{"_buckets": {"deposit": "834fe8e4-48db-4b4b-809e-a59fe074c0ef"}, "_deposit": {"id": "1299", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "1299"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00001299", "sets": ["314"]}, "author_link": ["2907", "2908", "2909", "2910", "2911", "2912", "2913"], "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2004-10", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "2176", "bibliographicPageStart": "2173", "bibliographic_titles": [{"bibliographic_title": "Proceedings of  the 8th International Conference on Spoken Language Processing (Interspeech-2004)", "bibliographic_titleLang": "en"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Spontaneously spoken Japanese includes a lot of grammatically ill-formed linguistic phenomena such as fillers, hesitations, inversions, and so on, which do not appear in written language. This paper proposes a method of robust dependency parsing using a large-scale spoken language corpus, and evaluates the availability and robustness of the method using spontaneously spoken dialogue sentences. By utilizing stochastic information about the appearance of ill-formed phenomena, the method can robustly parse spoken Japanese including fillers, inversions, or dependencies over utterance units. 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