{"_buckets": {"deposit": "3173d99d-f4bc-4c27-8816-6c2722d5cc60"}, "_deposit": {"id": "8937", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "8937"}, "status": "published"}, "_oai": {"id": "oai:kitami-it.repo.nii.ac.jp:00008937", "sets": ["1:87"]}, "item_3_biblio_info_186": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2019", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "11", "bibliographicPageStart": "329", "bibliographicVolumeNumber": "10", "bibliographic_titles": [{}, {"bibliographic_title": "Information", "bibliographic_titleLang": "en"}]}]}, "item_3_description_184": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "Ainu is a critically endangered language spoken by the native inhabitants of northern Japan. This paper describes our research aimed at the development of technology for automatic processing of text in Ainu. In particular, we improved the existing tools for normalizing old transcriptions, word segmentation, and part-of-speech tagging. In the experiments we applied two Ainu language dictionaries from different domains (literary and colloquial) and created a new data set by combining them. The experiments revealed that expanding the lexicon had a positive impact on the overall performance of our tools, especially with test data unrelated to any of the training sets used. 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