文字・単語マルコフ連鎖モデルによるかな漢字変換候補の絞り込み法
スポンサーリンク
概要
- 論文の詳細を見る
There are many ressearches on the method which translates the non-segmented "Kana" sentences into the "kana"sentences. However，the amount of computer memories required for the translating processing explodes in many times， because the number of combination of candidates for ''kanji -kana" words grows in proportion to the increasing of the length of the sentence. The memory explosion can be prevented if a sentence is separated into "bunsetsu". Up to now，an useful method for finding and correcting the provisionalboundaries，of "bunsetsu" using 2nd-order Markov model has been proposed. This paper proposes a method of reducing the 'bunsetsu" candidates of "Kanji-Kana" strings translated from the non-segmented ''kana bunsetsu"， using Markov models of character and word.
- 福井大学工学部の論文
福井大学工学部 | 論文
- 周期補正型繰返し制御法の提案--レピア式よこ糸挿入機構への適用を例として
- 中性子・ガンマ線を同時利用した産業用密度計の研究
- ガンマ線散乱を利用した産業用レベル計測の研究
- 滑り周波数制御方式による誘導電動機のベクトル制御の2次抵抗温度変化の一補償法
- PWM制御アクティブフィルタの非干渉化2自由度制御法とその特性