Shakespearean spatial rules
نویسندگان
چکیده
Many games and simulations utilize modularized low-level code to move characters about in an environment. This requires extensive technical skill to translate basic high-level actions, as well as extensive time to write code, which includes very detailed instructions on what and when actions will occur across all agents. Other options exist such as mocap files; however, most are not highly dynamic, concerned with spatial positioning, or require human intervention to solve the problem. This paper presents an approach that utilizes play-scripts and natural language processing, along with some spatial reasoning rules to control characters in a virtual environment. Rules around grouping of characters, conversational space, theatre, and general behaviors are key in fully interpreting a play-script into movements on stage. These rules help us to achieve similar blocking for the Shakespearian play Hamlet, performed by virtual characters, as the director Sir Gielgud produced for his 1964 production of Hamlet.
منابع مشابه
Automatic Parsing for Shakespearean Meters
Hanson and Kiparsky (1996, H&K) lay out a formal grammar for Shakespearean iambic pentameter defined by a small set of parameter settings, framed as constraints. In this paper, I investigate the possibility that different sub-genres of Shakespeare’s writing vary, categorically or on a gradient, in their settings for these parameters. To this end, I adapt the still under development Anttila et a...
متن کاملShakespeare and the Ethics of Appropriation
The 2012 London Olympics ushered in a new era of global Shakespearean appropriation. The Globe-to-Globe festival, held in conjunction with the Olympics, brought theater companies from many parts of the world to the United Kingdom to perform Shakespeare in their own languages (“37 plays in 37 languages”). Globe-to-Globe suggested the ethical aspirations of such ambitious Shakespearean events as ...
متن کاملShakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models
Variations in writing styles are commonly used to adapt the content to a specific context, audience, or purpose. However, applying stylistic variations is still largely a manual process, and there have been little efforts towards automating it. In this paper we explore automated methods to transform text from modern English to Shakespearean English using an end to end trainable neural model wit...
متن کامل