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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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Abstract:
Recent embedding-based methods in unsupervised bilingual lexicon induction have shown good results, but generally have not leveraged orthographic (spelling) information, which can be helpful for pairs of related languages. This work augments a state-of-the-art method with orthographic features, and extends prior work in this space by proposing methods that can learn and utilize orthographic correspondences even between languages with different scripts. We demonstrate this by experimenting on three language pairs with different scripts and varying degrees of lexical similarity. ...
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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.2002.00037 https://arxiv.org/abs/2002.00037
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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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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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