activity
20192026
most citedThird DIHARD Challenge Evaluation Plan

13 citations · 20 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CL2025

Evaluating Speech-to-Text Systems with PennSound

Jonathan Wright, Mark Liberman, Neville Ryant +1

A random sample of nearly 10 hours of speech from PennSound, the world's largest online collection of poetry readings and discussions, was used as a benchmark to evaluate several c…

cs.CL2023★ 1 cited

Improved POS tagging for spontaneous, clinical speech using data augmentation

Seth Kulick, Neville Ryant, David J. Irwin +2

This paper addresses the problem of improving POS tagging of transcripts of speech from clinical populations. In contrast to prior work on parsing and POS tagging of transcribed sp…

cs.CL2022

A Part-of-Speech Tagger for Yiddish

Seth Kulick, Neville Ryant, Beatrice Santorini +2

We describe the construction and evaluation of a part-of-speech tagger for Yiddish. This is the first step in a larger project of automatically assigning part-of-speech tags and sy…

cs.CL2021

Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis

Seth Kulick, Neville Ryant, Beatrice Santorini

We present the first parsing results on the Penn-Helsinki Parsed Corpus of Early Modern English (PPCEME), a 1.9 million word treebank that is an important resource for research in…

cs.CL2021★ 2 cited

Automatic recognition of suprasegmentals in speech

Jiahong Yuan, Neville Ryant, Xingyu Cai +2

This study reports our efforts to improve automatic recognition of suprasegmentals by fine-tuning wav2vec 2.0 with CTC, a method that has been successful in automatic speech recogn…

cs.CL2020★ 1 cited

Parsing Early Modern English for Linguistic Search

Seth Kulick, Neville Ryant

We investigate the question of whether advances in NLP over the last few years make it possible to vastly increase the size of data usable for research in historical syntax. This b…