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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models ... Wang, Yiwen; Hu, Jennifer; Levy, Roger; Qian, Peng. - : arXiv, 2021 Abstract: Prior work has shown that structural supervision helps English language models learn generalizations about syntactic phenomena such as subject-verb agreement. However, it remains unclear if such an inductive bias would also improve language models' ability to learn grammatical dependencies in typologically different languages. Here we investigate this question in Mandarin Chinese, which has a logographic, largely syllable-based writing system; different word order; and sparser morphology than English. We train LSTMs, Recurrent Neural Network Grammars, Transformer language models, and Transformer-parameterized generative parsing models on two Mandarin Chinese datasets of different sizes. We evaluate the models' ability to learn different aspects of Mandarin grammar that assess syntactic and semantic relationships. We find suggestive evidence that structural supervision helps with representing syntactic state across intervening content and improves performance in low-data settings, suggesting that the benefits ... : To appear in the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2109.11058 https://dx.doi.org/10.48550/arxiv.2109.11058 BASE Hide details 2 Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hu, Jennifer; Levy, Roger. - : Underline Science Inc., 2021 BASE Show details

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