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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 36 1 Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ... Cui, Chenxuan; Zhang, Katherine J.; Mortensen, David R.. - : arXiv, 2022 BASE Show details 2 AUTOLEX: An Automatic Framework for Linguistic Exploration ... Chaudhary, Aditi; Sheikh, Zaid; Mortensen, David R. - : arXiv, 2022 BASE Show details 3 Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ... Siminyu, Kathleen; Li, Xinjian; Anastasopoulos, Antonios. - : arXiv, 2021 BASE Show details 4 Evaluating the Morphosyntactic Well-formedness of Generated Texts ... Pratapa, Adithya; Anastasopoulos, Antonios; Rijhwani, Shruti. - : arXiv, 2021 BASE Show details 5 Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments ... Mortensen, David R.; Picone, Jordan; Li, Xinjian. - : arXiv, 2021 BASE Show details 6 Evaluating the Morphosyntactic Well-formedness of Generated Texts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Anastasopoulos, Antonios; Chaudhary, Aditi. - : Underline Science Inc., 2021 BASE Show details 7 Quantifying Cognitive Factors in Lexical Decline ... Francis, David; Rabinovich, Ella; Samir, Farhan. - : arXiv, 2021 BASE Show details 8 Differentiable Allophone Graphs for Language-Universal Speech Recognition ... Yan, Brian; Dalmia, Siddharth; Mortensen, David R.. - : arXiv, 2021 BASE Show details 9 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 10 AlloVera: A Multilingual Allophone Database ... Mortensen, David R.; Li, Xinjian; Littell, Patrick. - : arXiv, 2020 BASE Show details 11 Towards Zero-shot Learning for Automatic Phonemic Transcription ... Li, Xinjian; Dalmia, Siddharth; Mortensen, David R.. - : arXiv, 2020 BASE Show details 12 Automatic Extraction of Rules Governing Morphological Agreement ... Chaudhary, Aditi; Anastasopoulos, Antonios; Pratapa, Adithya. - : arXiv, 2020 BASE Show details 13 Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods ... Ryskina, Maria; Rabinovich, Ella; Berg-Kirkpatrick, Taylor. - : arXiv, 2020 BASE Show details 14 Universal Phone Recognition with a Multilingual Allophone System ... Li, Xinjian; Dalmia, Siddharth; Li, Juncheng; Lee, Matthew; Littell, Patrick; Yao, Jiali; Anastasopoulos, Antonios; Mortensen, David R.; Neubig, Graham; Black, Alan W; Metze, Florian. - : arXiv, 2020 Abstract: Multilingual models can improve language processing, particularly for low resource situations, by sharing parameters across languages. Multilingual acoustic models, however, generally ignore the difference between phonemes (sounds that can support lexical contrasts in a particular language) and their corresponding phones (the sounds that are actually spoken, which are language independent). This can lead to performance degradation when combining a variety of training languages, as identically annotated phonemes can actually correspond to several different underlying phonetic realizations. In this work, we propose a joint model of both language-independent phone and language-dependent phoneme distributions. In multilingual ASR experiments over 11 languages, we find that this model improves testing performance by 2% phoneme error rate absolute in low-resource conditions. Additionally, because we are explicitly modeling language-independent phones, we can build a (nearly-)universal phone recognizer that, when ... : ICASSP 2020 ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://arxiv.org/abs/2002.11800 https://dx.doi.org/10.48550/arxiv.2002.11800 BASE Hide details 15 Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks ... Sun, Jimin; Ahn, Hwijeen; Park, Chan Young. - : arXiv, 2020 BASE Show details 16 Characterizing Sociolinguistic Variation in the Competing Vaccination Communities ... Memon, Shahan Ali; Tyagi, Aman; Mortensen, David R.. - : arXiv, 2020 BASE Show details 17 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 18 Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods Ryskina, Maria; Rabinovich, Ella; Berg-Kirkpatrick, Taylor... In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 19 Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation ... Zhou, Zhong; Levin, Lori; Mortensen, David R.. - : arXiv, 2019 BASE Show details 20 Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ... Chaudhary, Aditi; Zhou, Chunting; Levin, Lori. - : arXiv, 2018 BASE Show details Page: 1 2

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