Abstract: Electronic organiser (10) with a calendar (11) in which appointments at least according to date, time and an individual description, for example a person to be visited, are variable. If the organiser (10) is provided with an interface (22) which can exchange data in respect of the appointments with an interface (22) existing on another device (21), the data recorded in the calendar (11) can be used to run the other device or the electronic organiser (10) can be controlled by the other device. Thus for example data recorded in the calendar (11) can be used by a navigation system for faster input of the destination, or for example departure appointments can be changed by the other device according to the traffic or other situations.

Abstract: The invention relates to a method of identifying a language in which a text is composed in the form of a string of characters, and also to a method of controlling a speech reproduction unit and to a communication device. To be able to carry out language identification with little expenditure, it is provided according to the invention that a frequency distribution (h1(x), h2(x,y), h3(x,y,z)) of letters in the text is ascertained, the ascertained frequency distribution (h1(x), h2(x,y), h3(x,y,z)) is compared with corresponding frequency distributions (l1(x), l2(x,y), l3(x,y,z)) of available languages, in order to ascertain similarity factors (s1, S2, s3) which indicate the similarity of the language of the text with the available languages, and the language for which the ascertained similarity factor (S1, S2, S3) is the greatest is established as the language of the text.

Abstract: The invention relates to a method of identifying a language in which a text is composed in the form of a string of characters, and also to a method of controlling a speech reproduction unit and to a communication device. To be able to carry out language identification with little expenditure, it is provided according to the invention that a frequency distribution (h1(x), h2(x,y), h3(x,y,z)) of letters in the text is ascertained, the ascertained frequency distribution (h1(x), h2(x,y), h3(x,y,z)) is compared with corresponding frequency distributions (l1(x), l2(x,y), l3(x,y,z)) of available languages, in order to ascertain similarity factors (s1, S2, s3) which indicate the similarity of the language of the text with the available languages, and the language for which the ascertained similarity factor (S1, S2, S3) is the greatest is established as the language of the text.