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Hits 61 – 80 of 116

61
Universal Phone Recognition with a Multilingual Allophone System ...
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62
The Return of Lexical Dependencies: Neural Lexicalized PCFGs ...
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63
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization ...
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64
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models ...
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65
AlloVera: a multilingual allophone database
In: LREC 2020: 12th Language Resources and Evaluation Conference ; https://halshs.archives-ouvertes.fr/halshs-02527046 ; LREC 2020: 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/ (2020)
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66
How Can We Know What Language Models Know?
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 423-438 (2020) (2020)
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67
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 109-124 (2020) (2020)
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68
A Bilingual Generative Transformer for Semantic Sentence Embedding ...
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69
Generalized Data Augmentation for Low-Resource Translation ...
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70
Improving Robustness of Machine Translation with Synthetic Noise ...
Abstract: Modern Machine Translation (MT) systems perform consistently well on clean, in-domain text. However most human generated text, particularly in the realm of social media, is full of typos, slang, dialect, idiolect and other noise which can have a disastrous impact on the accuracy of output translation. In this paper we leverage the Machine Translation of Noisy Text (MTNT) dataset to enhance the robustness of MT systems by emulating naturally occurring noise in otherwise clean data. Synthesizing noise in this manner we are ultimately able to make a vanilla MT system resilient to naturally occurring noise and partially mitigate loss in accuracy resulting therefrom. ... : Accepted at NAACL 2019 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.1902.09508
https://arxiv.org/abs/1902.09508
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71
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework ...
Wang, Zirui; Xie, Jiateng; Xu, Ruochen. - : arXiv, 2019
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72
Towards Zero-resource Cross-lingual Entity Linking ...
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73
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ...
Wang, Xinyi; Neubig, Graham. - : arXiv, 2019
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74
Pushing the Limits of Low-Resource Morphological Inflection ...
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75
Self-Attentional Models for Lattice Inputs ...
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76
Multilingual Neural Machine Translation With Soft Decoupled Encoding ...
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77
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ...
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78
Domain Adaptation of Neural Machine Translation by Lexicon Induction ...
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79
Should All Cross-Lingual Embeddings Speak English? ...
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80
DIRE: A Neural Approach to Decompiled Identifier Naming ...
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