HMS: A Predictive Text Entry Method using Bigrams
Hasselgren, Jon LU ; Montnemery, Erik ; Svensson, Markus and Nugues, Pierre LU
(2003)
Workshop on Language Modeling for Text Entry Methods, 10th Conference of the European Chapter of the Association of Computational Linguistics
p.43-49
- Abstract
- Due to the emergence of SMS messages, the significance of effective text entry on limited-size keyboards has increased. In this paper, we describe and discuss a new method to enter text more efficiently using a mobile telephone keyboard. This method, which we called
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... (More) - Due to the emergence of SMS messages, the significance of effective text entry on limited-size keyboards has increased. In this paper, we describe and discuss a new method to enter text more efficiently using a mobile telephone keyboard. This method, which we called
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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/748311
- author
- Hasselgren, Jon
LU
; Montnemery, Erik
; Svensson, Markus
and Nugues, Pierre
LU
- organization
- publishing date
- 2003
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the Workshop on Language Modeling for Text Entry Methods
- pages
- 43 - 49
- conference name
- Workshop on Language Modeling for Text Entry Methods, 10th Conference of the European Chapter of the Association of Computational Linguistics
- conference dates
- 2003-04-14
- language
- English
- LU publication?
- yes
- id
- 07d733ff-baef-4b4a-ba37-9bc7a0b5f8d0 (old id 748311)
- date added to LUP
- 2016-04-04 13:37:24
- date last changed
- 2021-05-05 10:25:54
@inproceedings{07d733ff-baef-4b4a-ba37-9bc7a0b5f8d0,
abstract = {{Due to the emergence of SMS messages, the significance of effective text entry on limited-size keyboards has increased. In this paper, we describe and discuss a new method to enter text more efficiently using a mobile telephone keyboard. This method, which we called<br/><br>
HMS, predicts words from a sequence of keystrokes using a dictionary and a function combining bigram frequencies<br/><br>
and word length.<br/><br>
<br/><br>
We implemented the HMS text entry method on a software-simulated mobile telephone keyboard and we compared it<br/><br>
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<br/><br>
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.}},
author = {{Hasselgren, Jon and Montnemery, Erik and Svensson, Markus and Nugues, Pierre}},
booktitle = {{Proceedings of the Workshop on Language Modeling for Text Entry Methods}},
language = {{eng}},
pages = {{43--49}},
title = {{HMS: A Predictive Text Entry Method using Bigrams}},
url = {{https://lup.lub.lu.se/search/files/6165478/936912.pdf}},
year = {{2003}},
}