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Hitoshi Iida: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Eiichiro Sumita, Naoya Nisiyama, Hitoshi Iida
    The Relationship between Architectures and Example-Retrieval Times. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:478-483 [Conf]
  2. Satoshi Kaki, Eiichiro Sumita, Hitoshi Iida
    A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co-occurence. [Citation Graph (0, 0)][DBLP]
    COLING-ACL, 1998, pp:653-657 [Conf]
  3. Hiroyuki Maeda, Susumu Kato, Kiyoshi Kogure, Hitoshi Iida
    Parsing Japanese Honorifics in Unification-Based Grammar. [Citation Graph (0, 0)][DBLP]
    ACL, 1988, pp:139-146 [Conf]
  4. Hideki Mima, Hitoshi Iida, Osamu Furuse
    Simultaneous Interpretation Utilizing Example-based Incremental Transfer. [Citation Graph (0, 0)][DBLP]
    COLING-ACL, 1998, pp:855-861 [Conf]
  5. Eiichiro Sumita, Hitoshi Iida
    Experiments and Prospects of Example-Based Machine Translation. [Citation Graph (0, 0)][DBLP]
    ACL, 1991, pp:185-192 [Conf]
  6. Susumu Akamine, Osamu Furuse, Hitoshi Iida
    Integration of example-based transfer and rule-based generation. [Citation Graph (0, 0)][DBLP]
    ANLP, 1994, pp:196-197 [Conf]
  7. Kozo Oi, Eiichiro Sumita, Osamu Furuse, Hitoshi Iida, Tetsuya Higuchi
    Real-Time Spoken Language Translation Using Associative Processors. [Citation Graph (0, 0)][DBLP]
    ANLP, 1994, pp:101-106 [Conf]
  8. Osamu Furuse, Hitoshi Iida
    Cooperation between Transfer and Analysis in Example-Based Framework. [Citation Graph (0, 0)][DBLP]
    COLING, 1992, pp:645-651 [Conf]
  9. Osamu Furuse, Hitoshi Iida
    Constituent Boundary Parsing for Example-Based Machine Translation. [Citation Graph (0, 0)][DBLP]
    COLING, 1994, pp:105-111 [Conf]
  10. Osamu Furuse, Hitoshi Iida
    Incremental Translation Utilizing Constituent Boundary Patterns. [Citation Graph (0, 0)][DBLP]
    COLING, 1996, pp:412-417 [Conf]
  11. Hitoshi Iida
    A Case Analysis Method Cooperating with ATNG and Its Application to Machine Translation. [Citation Graph (0, 0)][DBLP]
    COLING, 1984, pp:154-158 [Conf]
  12. Hitoshi Iida, Eiichiro Sumita, Osamu Furuse
    Spoken-Language Translation Method Using Examples. [Citation Graph (0, 0)][DBLP]
    COLING, 1996, pp:1074-1077 [Conf]
  13. Hitoshi Iida, Takayuki Yamaoka, Hidekazu Arita
    Three Typed Pragmatics for Dialogue Structure Analysis. [Citation Graph (0, 0)][DBLP]
    COLING, 1990, pp:370-372 [Conf]
  14. Yasuhiro Sobashima, Osamu Furuse, Susumu Akamine, Jun Kawai, Hitoshi Iida
    A Bidirectional, Transfer-Driven Machine Translation System For Spoken Dialogues. [Citation Graph (0, 0)][DBLP]
    COLING, 1994, pp:64-68 [Conf]
  15. Takayuki Yamaoka, Hitoshi Iida, Hidekazu Arita
    Predicting Noun-Phrase Surface Forms Using Contextual Information. [Citation Graph (0, 0)][DBLP]
    COLING, 1992, pp:1152-1156 [Conf]
  16. Hideki Mima, Osamu Furuse, Hitoshi Iida
    Improving Performance of Transfer-Driven Machine Translation with Extra-Linguistic Informatioon from Context, Situation and Environment. [Citation Graph (0, 0)][DBLP]
    IJCAI (2), 1997, pp:983-989 [Conf]
  17. Eiichiro Sumita, Kozo Oi, Osamu Furuse, Hitoshi Iida, Tetsuya Higuchi, Naoto Takahashi, Hiroaki Kitano
    Example-Based Machine Translation on Massively Parallel Processors. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1283-1289 [Conf]
  18. Tetsuya Higuchi, Ken'ichi Handa, Naoto Takahashi, Tatsumi Furuya, Hitoshi Iida, Eiichiro Sumita, Kozo Oi, Hiroaki Kitano
    The IXM2 Parallel Associative Processor for AI. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 1994, v:27, n:11, pp:53-63 [Journal]
  19. Tsuyoshi Morimoto, Yoshinori Sagisaka, Hitoshi Iida, Norio Higuchi
    ATR Speech Translation Research Project in Japan. [Citation Graph (0, 0)][DBLP]
    KI, 1997, v:11, n:4, pp:55-59 [Journal]

  20. LIBM 2008 - First International Workshop on Laughter in Interaction and Body Movement. [Citation Graph (, )][DBLP]

  21. Laughter around the End of Storytelling in Multi-party Interaction. [Citation Graph (, )][DBLP]

  22. Automatic Emotional Degree Labeling for Speakers' Anger Utterance during Natural Japanese Dialog. [Citation Graph (, )][DBLP]

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