TAILIEUCHUNG - Báo cáo khoa học: "The effect of domain and text type on text prediction quality"

Text prediction is the task of suggesting text while the user is typing. Its main aim is to reduce the number of keystrokes that are needed to type a text. In this paper, we address the influence of text type and domain differences on text prediction quality. By training and testing our text prediction algorithm on four different text types (Wikipedia, Twitter, transcriptions of conversational speech and FAQ) with equal corpus sizes, we found that there is a clear effect of text type on text prediction quality: training and testing on the same text type gave percentages of saved. | The effect of domain and text type on text prediction quality Suzan Verberne Antal van den Bosch Helmer Strik Lou Boves Centre for Language Studies Radboud University Nijmegen Abstract Text prediction is the task of suggesting text while the user is typing. Its main aim is to reduce the number of keystrokes that are needed to type a text. In this paper we address the influence of text type and domain differences on text prediction quality. By training and testing our text prediction algorithm on four different text types Wikipedia Twitter transcriptions of conversational speech and FAQ with equal corpus sizes we found that there is a clear effect of text type on text prediction quality training and testing on the same text type gave percentages of saved keystrokes between 27 and 34 training on a different text type caused the scores to drop to percentages between 16 and 28 . In our case study we compared a number of training corpora for a specific data set for which training data is sparse questions about neurological issues. We found that both text type and topic domain play a role in text prediction quality. The best performing training corpus was a set of medical pages from Wikipedia. The second-best result was obtained by leave-one-out experiments on the test questions even though this training corpus was much smaller 2 672 words than the other corpora Million words . 1 Introduction Text prediction is the task of suggesting text while the user is typing. Its main aim is to reduce the number of keystrokes that are needed to type a text thereby saving time. Text prediction algorithms have been implemented for mobile devices office software Open Office Writer search engines Google query completion and in special needs software for writers who have difficulties typing Garay-Vitoria and Abascal 2006 . In most applications the scope of the prediction is the completion of the current word hence the often-used term word completion . The most .

• Báo cáo khoa học
• The effect of domain
• text type on text prediction quality
• Suzan Verberne
• Antal van den Bosch
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