PunkProse [software]

Öktem, Alp

doi:https://doi.org/10.34810/data484

PunkProse [software]

Citation

Öktem A. PunkProse [software]. Repositori Digital de la UPF: Barcelona; 2018. Disponible a: http://hdl.handle.net/10230/33982

Abstract

Punctuation marks support understandability and readability in written language. In spoken language, punctuation of the transcribed speech is influenced by two phenomena: (1) syntax and (2) prosody. We present a software architecture that makes it possible to train punctuation restoration models from any combination of lexical, morphosyntactic, prosodic and acoustic features. Architecture is language independent and feeds on word-segmented data. A dataset compiled from English TED talks is given in http://hdl.handle.net/10230/33981

Description

This software is stored and maintained in the following github repository: https://github.com/alpoktem/punkProse Instructions to use is explained there in detail.

DOI

https://doi.org/10.34810/data484

Referenced by

http://hdl.handle.net/10230/33936
http://hdl.handle.net/10230/33981

Related Publication/Data

Publicació relacionada: Öktem A, Farrús M, Wanner L. Attentional parallel RNNs for generating punctuation in transcribed speech. In: Camelin N, Estève Y, Martín-Vide C. Statistical Language and Speech Processing. 5th International Conference SLSP 2017; 2017 Oct 23-25; Le Mans, France. Cham: Springer, 2017. p. 131-42. (LNCS; no. 10583 ). DOI: 10.1007/978-3-319-68456-7_11 http://hdl.handle.net/10230/33936
https://github.com/alpoktem/punkProse
Dades relacionades: http://hdl.handle.net/10230/33981

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