- 1
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譚醍伐逵滓ｨｹ, 荳ｭ蜴溯｣穂ｺｺ, 鬥ｬ髱�.
繝代ち繝ｼ繝ｳ縺ｨ謨吝ｸｫ縺ゅｊ讖滓｢ｰ蟄ｦ鄙偵→邏�諤ｧ蛻�梵繧貞茜逕ｨ縺励◆繧ｦ繧ｧ繝悶→譁ｰ閨槭°繧峨�譬ｪ蠑冗嶌蝣ｴ縺ｫ髢｢繧上ｋ遏･隕狗佐蠕�.
諠��ｱ蜃ｦ逅�ｭｦ莨夂ｬｬ82蝗槫�蝗ｽ螟ｧ莨�, 2020.
- 2
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襍､豎滓ｶｼ螟ｪ.
讖滓｢ｰ蟄ｦ鄙偵ｒ逕ｨ縺�◆鬘樒ｾｩ隱槭�菴ｿ縺��縺代↓髢｢縺吶ｋ遏･隴倡佐蠕�.
蜊呈･ｭ隲匁枚, 魑･蜿門､ｧ蟄ｦ蟾･蟄ｦ驛ｨ遏･閭ｽ諠��ｱ蟾･蟄ｦ遘�, 2018.
- 3
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蜈�伐豬ｩ, 鮃ｲ蟆ｾ髫�.
讖滓｢ｰ蟄ｦ鄙偵→繝��繧ｿ繝槭う繝九Φ繧ｰ (螟ｧ隕乗ｨ｡繝��繧ｿ繝吶�繧ｹ縺九ｉ縺ｮ遏･隴倡佐蠕�).
莠ｺ蟾･遏･閭ｽ蟄ｦ莨夊ｪ�, Vol. 12, No. 4, pp. 505-512, jul 1997.
- 4
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Eric Sven Ristad.
Maximum entropy modeling for natural language.
In ACL/EACL Tutorial Program, Madrid, 1997.
- 5
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Masao Utiyama.
Maximum entropy modeling packagen: http://www.nict.go.jp/
x/x161/members/mutiyama/software.htmlmaxent, 2006.
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Masaki Murata, Kiyotaka Uchimoto, Masao Utiyama, Qing Ma, Ryo Nishimura,
Yasuhiko Watanabe, Kouichi Doi, and Kentaro Torisawa.
Using the maximum entropy method for natural language processing:
Category estimation, feature extraction, and error correction.
Cognitive Computation, Vol. 2, No. 4, pp. 272-279, 2010.
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Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean.
Distributed representations of words and phrases and their
compositionality.
Advances in Neural Information Processing Systems 26, p.
3111窶�3119, 2013.
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譚醍伐逵滓ｨｹ, 逾槫ｴ惹ｺｫ蟄�, 蜀��貂�ｲｴ, 鬥ｬ髱�, 莠穂ｽ仙次蝮�.
諢丞袖繧ｽ繝ｼ繝� msort :
諢丞袖逧�ｸｦ縺ｹ縺九∴謇区ｳ輔↓繧医ｋ霎樊嶌縺ｮ讒狗ｯ我ｾ九→繧ｿ繧ｰ縺､縺阪さ繝ｼ繝代せ縺ｮ菴懈�萓九→諠��ｱ謠千､ｺ繧ｷ繧ｹ繝�Β萓�.
閾ｪ辟ｶ險隱槫�逅�, Vol. 7, No. 1, pp. 51-66, 2000.
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Ebm縺ｮ縺溘ａ縺ｮ閾ｨ蠎顔稔蟄ｦ蜈･髢蜿｣蠎ｧ.
http://kamiyacho.org/ebm/ce201.html.
