A New Computational Schema for Euphonic Conjunctions in Sanskrit Processing

Automated language processing is central to the drive to enable facilitated referencing of increasingly available Sanskrit E-texts. The first step towards processing Sanskrit text involves the handling of Sanskrit compound words that are an integral part of Sanskrit texts. This firstly necessitates the processing of euphonic conjunctions or sandhi-s, which are points in words or between words, at which adjacent letters coalesce and transform. The ancient Sanskrit grammarian P??ini’s codification of the Sanskrit grammar is the accepted authority in the subject. His famed s?tra-s or aphorisms, numbering approximately four thousand, tersely, precisely and comprehensively codify the rules of the grammar, including all the rules pertaining to sandhi-s. This work presents a fresh new approach to processing sandhi-s in terms of a computational schema. This new computational model is based on P??ini’s complex codification of the rules of grammar. The model has simple beginnings and is yet powerful, comprehensive and computationally lean

AI at Ames: Artificial Intelligence research and application at NASA Ames Research Center, Moffett Field, California, February 1985

Charts are given that illustrate function versus domain for artificial intelligence (AI) applications and interests and research area versus project number for AI research. A list is given of project titles with associated project numbers and page numbers. Also, project descriptions, including title, participants, and status are given

Instructional Technology in Sanskrit

India is the second largest mobile phone user with over 900 million users in the world Since India is a country where most of the students have access to cell phones instructors should be harnessing this power to enrich language education experience and bring memorable experiences to the Sanskrit language classroom Sanskrit teaching could be promoted with advanced multimedia and hypermedia For over a decade the new media NMC has been charting the landscape of emerging technologies in teaching learning and creative inquiry on a global scale Since Sanskrit is the most suitable language for computer instructors could use emerging technologies to train the languag

Question Answering with Subgraph Embeddings

This paper presents a system which learns to answer questions on a broad range of topics from a knowledge base using few hand-crafted features. Our model learns low-dimensional embeddings of words and knowledge base constituents; these representations are used to score natural language questions against candidate answers. Training our system using pairs of questions and structured representations of their answers, and pairs of question paraphrases, yields competitive results on a competitive benchmark of the literature

Avatars Going Mainstream: Typology of Tropes in Avatar-Based Storytelling Practices

Due to the growing popularity of video games, gaming itself has become a shared experience among media audiences worldwide. The phenomenon of avatar-based games has led to the emergence of new storytelling practices. The paper proposes a typology of tropes in these avatar-based narratives focusing on non-game case studies. Suggested tropes are also confronted with the latest research on avatars in the area of game studies and current knowledge of the issues concerning the player-avatar relationship. Some of the most popular misconceptions regarding the gameplay experience and its representation in non-game media are exposed as a result of this analysis. The research confirms that popular culture perceives gaming experience as closely related to the player identity, as the latter inspires new genres of non-game narratives