HMS: A Predictive Text Entry Method using Bigrams
Author
Summary, in English
HMS, predicts words from a sequence of keystrokes using a dictionary and a function combining bigram frequencies
and word length.
We implemented the HMS text entry method on a software-simulated mobile telephone keyboard and we compared it
to a widely available commercial system. We trained the language model on a corpus of Swedish news and we evaluated the method. Although the training corpus does not reflect the language used in SMS messages, the results show a decrease by 7 to 13 percent in the number
of keystrokes needed to enter a text. These figures are very encouraging even though the implementation can be optimized in several ways. The HMS text entry method can easily be transferred to other languages.
Publishing year
2003
Language
English
Pages
43-49
Publication/Series
Proceedings of the Workshop on Language Modeling for Text Entry Methods
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Document type
Conference paper
Topic
- Computer Science
Conference name
Workshop on Language Modeling for Text Entry Methods, 10th Conference of the European Chapter of the Association of Computational Linguistics
Conference date
2003-04-14
Status
Published