DOI

The paper evaluates the contribution of morphological factors to the probability of sentence boundaries in Russian unscripted monologue. The analysis is based on multiple expert manual annotations of unscripted speech which allow obtaining fine-grained estimates of the probability of sentence boundary at each word junction. We used linear regression analysis to explore whether there is a relationship between sentence boundaries marked by the annotators and the grammatical features of the text. We focused on morphological factors related to the presence or absence of sentence boundaries.
Язык оригиналаанглийский
Название основной публикацииSpeech and Computer
Подзаголовок основной публикации19th International Conference, SPECOM 2017, Hatfield, UK, September 12-16, 2017, Proceedings
ИздательSpringer Nature
Страницы731-740
ISBN (электронное издание)978-3-319-66429-3
ISBN (печатное издание)978-3-319-66428-6
DOI
СостояниеОпубликовано - 2017
Событие19th International Conference on Speech and Computer - Hatfield, Великобритания
Продолжительность: 11 сен 201715 сен 2017

Серия публикаций

НазваниеLecture Notes in Computer Science
ИздательSpringer Nature
Том10458
ISSN (печатное издание)0302-9743

конференция

конференция19th International Conference on Speech and Computer
Сокращенное названиеSPECOM 2017
Страна/TерриторияВеликобритания
ГородHatfield
Период11/09/1715/09/17

    Предметные области Scopus

  • Гуманитарные науки и искусство (все)

ID: 71328452