Text-till-talsystem blir allt vanligare i vardagen, och det forskas även en hel del på utvecklingen av tal-till-talöversättningssystem. Många företag använder sig i allt större utsträckning av telefontjänster där automatiska system med syntetiskt tal och taligenkänning ersätter människor. För att vi som konsumenter ska känna att det är bekvämt att nyttja dessa tjänster och förstå budskapen är det viktigt att dessa syntetiska röster låter så naturliga som möjligt. Det som gör en röst naturlig är dess prosodi, dvs.dess ickesegmentella aspekter såsom röstens intonation, intensitet och tempo, för att nämna några. Prosodin har inte endast lingvistiska funktioner utan den signalerar även känslor och attityder hos talaren.

The aim of this master thesis is to investigate how the OPACs Online Public Access Catalogue used by public libraries have adapted the features and possibilities offered by online catalogues, for the purpose of searching for fiction. This is done by comparing five OPACs to Amazon.com, an online bookstore. The questions investigated are: Have the OPACs developed from the principles of the card catalogue and adapted to the features and possibilities offered by online catalogues, when searching for fiction? Can the library catalogue provide the same features as Amazon.com, when searching for fiction? How do the OPACs use the resources that online catalogues provide when searching for fiction, compared with Amazon.com? The thesis is based on two qualitative studies. The first study presents five OPACs from different library systems and examines which features they have in common with Amazon.com.

The thesis concerns the use of classification schemes for organising resources in subject-based hierarchical search-services on the web. The aim is to investigate the different kinds of classification that are used, which fall into two groups: established respectively new classification schemes. This is attained by studying literature and the websites of each search-service. The prospects for using classification in a web-environment are discussed and divided into three major groups: browsing, control and cross-classification. One question at issue concerns how an established scheme manages to organise web-resources and whether this classification differs from the classification of new schemes and in what way.