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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 – 20 of 20 1 Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP Mielke, Sabrina J.; Alyafeai, Zaid; Salesky, Elizabeth... In: https://hal.inria.fr/hal-03540069 ; 2022 (2022) BASE Show details 2 Findings of the IWSLT 2020 Evaluation campaign Niehues, Jan; Federico, Marcello; Ma, Xutai. - : Association for Computational Linguistics, 2022 BASE Show details 3 KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning Nguyen, Thai-Son; Zenkel, Thomas; Waibel, Alex. - : Association for Computational Linguistics, 2022 BASE Show details 4 Tutorial: End-to-End Speech Translation Negri, Matteo; Salesky, Elizabeth; Turchi, Marco. - : Association for Computational Linguistics, 2022 BASE Show details 5 Assessing Evaluation Metrics for Speech-to-Speech Translation ... Salesky, Elizabeth; Mäder, Julian; Klingler, Severin. - : ETH Zurich, 2021 BASE Show details 6 Assessing Evaluation Metrics for Speech-to-Speech Translation ... Salesky, Elizabeth; Mäder, Julian; Klinger, Severin. - : arXiv, 2021 BASE Show details 7 The Multilingual TEDx Corpus for Speech Recognition and Translation ... Salesky, Elizabeth; Wiesner, Matthew; Bremerman, Jacob. - : arXiv, 2021 BASE Show details 8 Tutorial: End-to-End Speech Translation ... Niehues, Jan; Salesky, Elizabeth; Turchi, Marco. - : Association for Computational Linguistics, 2021 BASE Show details 9 A surprisal--duration trade-off across and within the world's languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Blasi, Damián; Cotterell, Ryan. - : Underline Science Inc., 2021 BASE Show details 10 Assessing Evaluation Metrics for Speech-to-Speech Translation Salesky, Elizabeth; Mäder, Julian; Klingler, Severin In: 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) (2021) BASE Show details 11 Robust Open-Vocabulary Translation from Visual Text Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Etter, Dave; Post, Matt. - : Underline Science Inc., 2021 BASE Show details 12 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 13 SIGTYP 2020 Shared Task: Prediction of Typological Features ... Bjerva, Johannes; Salesky, Elizabeth; Mielke, Sabrina J.. - : arXiv, 2020 BASE Show details 14 Findings of the IWSLT 2020 Evaluation campaign ... Ansari, Ebrahim; Axelrod, Amittai; Bach, Nguyen. - : Association for Computational Linguistics, 2020 BASE Show details 15 Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ... Meister, Clara Isabel; Salesky, Elizabeth; Cotterell, Ryan. - : ETH Zurich, 2020 BASE Show details 16 A Corpus for Large-Scale Phonetic Typology ... Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - : arXiv, 2020 BASE Show details 17 A Corpus for Large-Scale Phonetic Typology ... Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - : ETH Zurich, 2020 BASE Show details 18 A corpus for large-scale phonetic typology Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - 2020 BASE Show details 19 A Corpus for Large-Scale Phonetic Typology Chodroff, Eleanor; Cotterell, Ryan; Wiesner, Matthew; Eisner, Jason; Salesky, Elizabeth; Black, Alan W.; Pimentel, Tiago In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020) Abstract: A major hurdle in data-driven research on typology is having sufficient data in many languages to draw meaningful conclusions. We present VoxClamantis V1.0, the first large-scale corpus for phonetic typology, with aligned segments and estimated phoneme-level labels in 690 readings spanning 635 languages, along with acoustic-phonetic measures of vowels and sibilants. Access to such data can greatly facilitate investigation of phonetic typology at a large scale and across many languages. However, it is non-trivial and computationally intensive to obtain such alignments for hundreds of languages, many of which have few to no resources presently available. We describe the methodology to create our corpus, discuss caveats with current methods and their impact on the utility of this data, and illustrate possible research directions through a series of case studies on the 48 highest-quality readings. Our corpus and scripts are publicly available for non-commercial use at https://voxclamantisproject.github.io. URL: https://doi.org/10.3929/ethz-b-000446011 https://hdl.handle.net/20.500.11850/446011 BASE Hide details 20 A Language-Independent Approach to Automatic Text Difficulty Assessment for Second-Language Learners Shen, Wade; Williams, Jennifer; Marius, Tamas... In: DTIC (2013) BASE Show details

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