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Research interests
William Lane is a PhD candidate in the College of Indigenous Futures, Arts, and Society. His research interests lie in the fields of computational linguistics, applied machine learning, software engineering, and language learning. He holds an undergraduate degree in Linguistics from Brigham Young University, and a Master of Science degree in computational linguistics from the University of Washington. Prior to commencing his studies at CDU, he worked as a natural language processing data scientist and software engineer in Seattle, developing information extraction and text retrieval systems.
William's current PhD research focuses on approaches to modeling morphologically complex languages, and applying those models in a way that supports the goals of the communities who speak these languages. For example, software which supports language documentation, learning, and literacy.
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Research output
- 5 Conference Paper published in Proceedings
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A Computational Model for Interactive Transcription
Lane, W. A., Bettinson, M. & Bird, S., Jun 2021, DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings. Dragut, E., Li, Y., Popa, L. & Vucetic, S. (eds.). 1 ed. USA: Association for Computational Linguistics (ACL), p. 105-111 7 p. (DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
Open AccessFile7 Downloads (Pure) -
Local Word Discovery for Interactive Transcription
Lane, W. A. & Bird, S., Nov 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Stroudsburg: Association for Computational Linguistics (ACL), p. 2058-2067 10 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
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Bootstrapping techniques for polysynthetic morphological analysis
Lane, W. & Bird, S., Jul 2020, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Jurafsky, D., Chai, J., Schluter, N. & Tetreault, J. (eds.). Pennsylvania: Association for Computational Linguistics (ACL), Vol. 1. p. 6652-6661 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
Open AccessFile18 Downloads (Pure) -
Interactive Word Completion for Morphologically Complex Languages
Lane, W. & Bird, S., 2020, Proceedings of the 28th International Conference on Computational Linguistics. Scott, D., Bel, N. & Zong, C. (eds.). Czech Republic: International Committee on Computational Linguistics, Vol. 1. p. 4600-4611 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
Open AccessFile5 Downloads (Pure) -
Towards a robust morphological analyser for Kunwinjku
Lane, W. & Bird, S., 2019, Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association. Mistica, M., Piccardi, M. & MacKinlay, A. (eds.). 1 ed. Australia: Australasian Language Technology Association, p. 1-9 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
Open AccessFile5 Downloads (Pure)