@inproceedings{4b99b9c2c80a400aa17e64c3679c6b27,
title = "Basic word completion and prediction for hebrew",
abstract = "This research aims to improve keystroke savings for completion and prediction of Hebrew words. This task is very important to augmentative and alternative communication systems as well as to search engines, short messages services, and mobile phones. The proposed model is composed of Hebrew corpora containing 177M words, a morphological analyzer, various n-gram Hebrew language models and other tools. The achieved keystroke savings rate is higher than those reported in a previous Hebrew word prediction system and previous word prediction systems in other languages. Two main findings have been found: the larger the corpus that the language model is trained on, the better predictions that are achieved and a morphological analyzer helps only when the language model is based on only one corpus.",
keywords = "Augmentative and alternative communication, Corpora, Hebrew, Keystroke savings, Language models, Word completion, Word prediction",
author = "Yaakov Hacohen-Kerner and Izek Greenfield",
year = "2012",
doi = "10.1007/978-3-642-34109-0_25",
language = "אנגלית",
isbn = "9783642341083",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "237--244",
booktitle = "String Processing and Information Retrieval - 19th International Symposium, SPIRE 2012, Proceedings",
address = "גרמניה",
note = "19th International Symposium on String Processing and Information Retrieval, SPIRE 2012 ; Conference date: 21-10-2012 Through 25-10-2012",
}