Implementation requires only minor modifications to the traditional data-flow and allows for major improvements in throughput and timeliness of billing. Further, the present scheme enables the collection of other demographic and clinical information that resides in physician notes, but that are currently too expensive and time consuming to extract by means of a human workforce.