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81
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces ...
Abstract: Recent work on bilingual lexicon induction (BLI) has frequently depended either on aligned bilingual lexicons or on distribution matching, often with an assumption about the isometry of the two spaces. We propose a technique to quantitatively estimate this assumption of the isometry between two embedding spaces and empirically show that this assumption weakens as the languages in question become increasingly etymologically distant. We then propose Bilingual Lexicon Induction with Semi-Supervision (BLISS) --- a semi-supervised approach that relaxes the isometric assumption while leveraging both limited aligned bilingual lexicons and a larger set of unaligned word embeddings, as well as a novel hubness filtering technique. Our proposed method obtains state of the art results on 15 of 18 language pairs on the MUSE dataset, and does particularly well when the embedding spaces don't appear to be isometric. In addition, we also show that adding supervision stabilizes the learning procedure, and is effective even ... : ACL 2019 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/1908.06625
https://dx.doi.org/10.48550/arxiv.1908.06625
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82
Generalization in Generation: A closer look at Exposure Bias
In: Proceedings of the 3rd Workshop on Neural Generation and Translation (2019)
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83
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 313-325 (2019) (2019)
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84
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop
In: ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01709578 ; ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada (2018)
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85
Evaluating phonemic transcription of low-resource tonal languages for language documentation
In: LREC 2018 (Language Resources and Evaluation Conference) ; https://halshs.archives-ouvertes.fr/halshs-01709648 ; LREC 2018 (Language Resources and Evaluation Conference), May 2018, Miyazaki, Japan. pp.3356-3365 (2018)
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86
Integrating automatic transcription into the language documentation workflow: Experiments with Na data and the Persephone toolkit
In: ISSN: 1934-5275 ; EISSN: 1934-5275 ; Language Documentation & Conservation ; https://halshs.archives-ouvertes.fr/halshs-01841979 ; Language Documentation & Conservation, University of Hawaiʻi Press 2018, 12, pp.393-429 ; hdl.handle.net/10125/24793 (2018)
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87
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ...
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88
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models ...
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89
Towards a General-Purpose Linguistic Annotation Backend ...
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90
Multi-Source Neural Machine Translation with Missing Data ...
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91
Rapid Adaptation of Neural Machine Translation to New Languages ...
Neubig, Graham; Hu, Junjie. - : arXiv, 2018
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92
Findings of the Second Workshop on Neural Machine Translation and Generation ...
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93
Stress Test Evaluation for Natural Language Inference ...
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94
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
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95
Attentive Interaction Model: Modeling Changes in View in Argumentation ...
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96
Neural Cross-Lingual Named Entity Recognition with Minimal Resources ...
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97
Neural Lattice Language Models ...
Buckman, Jacob; Neubig, Graham. - : arXiv, 2018
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98
Zero-shot Neural Transfer for Cross-lingual Entity Linking ...
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99
Neural Factor Graph Models for Cross-lingual Morphological Tagging ...
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100
A Tree-based Decoder for Neural Machine Translation ...
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