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Morphological Inflection: A Reality Check
Jordan Kodner, Sarah Payne, Salam Khalifa +1
Morphological inflection is a popular task in sub-word NLP with both practical and cognitive applications. For years now, state-of-the-art systems have reported high, but also high…
Data-driven Parsing Evaluation for Child-Parent Interactions
Zoey Liu, Emily Prud'hommeaux
We present a syntactic dependency treebank for naturalistic child and child-directed speech in English (MacWhinney, 2000). Our annotations largely followed the guidelines of the Un…
Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation
Zoey Liu, Justin Spence, Emily Prud'hommeaux
Many automatic speech recognition (ASR) data sets include a single pre-defined test set consisting of one or more speakers whose speech never appears in the training set. This "hol…
Not always about you: Prioritizing community needs when developing endangered language technology
Zoey Liu, Crystal Richardson, Richard Hatcher +1
Languages are classified as low-resource when they lack the quantity of data necessary for training statistical and machine learning tools and models. Causes of resource scarcity v…
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation
Zoey Liu, Emily Prud'hommeaux
Common designs of model evaluation typically focus on monolingual settings, where different models are compared according to their performance on a single data set that is assumed…
Predicting cross-linguistic adjective order with information gain
William Dyer, Richard Futrell, Zoey Liu +1
Languages vary in their placement of multiple adjectives before, after, or surrounding the noun, but they typically exhibit strong intra-language tendencies on the relative order o…