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Books and Theses
- 2009
[b1]Pi-Chuan Chang:
Improving Chinese-English machine translation through better source-side linguistic processing. Stanford University, USA, 2009
Journal Articles
- 2023
- [j2]Nae-Chyun Chen, Alexey Kolesnikov, Sidharth Goel, Taedong Yun
, Pi-Chuan Chang, Andrew Carroll:
Improving variant calling using population data and deep learning. BMC Bioinform. 24(1): 197 (2023) - 2021
- [j1]Taedong Yun, Helen Li, Pi-Chuan Chang, Michael F. Lin, Andrew Carroll, Cory Y. McLean:
Accurate, scalable cohort variant calls using DeepVariant and GLnexus. Bioinform. 36(24): 5582-5589 (2021)
Conference and Workshop Papers
- 2011
- [c9]Hiyan Alshawi, Pi-Chuan Chang, Michael Ringgaard:
Deterministic Statistical Mapping of Sentences to Underspecified Semantics. IWCS 2011 - 2010
- [c8]Slav Petrov, Pi-Chuan Chang, Michael Ringgaard, Hiyan Alshawi:
Uptraining for Accurate Deterministic Question Parsing. EMNLP 2010: 705-713 - 2009
- [c7]Pi-Chuan Chang, Huihsin Tseng, Dan Jurafsky, Christopher D. Manning:
Discriminative Reordering with Chinese Grammatical Relations Features. SSST@HLT-NAACL 2009: 51-59 - [c6]Pi-Chuan Chang, Daniel Jurafsky, Christopher D. Manning:
Disambiguating "DE" for Chinese-English Machine Translation. WMT@EACL 2009: 215-223 - 2008
- [c5]Pi-Chuan Chang, Michel Galley, Christopher D. Manning:
Optimizing Chinese Word Segmentation for Machine Translation Performance. WMT@ACL 2008: 224-232 - 2007
- [c4]Pi-Chuan Chang, Kristina Toutanova:
A Discriminative Syntactic Word Order Model for Machine Translation. ACL 2007 - 2006
- [c3]William Morgan, Pi-Chuan Chang, Surabhi Gupta, Jason M. Brenier:
Automatically Detecting Action Items in Audio Meeting Recordings. SIGDIAL Workshop 2006: 96-103 - 2005
- [c2]Huihsin Tseng, Pi-Chuan Chang, Galen Andrew, Daniel Jurafsky, Christopher D. Manning:
A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005. SIGHAN@IJCNLP 2005 2005 - 2003
- [c1]Pi-Chuan Chang, Shuo-Peng Liao, Lin-Shan Lee:
Improved Chinese broadcast news transcription by language modeling with temporally consistent training corpora and iterative phrase extraction. INTERSPEECH 2003: 421-424
Informal and Other Publications
- 2023
- [i3]Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan:
Towards Generalist Biomedical AI. CoRR abs/2307.14334 (2023) - 2022
- [i2]Anastasiya Belyaeva, Joel Shor, Daniel E. Cook, Kishwar Shafin, Daniel Liu, Armin Töpfer, Aaron M. Wenger, William J. Rowell, Howard Yang, Alexey Kolesnikov, Cory Y. McLean, Maria Nattestad, Andrew Carroll, Pi-Chuan Chang:
Knowledge distillation for fast and accurate DNA sequence correction. CoRR abs/2211.09862 (2022) - 2019
- [i1]Ren Yi, Pi-Chuan Chang, Gunjan Baid, Andrew Carroll:
Learning from Data-Rich Problems: A Case Study on Genetic Variant Calling. CoRR abs/1911.05151 (2019)
Coauthor Index
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