Predicting sentence using N-gram language model for Nepali language
Date
2012
Authors
K.C., Ananda
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Computer Science and Information Technology
Abstract
Sentence completion is a real time ubiquitous feature directed to predict a succeeding
words sequence, an appropriate completion of a given initial text fragment. Sentence
completion able a user to retrieve desired information with little knowledge over
exact keywords and with least typing efforts. Under statistical method, this work will
deal with N-gram method to predict the remaining part of sentence for Nepali language
using Viterbi as a decoding algorithm. By analyzing the result of this work, Trigram
Prediction Model is more accurate than Bigram Prediction Model. To get the best result,
this work recommends taking a large corpus with sufficient repetition of words.
Description
Keywords
Linguistic analysis, Nepali language