Evaluation of Vocal Communication in a Robot Collective

In this research, we attempt to design a model in which multiple robots communicate with an artificial proto-language whose symbols are vocally encoded letters of the Morse alphabet. We have shown that, as the robots have limited sensing and acting abilities, the communicated symbols of the proto-language differentiates from their original versions due to copying errors. We check the effects of two distinct environmental factors, namely the positional distance between the robots and the amount of noise in the environment. It is shown that both of these factors affect, in different ways, how accurately the presented proto-language can be accurately transmitted by the robots

Bir Robot Kolektifinde Ses ile Haberleşmenin Değerlendirilmesi

In this research, we attempt to design a model in which multiple robots communicate with an artificial proto-language whose symbols are vocally encoded letters of the Morse alphabet. We have shown that, as the robots have limited sensing and acting abilities, the communicated symbols of the proto-language differentiates from their original versions due to copying errors. We check the effects of two distinct environmental factors, namely the positional distance between the robots and the amount of noise in the environment. It is shown that both of these factors affect, in different ways, how accurately the presented proto-language can be accurately transmitted by the robots

Using finite state technology in a tool for linguistic exploration

Intelligent, interactive and pervasively accessible tools for providing information about elements of a language are crucial in learning a language, especially in an advanced secondary language learning setting and learning for linguistic exploration. The paper describes a prototype implementation of a tool that provides intelligent, active and interactive tools for helping linguistics students inquire and learn about lexical and syntactic properties of words and phrases in Turkish text. The tool called LingBrowser uses extensive finite state language processing technology to provide instantaneous information about morphological, segmental, pronunciation properties about the words in any real text. Additional resources also provide access to semantic properties of (root) words