46件 （「artificial word」）

中国人日本語学習者は語彙認知において逐次的に韻律情報を用いるか? : 視線計測による検証 論文

尹 帥・里 麻奈美・羅 穎芸・五十嵐 陽介・酒井 弘 ·2015 ·『音声研究』　19(3)　pp. 1-12

doi:10.24467/onseikenkyu.19.3_1

Personal Keyword Extraction from the Web 論文

Junichiro Mori・Yutaka Matsuo・Mitsuru Ishizuka ·2005-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　20　pp. 337-345

doi:10.1527/tjsai.20.337

Placement of Nouns in a Multi-Dimensional Space Based on Words' Cooccurrency 論文

Yoichi Tomiura・Shosaku Tanaka・Toru Hitaka ·2004-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　19　pp. 1-9

doi:10.1527/tjsai.19.1

Learning to Shift the Polarity of Words for Sentiment Classification 論文

Daisuke Ikeda・Hiroya Takamura・Manabu Okumura ·2010-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　25(1)　pp. 50-57

doi:10.1527/tjsai.25.50

Keyword Extraction from a Document using Word Co-occurrence Statistical Information 論文

Yutaka Matsuo・Mitsuru Ishizuka ·2002-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　17(3)　pp. 217-223

doi:10.1527/tjsai.17.217

Origin of the word-initial consonant system of the Japanese-Ryukyuan (JR) language from the Oceanic consonant system: elucidation by JR-Oceanic consonant correspondence laws 論文

Koji Ohnishi ·2009-12-01 ·『Artificial Life and Robotics』　14(4)　pp. 545-550

doi:10.1007/s10015-009-0742-6

Learning Lexicons from Spoken Utterances Based on Statistical Model Selection 論文

Ryo Taguchi・Naoto Iwahashi・Kotaro Funakoshi・Mikio Nakano・Takashi Nose・Tsuneo Nitta ·2010-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　25(4)　pp. 549-559

doi:10.1527/tjsai.25.549

Onomatoperori : Ranking Cooking Recipes by using Onomatopoeias which Express their Tastes and Textures 論文

Chiemi Watanabe・Satoshi Nakamura ·2015-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　30(1)　pp. 340-352

doi:10.1527/tjsai.30.340

Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study 論文

Hirotaka Kameko・Shinsuke Mori・Yoshimasa Tsuruoka ·2015-01-01 ·pp. 2298-2303

doi:10.18653/v1/d15-1277

Automatic Detection of Metonymic Expressions Using Associative Relation between Words 論文

Takehiro Teraoka・Ryuichiro Higashinaka・Jun Okamoto・Shun Ishizaki ·2013-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　28(3)　pp. 335-346

doi:10.1527/tjsai.28.335

An Event Information Retrieval Method Using Features of Keyword Appearance in Newspaper Corpora 論文

Hiromi Itoh Ozaku・Masao Utiyama・Hitoshi Isahara・Yasuyuki Kono・Masatsugu Kidode ·2004-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　19　pp. 225-233

doi:10.1527/tjsai.19.225

Word Co-occurrence Analysis with Utterance Pairs for Spoken Dialogue System 論文

Yuka Kobayashi・Daisuke Yamamoto・Miwako Doi ·2013-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　28(2)　pp. 141-148

doi:10.1527/tjsai.28.141

Development of Discussion Supporting System Based on the "Value of Favorable Words' Influence" 論文

Tetsuro Kotani・Kazuya Seki・Tatsunori Matsui・Toshio Okamoto ·2004-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　19　pp. 95-104

doi:10.1527/tjsai.19.95

A Model of Belief Formation Based on Causality and Application to N-armed Bandit Problem 論文

Shuji Shinohara・Ryo Taguchi・Kouichi Katsurada・Tsuneo Nitta ·2007-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　22(1)　pp. 58-68

doi:10.1527/tjsai.22.58

Do Language Models Associate Sound with Meaning? A Multimodal Study of Sound Symbolism 論文

Jinhong Jeong・Sunghyun Lee・Jaeyoung Lee・Seonah Han・Youngjae Yu ·2026-03-14 ·『Proceedings of the AAAI Conference on Artificial Intelligence』　40(37)　pp. 31247-31255

doi:10.1609/aaai.v40i37.40387

Improving Semi-supervised Acquisition of Semantic Knowledge from Query Logs 論文

Mamoru Komachi・Hisami Suzuki ·2008-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　23(3)　pp. 217-225

doi:10.1527/tjsai.23.217

Learning a Large Scale of Ontology from Japanese Wikipedia 論文

Susumu Tamagawa・Shinya Sakurai・Takuya Tejima・Takeshi Morita・Noriaki Izumi・Takahira Yamaguchi ·2010-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　25(5)　pp. 623-636

doi:10.1527/tjsai.25.623

Fundamental Vocabulary Selection Based on Word Familiarity 論文

Hiroshi Sato・Kaname Kasahara・Tomoko Kanasugi・Shigeaki Amano ·2004-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　19　pp. 502-510

doi:10.1527/tjsai.19.502

The Roles of Sound Symbolisms in the Tasting Descriptions 論文

Hiroki Fukushima・Shigenori Tanaka ·2016-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　31(6)　pp. AI30-N_1

doi:10.1527/tjsai.ai30-n

An Efficient Algorithm for Unsupervised Word Segmentation with Branching Entropy and MDL 論文

Valentin Zhikov・Hiroya Takamura・Manabu Okumura ·2013 ·『人工知能学会論文誌』　28(3)　pp. 347-360

doi:10.1527/tjsai.28.347

形態素解析における高速な単語ラティス生成 論文

鍜治 伸裕・喜連川 優・Nobuhiro Kaji・Masaru Kitsuregawa ·2014 ·『人工知能学会論文誌』　29(2)　pp. 268-276

doi:10.1527/tjsai.29.268

Candidate Utterance Acquisition Method for Non-task-oriented Dialogue Systems from Twitter 論文

Michimasa Inaba・Sayaka Kamizono・Keníchi Takahashi ·2014-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　29(1)　pp. 21-31

doi:10.1527/tjsai.29.21

Profiling Participants in Online-Community Based on Influence Diffusion Model. 論文

Naohiro Matsumura・Yukio Ohsawa・Mitsuru Ishizuka ·2003-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　18　pp. 165-172

doi:10.1527/tjsai.18.165

Serendipitous Recommendation of Restaurant Using Sense Related Onomatopoeia 論文

Ayumi Kato・Yusuke Fukazawa・Taketoshi Mori ·2015-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　30(1)　pp. 216-228

doi:10.1527/tjsai.30.216

Practical Application in Development and Use of Mining Tools with Total Environment for Text Data Mining 論文

Wataru Sunayama・Yasufumi Takama・Yoko Nishihara・Tomoki Kajinami・Muneo Kushima・Hidekazu Tokunaga ·2014-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　29(1)　pp. 100-112

doi:10.1527/tjsai.29.100