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nlp:fsas_and_fsts [2021/05/15 21:51] jmflanignlp:fsas_and_fsts [2023/11/30 05:53] (current) – [Papers] jmflanig
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   * [[https://arxiv.org/pdf/1701.03038.pdf|Argueta & Chiang 2017 - Decoding with Finite-State Transducers on GPUs]]   * [[https://arxiv.org/pdf/1701.03038.pdf|Argueta & Chiang 2017 - Decoding with Finite-State Transducers on GPUs]]
   * [[https://arxiv.org/pdf/1805.06383.pdf|Argueta & Chiang 2018 - Composing Finite State Transducers on GPUs]]   * [[https://arxiv.org/pdf/1805.06383.pdf|Argueta & Chiang 2018 - Composing Finite State Transducers on GPUs]]
 +  * [[https://aclanthology.org/W19-3112.pdf|Suresh et al 2019 - Distilling Weighted Finite Automata from Arbitrary Probabilistic Models]] Talks about converting a neural language model into a WFSA
 +  * [[https://arxiv.org/pdf/2310.05161.pdf|Svete & Cotterell 2023 - Recurrent Neural Language Models as Probabilistic Finite-state Automata]]
  
 ===== Neural Versions ===== ===== Neural Versions =====
   * RNNs can the thought of as the neural version of FSAs, see [[https://arxiv.org/pdf/2004.08500.pdf|Merrill 2020]]   * RNNs can the thought of as the neural version of FSAs, see [[https://arxiv.org/pdf/2004.08500.pdf|Merrill 2020]]
 +
 +===== Conferences =====
 +  * [[https://aclanthology.org/venues/fsmnlp/|International Conference on Finite State Methods for Natural Language Processing]]
  
 ===== Related Pages ===== ===== Related Pages =====
   * [[Morphological Analysis]]   * [[Morphological Analysis]]
  
nlp/fsas_and_fsts.1621115503.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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