activity
19942023
most citedA Stochastic Finite-State Word-Segmentation Algorithm for Chinese

322 citations · 409 across the 17 of their papers we have counts for

collaborators

18 papers

cs.CL2023

BiPhone: Modeling Inter Language Phonetic Influences in Text

Abhirut Gupta, Ananya B. Sai, Richard Sproat +5

A large number of people are forced to use the Web in a language they have low literacy in due to technology asymmetries. Written text in the second language (L2) from such users o…

cs.CL2023

Lenient Evaluation of Japanese Speech Recognition: Modeling Naturally Occurring Spelling Inconsistency

Shigeki Karita, Richard Sproat, Haruko Ishikawa

Word error rate (WER) and character error rate (CER) are standard metrics in Speech Recognition (ASR), but one problem has always been alternative spellings: If one's system transc…

cs.CL2023★ 4 cited

Beyond Arabic: Software for Perso-Arabic Script Manipulation

Alexander Gutkin, Cibu Johny, Raiomond Doctor +2

This paper presents an open-source software library that provides a set of finite-state transducer (FST) components and corresponding utilities for manipulating the writing systems…

cs.CL2022★ 3 cited

Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation

Llion Jones, Richard Sproat, Haruko Ishikawa +1

If one sees the place name Houston Mercer Dog Run in New York, how does one know how to pronounce it? Assuming one knows that Houston in New York is pronounced "how-ston" and not l…

cs.CL2022

Graphemic Normalization of the Perso-Arabic Script

Raiomond Doctor, Alexander Gutkin, Cibu Johny +2

Since its original appearance in 1991, the Perso-Arabic script representation in Unicode has grown from 169 to over 440 atomic isolated characters spread over several code pages re…

cs.CL2021

Structured abbreviation expansion in context

Kyle Gorman, Christo Kirov, Brian Roark +1

Ad hoc abbreviations are commonly found in informal communication channels that favor shorter messages. We consider the task of reversing these abbreviations in context to recover…

cs.CL2020★ 6 cited

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…

cs.CL2020★ 3 cited

Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview

Alena Butryna, Shan-Hui Cathy Chu, Isin Demirsahin +18

This paper presents an overview of a program designed to address the growing need for developing freely available speech resources for under-represented languages. At present we ha…

cs.CL2020★ 4 cited

NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task

Alexander Gutkin, Richard Sproat

This paper describes the NEMO submission to SIGTYP 2020 shared task which deals with prediction of linguistic typological features for multiple languages using the data derived fro…

cs.CL2019

Automatic Ambiguity Detection

Richard Sproat, Jan van Santen

Most work on sense disambiguation presumes that one knows beforehand -- e.g. from a thesaurus -- a set of polysemous terms. But published lists invariably give only partial coverag…

cs.CL2016★ 55 cited

RNN Approaches to Text Normalization: A Challenge

Richard Sproat, Navdeep Jaitly

This paper presents a challenge to the community: given a large corpus of written text aligned to its normalized spoken form, train an RNN to learn the correct normalization functi…

cs.CL2016

Minimally Supervised Written-to-Spoken Text Normalization

Ke Wu, Kyle Gorman, Richard Sproat

In speech-applications such as text-to-speech (TTS) or automatic speech recognition (ASR), \emph{text normalization} refers to the task of converting from a \emph{written} represen…

cmp-lg1996

Multilingual Text Analysis for Text-to-Speech Synthesis

Richard Sproat

We present a model of text analysis for text-to-speech (TTS) synthesis based on (weighted) finite-state transducers, which serves as the text-analysis module of the multilingual Be…

cmp-lg1996

An Efficient Compiler for Weighted Rewrite Rules

Mehryar Mohri, Richard Sproat

Context-dependent rewrite rules are used in many areas of natural language and speech processing. Work in computational phonology has demonstrated that, given certain conditions, s…

cmp-lg1996★ 7 cited

Compilation of Weighted Finite-State Transducers from Decision Trees

Richard Sproat, Michael Riley

We report on a method for compiling decision trees into weighted finite-state transducers. The key assumptions are that the tree predictions specify how to rewrite symbols from an…

cmp-lg1995★ 4 cited

Estimating Lexical Priors for Low-Frequency Syncretic Forms

Harald Baayen, Richard Sproat

Given a previously unseen form that is morphologically n-ways ambiguous, what is the best estimator for the lexical prior probabilities for the various functions of the form? We ar…

cmp-lg1994★ 1 cited

Text Analysis Tools in Spoken Language Processing

Michael Riley, Richard Sproat

This submission contains the postscript of the final version of the slides used in our ACL-94 tutorial.

cmp-lg1994★ 322 cited

A Stochastic Finite-State Word-Segmentation Algorithm for Chinese

Richard Sproat, Chilin Shih, William Gale +1

We present a stochastic finite-state model for segmenting Chinese text into dictionary entries and productively derived words, and providing pronunciations for these words; the met…