Search Results for author: Chu-Cheng Lin

Found 9 papers, 0 papers with code

Limitations of Autoregressive Models and Their Alternatives

no code implementations NAACL 2021 Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner

Standard autoregressive language models perform only polynomial-time computation to compute the probability of the next symbol.

Language Modelling

Neural Finite-State Transducers: Beyond Rational Relations

no code implementations NAACL 2019 Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner

We introduce neural finite state transducers (NFSTs), a family of string transduction models defining joint and conditional probability distributions over pairs of strings.

Neural Particle Smoothing for Sampling from Conditional Sequence Models

no code implementations NAACL 2018 Chu-Cheng Lin, Jason Eisner

We introduce neural particle smoothing, a sequential Monte Carlo method for sampling annotations of an input string from a given probability model.

Unsupervised POS Induction with Word Embeddings

no code implementations HLT 2015 Chu-Cheng Lin, Waleed Ammar, Chris Dyer, Lori Levin

Unsupervised word embeddings have been shown to be valuable as features in supervised learning problems; however, their role in unsupervised problems has been less thoroughly explored.

POS Word Embeddings

Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus

no code implementations14 Dec 2014 Joseph Chee Chang, Chu-Cheng Lin

However, people who are capable of using more than one language often communicate using multiple languages at the same time.

Machine Translation Part-Of-Speech Tagging +2

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