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How Well Do LSTM Language Models Learn Filler-gap Dependencies?
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation ...
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Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ...
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ParaMor: Minimally-Supervised Induction of Paradigm Structure and Morphological Analysis ...
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Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ...
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Proceedings of the Grammar Engineering Across Frameworks (GEAF) 2015 Workshop
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In: The 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01181344 ; The 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Jul 2015, Beijing, China. Association for Computational Linguistics, 2015 (2015)
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Statistical modality tagging from rule-based annotations and crowdsourcing ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT
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In: DTIC (2012)
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Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
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20 |
Use of Modality and Negation in Semantically-Informed Syntactic MT
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