| Joshua: An open source toolkit for parsing-based machine translation Z Li, C Callison-Burch, C Dyer, S Khudanpur, L Schwartz, W Thornton, ... Proceedings of the Fourth Workshop on Statistical Machine Translation, 135-139, 2009 | 241 | 2009 |
| Broad-coverage parsing using human-like memory constraints W Schuler, S AbdelRahman, T Miller, L Schwartz Computational Linguistics 36 (1), 1-30, 2010 | 79 | 2010 |
| Morphology matters: A multilingual language modeling analysis HH Park, KJ Zhang, C Haley, K Steimel, H Liu, L Schwartz Transactions of the Association for Computational Linguistics 9, 261-276, 2021 | 69 | 2021 |
| DLVM: A modern compiler infrastructure for deep learning systems R Wei, L Schwartz, V Adve arXiv preprint arXiv:1711.03016, 2017 | 68 | 2017 |
| Automated translation of a literary work: a pilot study L Besacier, L Schwartz Fourth Workshop on Computational Linguistics for Literature-co-located with …, 2015 | 66 | 2015 |
| Primum Non Nocere: Before working with Indigenous data, the ACL must confront ongoing colonialism L Schwartz Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 48 | 2022 |
| Incremental syntactic language models for phrase-based translation L Schwartz, C Callison-Burch, W Schuler, S Wu | 44 | 2011 |
| Monolingual post-editing by a domain expert is highly effective for translation triage L Schwartz Proceedings of the 11th Conference of the Association for Machine …, 2014 | 39 | 2014 |
| Unsupervised grammar induction with depth-bounded PCFG L Jin, F Doshi-Velez, T Miller, W Schuler, L Schwartz Transactions of the Association for Computational Linguistics 6, 211-224, 2018 | 38 | 2018 |
| Unsupervised learning of PCFGs with normalizing flow L Jin, F Doshi-Velez, T Miller, L Schwartz, W Schuler Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 34 | 2019 |
| A framework for fast incremental interpretation during speech decoding W Schuler, S Wu, L Schwartz Computational Linguistics 35 (3), 313-343, 2009 | 34 | 2009 |
| A morphological analyzer for St. Lawrence Island/Central Siberian Yupik E Chen, L Schwartz Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 33 | 2018 |
| Chapter 8. The history and promise of machine translation L Schwartz Innovation and expansion in translation process research, 161-190, 2018 | 32 | 2018 |
| Bootstrapping a neural morphological analyzer for St. Lawrence Island Yupik from a finite-state transducer L Schwartz, E Chen, B Hunt, SLR Schreiner Proceedings of the Workshop on Computational Methods for Endangered Languages 1, 2019 | 26 | 2019 |
| Multi-source translation methods L Schwartz Proceedings of the 8th Conference of the Association for Machine Translation …, 2008 | 26 | 2008 |
| Semantically informed machine translation K Baker, S Bethard, M Bloodgood, R Brown, C Callison-Burch, ... SCALE summer workshop final report, Human Language Technology Center Of …, 2009 | 25 | 2009 |
| Neural polysynthetic language modelling L Schwartz, F Tyers, L Levin, C Kirov, P Littell, C Lo, E Prud'hommeaux, ... arXiv preprint arXiv:2005.05477, 2020 | 24 | 2020 |
| Community lexical access for an endangered polysynthetic language: An electronic dictionary for St. Lawrence Island Yupik B Hunt, E Chen, SLR Schreiner, L Schwartz Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 24 | 2019 |
| Machine Translation and Monolingual Postediting: The AFRL WMT-14 System LOB Schwartz, T Anderson, J Gwinnup, KM Young Ninth Workshop on Statistical Machine Translation, 186-194, 2014 | 20 | 2014 |
| Community-focused language documentation in support of language education and revitalization for St. Lawrence Island Yupik L Schwartz, SLR Schreiner, E Chen études inuit studies 43 (1), 291-311, 2019 | 18 | 2019 |
Chris Callison-BurchProfessor, University of PennsylvaniaVerified email at upenn.edu
