Natural Language, Semantic Analysis and Interactive Fiction
نویسنده
چکیده
This is an account of theoretical issues which came out, almost unbidden, from a practical test of the following hypothesis: that the natural language in which to write interactive fiction is natural language. IF is a form of creative writing impossible before the development of computing, but whose 30-year history has seen a f lourishing of experimentation if not mainstream acceptance (except in an early commercial phase): the author creates an imaginary textual world which can actively be explored by a “reader”, or “player”, directing the actions of a protagonist. Such works have hitherto been created as if computer programs, using specially adapted programming languages (see for instance Nelson (2001)), but the Inform 7 project aims to replace such syntax with natural language: specifically, a subset of English. This change proved far more radical than had initially been expected, and it became clear that semantic analysis and related branches of linguistics were of great relevance to practical issues of how design systems for IF should work. The Inform 7 project began in 2002 as an experimental higher-level layer on top of the existing Inform system for designing IF, now in use since 1993. At time of writing, an application for Mac OS X and Windows is just about to be published as a public beta.
منابع مشابه
Comments on Nonfinite Adverbial Patterns in English Prose Fiction: A Simple Model for Analysis and Use
This study aims to present an accessible model of some frequent nonfinite adverbial types occurring in English prose fiction. As its main syntactic argument, it recognizes that these adverbials are mostly elliptical in that there are some dependent-clause markers one can assume to be implicit when supplying those elements back into the clause complex. Some comments are provided at the end on th...
متن کاملStudies in Ethnopragmatics, Cultural Semantics, and Intercultural Communication: Ethnopragmatics and Semantic Analysis, Lauren Sadow, Bet Peeters & Kerry Mullan (Eds.) (2019), Springer, ISBN 978-981-32-9982-5
متن کامل
Large-Scale Interactive Visualizations of Nearly 12, 000 Games
We present three large-scale interactive visualizations of nearly 12,000 digital games. These were built using techniques from natural language processing and machine learning, namely latent semantic analysis, clustering analysis, and multidimensional scaling. In this paper, we briefly describe these visualizations and some of the insights that they offer. All three are hosted online as interac...
متن کاملLarge-Scale Interactive Visualizations of Nearly 12,000 Digital Games
We present three large-scale interactive visualizations of nearly 12,000 digital games. These were built using techniques from natural language processing and machine learning, namely latent semantic analysis, clustering analysis, and multidimensional scaling. In this paper, we briefly describe these visualizations and some of the insights that they offer. All three are hosted online as interac...
متن کاملDeveloping a Drama Management Architecture for Interactive Fiction Games
A growing research community is working towards employing drama management components in interactive story-based games. These components gently guide the story towards a narrative arc that improves the player’s experience. In this paper we present our Drama Management architecture for real-time interactive story games that has been connected to a real graphical interactive story based on the An...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005