343 citations · 533 across the 25 of their papers we have counts for
7 papers · 1 filter
Improving Lexical Choice in Neural Machine Translation
Toan Q. Nguyen, David Chiang
We explore two solutions to the problem of mistranslating rare words in neural machine translation. First, we argue that the standard output layer, which computes the inner product…
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation
Toan Q. Nguyen, David Chiang
We present a simple method to improve neural translation of a low-resource language pair using parallel data from a related, also low-resource, language pair. The method is based o…
Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation
Huadong Chen, Shujian Huang, David Chiang +2
Pairwise ranking methods are the basis of many widely used discriminative training approaches for structure prediction problems in natural language processing(NLP). Decomposing the…
Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder
Huadong Chen, Shujian Huang, David Chiang +1
Most neural machine translation (NMT) models are based on the sequential encoder-decoder framework, which makes no use of syntactic information. In this paper, we improve this mode…
A case study on using speech-to-translation alignments for language documentation
Antonios Anastasopoulos, David Chiang
For many low-resource or endangered languages, spoken language resources are more likely to be annotated with translations than with transcriptions. Recent work exploits such annot…
Decoding with Finite-State Transducers on GPUs
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 a…