343 citations · 533 across the 25 of their papers we have counts for
9 papers · 1 filter
Correcting Length Bias in Neural Machine Translation
Kenton Murray, David Chiang
We study two problems in neural machine translation (NMT). First, in beam search, whereas a wider beam should in principle help translation, it often hurts NMT. Second, NMT has a t…
Neural Machine Translation of Text from Non-Native Speakers
Antonios Anastasopoulos, Alison Lui, Toan Nguyen +1
Neural Machine Translation (NMT) systems are known to degrade when confronted with noisy data, especially when the system is trained only on clean data. In this paper, we show that…
Growing Better Graphs With Latent-Variable Probabilistic Graph Grammars
Xinyi Wang, Salvador Aguinaga, Tim Weninger +1
Recent work in graph models has found that probabilistic hyperedge replacement grammars (HRGs) can be extracted from graphs and used to generate new random graphs with graph proper…
Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource
Antonis Anastasopoulos, Marika Lekakou, Josep Quer +3
Most work on part-of-speech (POS) tagging is focused on high resource languages, or examines low-resource and active learning settings through simulated studies. We evaluate POS ta…
Algorithms and Training for Weighted Multiset Automata and Regular Expressions
Justin DeBenedetto, David Chiang
Multiset automata are a class of automata for which the symbols can be read in any order and obtain the same result. We investigate weighted multiset automata and show how to const…
Composing Finite State Transducers on GPUs
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. There has been previous w…