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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 Page: 1 2 Hits 1 – 20 of 26 1 Morphological Processing of Low-Resource Languages: Where We Are and What's Next ... Wiemerslage, Adam; Silfverberg, Miikka; Yang, Changbing. - : arXiv, 2022 BASE Show details 2 Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability ... Fujinuma, Yoshinari; Boyd-Graber, Jordan; Kann, Katharina. - : arXiv, 2022 BASE Show details 3 Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data ... Bhatnagar, Rajat; Ganesh, Ananya; Kann, Katharina. - : arXiv, 2021 Abstract: High-performing machine translation (MT) systems can help overcome language barriers while making it possible for everyone to communicate and use language technologies in the language of their choice. However, such systems require large amounts of parallel sentences for training, and translators can be difficult to find and expensive. Here, we present a data collection strategy for MT which, in contrast, is cheap and simple, as it does not require bilingual speakers. Based on the insight that humans pay specific attention to movements, we use graphics interchange formats (GIFs) as a pivot to collect parallel sentences from monolingual annotators. We use our strategy to collect data in Hindi, Tamil and English. As a baseline, we also collect data using images as a pivot. We perform an intrinsic evaluation by manually evaluating a subset of the sentence pairs and an extrinsic evaluation by finetuning mBART on the collected data. We find that sentences collected via GIFs are indeed of higher quality. ... : 5 pages, 1 figure, ACL-IJCNLP 2021 submission, Natural Language Processing, Data Collection, Monolingual Speakers, Machine Translation, GIFs, Images ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; I.2.7 URL: https://arxiv.org/abs/2106.06875 https://dx.doi.org/10.48550/arxiv.2106.06875 BASE Hide details 4 Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages ... Ojha, Atul Kr.; Liu, Chao-Hong; Kann, Katharina. - : arXiv, 2021 BASE Show details 5 How to Adapt Your Pretrained Multilingual Model to 1600 Languages ... Ebrahimi, Abteen; Kann, Katharina. - : arXiv, 2021 BASE Show details 6 Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas ... Mager, Manuel; Oncevay, Arturo; Ebrahimi, Abteen. - : Association for Computational Linguistics, 2021 BASE Show details 7 {PROST}: {P}hysical Reasoning about Objects through Space and Time ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Aroca-Ouellette, Stéphane; Kann, Katharina. - : Underline Science Inc., 2021 BASE Show details 8 Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bhatnagar, Rajat; Ganesh, Ananya. - : Underline Science Inc., 2021 BASE Show details 9 What Would a Teacher Do? {P}redicting Future Talk Moves ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ganesh, Ananya; Kann, Katharina. - : Underline Science Inc., 2021 BASE Show details 10 How to Adapt Your Pretrained Multilingual Model to 1600 Languages ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ebrahimi, Abteen; Kann, Katharina. - : Underline Science Inc., 2021 BASE Show details 11 AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages ... Ebrahimi, Abteen; Mager, Manuel; Oncevay, Arturo. - : arXiv, 2021 BASE Show details 12 CLiMP: A Benchmark for Chinese Language Model Evaluation ... Xiang, Beilei; Yang, Changbing; Li, Yu. - : arXiv, 2021 BASE Show details 13 Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas In: Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas. Edited by: Mager, Manuel; Oncevay, Arturo; Rios, Annette; Meza Ruiz, Ivan Vladimir; Palmer, Alexis; Neubig, Graham; Kann, Katharina (2021). Online: Association for Computational Linguistics. (2021) BASE Show details 14 Unsupervised Morphological Paradigm Completion ... Jin, Huiming; Cai, Liwei; Peng, Yihui. - : arXiv, 2020 BASE Show details 15 Learning to Learn Morphological Inflection for Resource-Poor Languages ... Kann, Katharina; Bowman, Samuel R.; Cho, Kyunghyun. - : arXiv, 2020 BASE Show details 16 Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge Kann, Katharina In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 17 Neural sequence-to-sequence models for low-resource morphology Kann, Katharina [Verfasser]; Schütze, Hinrich [Akademischer Betreuer]. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019 DNB Subject Category Language Show details 18 Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy. - : Ludwig-Maximilians-Universität München, 2019 BASE Show details 19 Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings ... Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy. - : Association for Computational Linguistics, 2019 BASE Show details 20 Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge ... Kann, Katharina. - : arXiv, 2019 BASE Show details Page: 1 2

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