Natural language multiprocessing: a case study
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Accelerating the CKY Parsing Using FPGAs
HiPC '02 Proceedings of the 9th International Conference on High Performance Computing
Automatic Generation of Portable Parallel Natural Language Parsers
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
A parsing: fast exact Viterbi parse selection
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Learning accurate, compact, and interpretable tree annotation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Scalable Parallel Programming with CUDA
Queue - GPU Computing
TAG, dynamic programming, and the perceptron for efficient, feature-rich parsing
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Hierarchical search for parsing
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A parallel parser for spoken natural language
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Programming Massively Parallel Processors: A Hands-on Approach
Programming Massively Parallel Processors: A Hands-on Approach
Efficient matrix-encoded grammars and low latency parallelization strategies for CYK
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
Efficient matrix-encoded grammars and low latency parallelization strategies for CYK
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
HPar: A practical parallel parser for HTML--taming HTML complexities for parallel parsing
ACM Transactions on Architecture and Code Optimization (TACO)
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Low-latency solutions for syntactic parsing are needed if parsing is to become an integral part of user-facing natural language applications. Unfortunately, most state-of-the-art constituency parsers employ large probabilistic context-free grammars for disambiguation, which renders them impractical for real-time use. Meanwhile, Graphics Processor Units (GPUs) have become widely available, offering the opportunity to alleviate this bottleneck by exploiting the fine-grained data parallelism found in the CKY algorithm. In this paper, we explore the design space of parallelizing the dynamic programming computations carried out by the CKY algorithm. We use the Compute Unified Device Architecture (CUDA) programming model to reimplement a state-of-the-art parser, and compare its performance on two recent GPUs with different architectural features. Our best results show a 26-fold speedup compared to a sequential C implementation.