Papers by Katherine J. Zhang
A Hmong Corpus with Elaborate Expression Annotations (2022.lrec-1)
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| Challenge: | SCH is the first substantial corpus to be annotated for elaborate expressions . a plurality of speakers are located in China, but many Hmong speakers left Laos as refugees . |
| Approach: | They describe the first publicly available corpus of Hmong, a minority language of China, Vietnam, Laos, Thailand, and various countries in Europe and the Americas. |
| Outcome: | The first publicly available corpus of Hmong is scraped from a long-running Usenet newsgroup . it is the first substantial corpus to be annotated for elaborate expressions . |
Morphology Matters: A Multilingual Language Modeling Analysis (2021.tacl-1)
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| Challenge: | Existing studies on inflectional morphology disagree on whether or not it makes languages harder to model. |
| Approach: | They propose to use a corpus of 145 Bible translations in 92 languages to investigate whether inflectional morphology makes languages harder to model. |
| Outcome: | The proposed model trains with linguistically motivated subword segmentation strategies and reduces the impact of morphology on language modeling. |
Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese (2022.naacl-main)
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| Challenge: | phonological hierarchies that predict coordinate constructions are often phonetically “natural” . a neural sequence labeling model can learn elaborate expressions in Hmong without using phonology information. |
| Approach: | They propose that coordinate compounds and elaborate expressions can be learned empirically by phonological hierarchies and a neural sequence labeling model can learn the ordering of elaborate expression in Hmong without using phonology. |
| Outcome: | The proposed models beat strong baselines for all three languages and learn hierarchies similar to those proposed by Mortensen. |