<p>The number of text messages sent from mobile phones, has increased dramatically over the last few years. Along with that, we are witnessing a lot of new mobile portal services currently being developed. Many of these services rely on an ability to input text efficiently. The traditional phone keypad is ambiguous because each key encodes more than one letter. At present, the most common way to deal with this problem is using a stored dictionary to guess the intended input. </p><p>This thesis presents a new text entry strategy called Qtap. Instead of using a stored dictionary to guess the intended word, this method uses probabilities of letter sequences. New features that come with Qtap are the usage of the viterbi algorithm to decode input sequences and a non-alphabetic keypad. How the strategy and the keypad used by Qtap were developed, is described throughout the thesis. </p><p>Qtap is also compared to a dictionary-based method, t9, on a non-user level. The results show Qtap is performing well in many senses. The conclusion from this is that a further development of Qtap is motivated. </p><p>A discussion of various modifications and additions to the design, that may yield a performance improvement, is also included.</p>

The number of text messages sent from mobile phones, has increased dramatically over the last few years. Along with that, we are witnessing a lot of new mobile portal services currently being developed. Many of these services rely on an ability to input text efficiently. The traditional phone keypad is ambiguous because each key encodes more than one letter. At present, the most common way to deal with this problem is using a stored dictionary to guess the intended input. This thesis presents a new text entry strategy called Qtap. Instead of using a stored dictionary to guess the intended word, this method uses probabilities of letter sequences. New features that come with Qtap are the usage of the viterbi algorithm to decode input sequences and a non-alphabetic keypad. How the strategy and the keypad used by Qtap were developed, is described throughout the thesis. Qtap is also compared to a dictionary-based method, t9, on a non-user level. The results show Qtap is performing well in many senses. The conclusion from this is that a further development of Qtap is motivated. A discussion of various modifications and additions to the design, that may yield a performance improvement, is also included.

The concept 'mess-understanding' has circulated in online media and is so prevalent that it is now included in the Urban Dictionary. The folk concept of mess-understandings is a pun for misunderstandings arising in an online media context. Posting one's own or others' miscommunication and/or typographical errors has grown to be a popular way of sharing humor via cross-platform sharing on the Internet. The aim of this paper is to analyze short message service (SMS) dialogues shared in social media, with a special emphasis on those with the highest degree of 'shareability' and/or popularity. The study specifically focuses on understanding linguistic and communicative reasons behind these dialogues being treated as humorous by users. As such, the study aims to shed light upon current cultural conceptions of communication and humor. Data was collected from the photo sharing website Pinterest from users who had posted or reposted 'screen shots' from their own or others' SMS conversations. In order to collect as much valuable data as possible, a manual search strategy was developed with three different word strings which resulted in a corpus of 160 dialogues. Content analysis of the data revealed certain recurrent humor themes, such as allusions to sexual conduct or bodily functions, generation gaps, technology difficulties, and lexical ambiguity. / Begreppet ‘mess-förstånd’ har på senare tid cirkulerat på Internet och är nu så allmänt förekommande att det är inkluderat i Urban Dictionary. Mess-förstånd är en ordvits för missförstånd som förekommer på Internet. Att lägga upp sina egna eller andras misslyckade konversationer och/eller typografiska fel har utvecklats till ett populärt sätt att dela humor via olika plattformar på Internet. Syftet med den här uppsatsen är att analysera vilka lingvistiska mönster av SMS-missförstånd som finns, med speciell betoning på sådana som har den högsta graden av ‘delbarhet’ och/eller popularitet och vad det säger oss om rådande föreställningar om kommunikation och humor. Det empiriska materialet insamlades från fotodelningshemsidan Pinterest från användare som hade lagt upp eller återbrukat ‘skärmavbilder’ från sina egna eller andras SMS-konversationer. För att samla in så mycket värdefull data som möjligt användes en manuell sökstrategi med tre olika ordsträngar som resulterade i en korpus med 160 dialoger. Analyser av dialogerna visade på återkommande humorteman, exempelvis anspelningar på sexualitet eller kroppsliga funktioner, generationsklyftor, teknologiska svårigheter och lexikala tvetydligheter.