School of Languages and Linguistics - Research Publications
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ItemBuilding Speech Recognition Systems for Language Documentation: The CoEDL Endangered Language Pipeline and Inference System (ELPIS)(ISCA, 2018)Machine learning has revolutionized speech technologies for major world languages, but these technologies have generally not been available for the roughly 4,000 languages with populations of fewer than 10,000 speakers. This paper describes the development of ELPIS, a pipeline which language documentation workers with minimal computational experience can use to build their own speech recognition models, resulting in models being built for 16 languages from the Asia-Pacific region. ELPIS puts machine learning speech technologies within reach of people working with languages with scarce data, in a scalable way. This is impactful since it enables language communities to cross the digital divide, and speeds up language documentation. Complete automation of the process is not feasible for languages with small quantities of data and potentially large vocabularies. Hence our goal is not full automation, but rather to make a practical and effective workflow that integrates machine learning technologies.
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ItemMultilingualism in Cyberspace - Longevity for Documentation of Small Languages(Interregional Library Cooperation Centre, 2012)
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ItemBuilding capacity for community-led documentation in Erakor, Vanuatu(Wydawnictwo Nauka i Innowacje, 2019)Close collaboration between community members and visiting researchers offers mutual benefits, including opportunities for new research insights and an expanded scope for supporting language maintenance and developing practical materials. We discuss a collaboration in Erakor, Vanuatu aiming to build the capacity of community-based researchers to undertake and sustain language and cultural documentation projects. We focus on the technical and procedural skills required to collect, manage, and work with audio and video data, and give an overview of the outcomes of a community-led project after initial training. We discuss the benefits and challenges of this type of project from the perspective of the community researchers and the external linguists. We show that the community-led project in Erakor, in which data management and archiving are incorporated into the documentation process, has crucial benefits for both the community and the linguists. Two most salient benefits are: a) long-term documentation of linguistic and cultural practices calibrated towards community’s needs, and b) collections of large quantities of data of good phonetic quality, which, besides being readily available for research, have a great potential for training and testing emerging language technologies based on machine learning.
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ItemProsodic marking of focus in Nafsan(Australasian Speech Science and Technology Association, 2019)Languages use a variety of means to realise informational structure categories like topicalisation and focus. The interaction between prosody and focus realisation strategies was examined in Nafsan, a Southern Oceanic language of Vanuatu, in a series of tasks that were designed to explore prosodic realisation of informational and contrastive focus on nouns that were subjects or objects in mini-dialogues where word-order was manipulated. All speakers produced utterance-initial or utterance-final focal elements with a major pitch movement associated with the focused noun (subject or object). Focused nouns were also realised with a wider pitch and often realised in their own prosodic phrase compared to the same item in non-focal contexts. There was also significant syllable lengthening at the right edge of in-focus words. In utterance-initial contexts, post-focal material in Nafsan was almost always produced in a relatively compressed pitch range and there was evidence of de-phrasing of non-focal nouns regardless of utterance position, suggesting prosodic phrasing patterns similar to other languages with edge-marking prominence.
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ItemUnlocking the archives(FEL, 2018)The popular expression ‘locked in the archive’ suggests that items are impossible to find and access once they are archived. Benefiting from new technologies, digital language and music archives nowadays provide an increasing number of records online in and about the world’s small languages. Just six of these archives list between them over 31,000 items, representing something like 2,300 languages. We can certainly do better at making records more widely available—especially records from small, marginalised and sometimes isolated communities—but how do we build pathways for re-use? We discuss the practice of the Pacific and Regional Archive for Digital Sources in Endangered Cultures (PARADISEC) through the rubric provided by the FAIR principles. Building resources for learning and teaching language, history and culture, revitalising local performance traditions or reinforcing social identity through broadcasting are all possible pathways for future re-use of archival material. Ultimately, it is up to community members to decide on what they will do with archival materials once they have access; and it is up to language archives to listen and do our best to keep the pathways open to enable that.
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ItemBuilding Speech Recognition Systems for Language Documentation: The CoEDL Endangered Language Pipeline and Inference System (ELPIS)(International Speech Communication Association, 2018-08-30)Machine learning has revolutionised speech technologies for major world languages, but these technologies have generally not been available for the roughly 4,000 languages with populations of fewer than 10,000 speakers. This paper describes the development of Elpis, a pipeline which language documentation workers with minimal computational experience can use to build their own speech recognition models, resulting in models being built for 16 languages from the Asia-Pacific region. Elpis puts machine learning speech technologies within reach of people working with languages with scarce data, in a scalable way. This is impactful since it enables language communities to cross the digital divide, and speeds up language documentation. Complete automation of the process is not feasible for languages with small quantities of data and potentially large vocabularies. Hence our goal is not full automation, but rather to make a practical and effective workflow that integrates machine learning technologies.
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ItemAcoustic correlates of prominence in Nafsan(Australasian Speech Science and Technology Association, 2018)Though Oceanic languages are often described as preferring primary stress on penultimate syllables, many different patterns have been noted across and within language families, and may interact with segmental and phonotactic factors. This is exemplified across linguistically diverse Vanuatu. However, both impressionistic and instrumentally-based escriptions of prosodic patterns and their correlates are limited for languages of this region. This paper presents preliminary acoustic and durational results for Nafsan, an Oceanic language of Vanuatu, which suggest a preference for prominence at the right edge of words, with fundamental frequency as a primary correlate.
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ItemNo Preview AvailablePhonotactic modeling of extremely low resource languages(Australasian Language Technology Association, 2016-01-01)
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ItemNo Preview AvailableDeveloping collection management tools to create more robust and reliable linguistic data(Association for Computational Linguistics, 2017)
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ItemNo Preview AvailableFrom Small to Big Data: paper manuscripts to RDF triples of Australian Indigenous Vocabularies(Association for Computational Linguistics, 2017)