6 citations · 14 across the 4 of their papers we have counts for
4 papers
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model
Hao Zhang, You-Chi Cheng, Shankar Kumar +3
Capitalization normalization (truecasing) is the task of restoring the correct case (uppercase or lowercase) of noisy text. We propose a fast, accurate and compact two-level hierar…
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network
Hao Zhang, You-Chi Cheng, Shankar Kumar +2
Truecasing is the task of restoring the correct case (uppercase or lowercase) of noisy text generated either by an automatic system for speech recognition or machine translation or…
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities
Hao Zhang, Jae Ro, Richard Sproat
Breaking domain names such as openresearch into component words open and research is important for applications like Text-to-Speech synthesis and web search. We link this problem t…
Improving Performance of End-to-End ASR on Numeric Sequences
Cal Peyser, Hao Zhang, Tara N. Sainath +1
Recognizing written domain numeric utterances (e.g. I need $1.25.) can be challenging for ASR systems, particularly when numeric sequences are not seen during training. This out-of…