Search Results for author: Arturo Argueta

Found 4 papers, 0 papers with code

Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units

no code implementations ACL 2019 Arturo Argueta, David Chiang

Operations using sparse structures are common in natural language models at the input and output layers, because these models operate on sequences over discrete alphabets.

Composing Finite State Transducers on GPUs

no code implementations ACL 2018 Arturo Argueta, David Chiang

Weighted finite-state transducers (FSTs) are frequently used in language processing to handle tasks such as part-of-speech tagging and speech recognition.

Part-Of-Speech Tagging speech-recognition +1

Decoding with Finite-State Transducers on GPUs

no code implementations EACL 2017 Arturo Argueta, David Chiang

Weighted finite automata and transducers (including hidden Markov models and conditional random fields) are widely used in natural language processing (NLP) to perform tasks such as morphological analysis, part-of-speech tagging, chunking, named entity recognition, speech recognition, and others.

Chunking Morphological Analysis +5

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