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Generalized Shortest-Paths Encoders for AMR-to-Text Generation ...
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Unsupervised Bilingual Lexicon Induction Across Writing Systems ...
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Semantic Neural Machine Translation Using AMR
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 19-31 (2019) (2019)
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Addressing the Data Sparsity Issue in Neural AMR Parsing ...
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Human languages order information efficiently ...
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Abstract:
Most languages use the relative order between words to encode meaning relations. Languages differ, however, in what orders they use and how these orders are mapped onto different meanings. We test the hypothesis that, despite these differences, human languages might constitute different `solutions' to common pressures of language use. Using Monte Carlo simulations over data from five languages, we find that their word orders are efficient for processing in terms of both dependency length and local lexical probability. This suggests that biases originating in how the brain understands language strongly constrain how human languages change over generations. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1510.02823 https://arxiv.org/abs/1510.02823
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Simultaneous Word-Morpheme Alignment for Statistical Machine Translation ...
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Simultaneous Word-Morpheme Alignment for Statistical Machine Translation ...
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Using latent information for natural language processing tasks
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On word alignment models for statistical machine translation
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