TY - GEN

T1 - In search of sentence boundaries in spontaneous speech

AU - Bogdanova-Beglarian, Natalia

N1 - Bogdanova-Beglarian N. In Search of Phrase Boundaries in Spontaneous Speech // SPECOM 2017. Lecture Notes in Artificial Intelligence, LNAI, vol. 10458. – Springer, Switzerland, 2017. – Pp. 456-463.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Oral text is certainly discrete. It is built of “small bricks”, units of not only lexical but also the higher syntactical level. Common syntagmatic pauses, hesitative pauses such as physical (unfilled ones including breaks of clauses), sound pauses (e-e, m-m), and verbal (vot, kak eto, nu, znachit etc.) are markers of this discreetness. However, that reveals neither syntagma nor sentence as a unit to describe a syntactic structure of an oral text. Any type of pauses may occur in any place of an audio sequence. Thus, the search of sentences in spontaneous speech is quite complicated. In order to obtain such units a methodic of coercive punctuation that was used for marking the spontaneous monologues from the collection of oral texts named «Balanced Annotated Textotec» could be offered. The testee (philology experts) were asked to mark ends of the sentences by putting a period in the transcripts where neither pauses nor punctuation had been marked. The testee could only rely on the syntactic structure of the text and the connection between words and predicate centers. Involving more than twenty experts in an experiment provides more statistically accurate results. In this work we describe the results of our experiment and discuss further perspectives how those results can be used for automatic search of sentence boundaries in spontaneous speech.

AB - Oral text is certainly discrete. It is built of “small bricks”, units of not only lexical but also the higher syntactical level. Common syntagmatic pauses, hesitative pauses such as physical (unfilled ones including breaks of clauses), sound pauses (e-e, m-m), and verbal (vot, kak eto, nu, znachit etc.) are markers of this discreetness. However, that reveals neither syntagma nor sentence as a unit to describe a syntactic structure of an oral text. Any type of pauses may occur in any place of an audio sequence. Thus, the search of sentences in spontaneous speech is quite complicated. In order to obtain such units a methodic of coercive punctuation that was used for marking the spontaneous monologues from the collection of oral texts named «Balanced Annotated Textotec» could be offered. The testee (philology experts) were asked to mark ends of the sentences by putting a period in the transcripts where neither pauses nor punctuation had been marked. The testee could only rely on the syntactic structure of the text and the connection between words and predicate centers. Involving more than twenty experts in an experiment provides more statistically accurate results. In this work we describe the results of our experiment and discuss further perspectives how those results can be used for automatic search of sentence boundaries in spontaneous speech.

KW - Discreetness of the oral text

KW - Phrase boundary

KW - Sentence

KW - Speech corpus

KW - Spontaneous monologue

KW - Syntagma

KW - speech disfluencies, phrase breaks, spoken Russian, sociophonetics

UR - http://www.scopus.com/inward/record.url?scp=85029542337&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-66429-3_45

DO - 10.1007/978-3-319-66429-3_45

M3 - Conference contribution

AN - SCOPUS:85029542337

SN - 9783319664286

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 456

EP - 463

BT - Speech and Computer - 19th International Conference, SPECOM 2017, Proceedings

A2 - Karpov, Alexey

A2 - Mporas, Iosif

A2 - Potapova, Rodmonga

PB - Springer Nature

T2 - 19th International Conference on Speech and Computer

Y2 - 11 September 2017 through 15 September 2017

ER -