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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 18 of 18 1 Optimizing segmentation granularity for neural machine translation [<Journal>] Salesky, Elizabeth [Verfasser]; Runge, Andrew [Verfasser]; Coda, Alex [Verfasser]. DNB Subject Category Language Show details 2 A set of recommendations for assessing human-machine parity in language translation Läubli, Samuel; Castilho, Sheila; Neubig, Graham... In: Läubli, Samuel orcid:0000-0001-5362-4106 , Castilho, Sheila orcid:0000-0002-8416-6555 , Neubig, Graham, Sennrich, Rico orcid:0000-0002-1438-4741 , Shen, Qinlan and Toral, Antonio orcid:0000-0003-2357-2960 (2020) A set of recommendations for assessing human-machine parity in language translation. Journal of Artificial Intelligence Research, 67 . pp. 653-672. ISSN 1076-9757 (2020) BASE Show details 3 Speech technology for unwritten languages Scharenborg, Odette; Besacier, Laurent; Black, Alan... In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-02480675 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2020, &#x27E8;10.1109/TASLP.2020.2973896&#x27E9; (2020) BASE Show details 4 AlloVera: a multilingual allophone database Mortensen, David,; Li, Xinjian; Littell, Patrick... 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) BASE Show details 5 AlloVera: A Multilingual Allophone Database ... Mortensen, David R.; Li, Xinjian; Littell, Patrick. - : arXiv, 2020 BASE Show details 6 Explicit Alignment Objectives for Multilingual Bidirectional Encoders ... Hu, Junjie; Johnson, Melvin; Firat, Orhan. - : arXiv, 2020 BASE Show details 7 Balancing Training for Multilingual Neural Machine Translation ... Wang, Xinyi; Tsvetkov, Yulia; Neubig, Graham. - : arXiv, 2020 BASE Show details 8 Automatic Extraction of Rules Governing Morphological Agreement ... Chaudhary, Aditi; Anastasopoulos, Antonios; Pratapa, Adithya. - : arXiv, 2020 BASE Show details 9 A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ... Neubig, Graham; Rijhwani, Shruti; Palmer, Alexis. - : arXiv, 2020 BASE Show details 10 A Set of Recommendations for Assessing Human-Machine Parity in Language Translation ... Läubli, Samuel; Castilho, Sheila; Neubig, Graham. - : arXiv, 2020 BASE Show details 11 Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation ... Gao, Luyu; Wang, Xinyi; Neubig, Graham. - : arXiv, 2020 BASE Show details 12 Universal Phone Recognition with a Multilingual Allophone System ... Li, Xinjian; Dalmia, Siddharth; Li, Juncheng. - : arXiv, 2020 BASE Show details 13 The Return of Lexical Dependencies: Neural Lexicalized PCFGs ... Zhu, Hao; Bisk, Yonatan; Neubig, Graham. - : arXiv, 2020 BASE Show details 14 XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization ... Hu, Junjie; Ruder, Sebastian; Siddhant, Aditya. - : arXiv, 2020 BASE Show details 15 X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models ... Jiang, Zhengbao; Anastasopoulos, Antonios; Araki, Jun. - : arXiv, 2020 BASE Show details 16 AlloVera: a multilingual allophone database Mortensen, David,; Li, Xinjian; Littell, Patrick... 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) BASE Show details 17 How Can We Know What Language Models Know? Jiang, Zhengbao; Xu, Frank F.; Araki, Jun... In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 423-438 (2020) (2020) BASE Show details 18 Improving Candidate Generation for Low-resource Cross-lingual Entity Linking Zhou, Shuyan; Rijhwani, Shruti; Wieting, John; Carbonell, Jaime; Neubig, Graham In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 109-124 (2020) (2020) Abstract: Cross-lingual entity linking (XEL) is the task of finding referents in a target-language knowledge base (KB) for mentions extracted from source-language texts. The first step of (X)EL is candidate generation, which retrieves a list of plausible candidate entities from the target-language KB for each mention. Approaches based on resources from Wikipedia have proven successful in the realm of relatively high-resource languages, but these do not extend well to low-resource languages with few, if any, Wikipedia pages. Recently, transfer learning methods have been shown to reduce the demand for resources in the low-resource languages by utilizing resources in closely related languages, but the performance still lags far behind their high-resource counterparts. In this paper, we first assess the problems faced by current entity candidate generation methods for low-resource XEL, then propose three improvements that (1) reduce the disconnect between entity mentions and KB entries, and (2) improve the robustness of the model to low-resource scenarios. The methods are simple, but effective: We experiment with our approach on seven XEL datasets and find that they yield an average gain of 16.9% in Top-30 gold candidate recall, compared with state-of-the-art baselines. Our improved model also yields an average gain of 7.9% in in-KB accuracy of end-to-end XEL. 1 Keyword: Computational linguistics. Natural language processing; P98-98.5 URL: https://doaj.org/article/2c64a6c204be4c2988941b57c8961921 https://doi.org/10.1162/tacl_a_00303 BASE Hide details

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