Abstract

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.

Highlights

  • UNESCO estimates that at least half of the languages currently used around the world are losing speakers and about 90% of them may be replaced by dominant languages by the end of the 21st century [1]

  • Bird [6] advocated for the construction of a multi-lingual corpus in a consistent format allowing for cross-linguistic automatic processing and the study of universal linguistics

  • In this paper we presented our research in improving part-of-speech tagger for the Ainu language (POST-AL), a tool for computer-aided processing of the critically endangered Ainu language

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Summary

Introduction

UNESCO estimates that at least half of the languages currently used around the world are losing speakers and about 90% of them may be replaced by dominant languages by the end of the 21st century [1]. The rapid development and the spread of language technologies observed in recent decades may result in creating a technological gap between smaller languages and majority languages—which in turn would threaten the survival of the former group—if linguistic minorities are not provided with equal access to said technologies. For these reasons, multiple research initiatives have been undertaken in recent years with the aim of developing linguistic resources (such as lexicons [2] and annotated corpora [3]) and speech or text processing technologies [4,5] for under-resourced and endangered languages. Bird and Chiang [7]

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