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[Class elicitation session on noun subjects (incomplete)] ...
Tchatchouang, Guy; Bacon, Geoff; Bird, Steven. - : California Language Archive, University of California, Berkeley, 2021
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Tones on noun-numerals ...
Bacon, Geoff; Cheng, Andrew; Hyman, Larry M.. - : California Language Archive, University of California, Berkeley, 2021
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[Small-group elicitation session on numbers, and numbers modifying nouns] ...
Tchatchouang, Guy; Bacon, Geoff; Cheng, Andrew. - : California Language Archive, University of California, Berkeley, 2021
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4
[Class elicitation session on noun classes] ...
Tchatchouang, Guy; Bacon, Geoff; Bird, Steven. - : California Language Archive, University of California, Berkeley, 2021
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5
[Small-group elicitation session on plural nouns] ...
Tchatchouang, Guy; Bacon, Geoff; Cheng, Andrew. - : California Language Archive, University of California, Berkeley, 2021
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6
[Small-group elicitation session on lexicon] ...
Tchatchouang, Guy; Bacon, Geoff; Cheng, Andrew. - : California Language Archive, University of California, Berkeley, 2021
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7
[Small-group elicitation session on lexicon] ...
Tchatchouang, Guy; Bacon, Geoff; Cheng, Andrew. - : California Language Archive, University of California, Berkeley, 2021
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8
Does BERT agree? Evaluating knowledge of structure dependence through agreement relations ...
Bacon, Geoff; Regier, Terry. - : arXiv, 2019
Abstract: Learning representations that accurately model semantics is an important goal of natural language processing research. Many semantic phenomena depend on syntactic structure. Recent work examines the extent to which state-of-the-art models for pre-training representations, such as BERT, capture such structure-dependent phenomena, but is largely restricted to one phenomenon in English: number agreement between subjects and verbs. We evaluate BERT's sensitivity to four types of structure-dependent agreement relations in a new semi-automatically curated dataset across 26 languages. We show that both the single-language and multilingual BERT models capture syntax-sensitive agreement patterns well in general, but we also highlight the specific linguistic contexts in which their performance degrades. ... : 6 pages ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1908.09892
https://dx.doi.org/10.48550/arxiv.1908.09892
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9
Bayesian phylogenetics, sequence alignment and the genetic structure of the Kainji languages. ...
Bacon, Geoff; Bird, Steven. - : Monash University, 2016
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10
Elicitation with CiShingini Speaker (4 syllable words, Phonology, Past tense)
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Elicitation with CiShingini Speaker (Vocab)
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Elicitation with CiShingini Speaker (Noun phrases)
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Elicitation with CiShingini Speaker (Vocab)
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Elicitation with CiShingini Speaker (Mass/count, stories)
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Elicitation with CiShingini Speaker (Vocab)
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Elicitation with CiShingini Speaker (General)
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Elicitation with CiShingini Speaker (Vocab, noun phrases)
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Elicitation with CiShingini Speaker (Vocab)
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Elicitation with CiShingini Speaker (Mass/count)
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Elicitation with CiShingini Speaker (Mass/Count)
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