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Coherence Understanding Through Cohesion Markers: The Case of Child Spoken Language. / Eismont, Polina ; Riekhakaynen, Elena ; Metelyagin, Vladislav .

Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18–22, 2018, Proceedings. Cham : Springer Nature, 2018. p. 145-154 (Lecture Notes in Computer Science ; Vol. 11096).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Eismont, P, Riekhakaynen, E & Metelyagin, V 2018, Coherence Understanding Through Cohesion Markers: The Case of Child Spoken Language. in Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18–22, 2018, Proceedings. Lecture Notes in Computer Science , vol. 11096, Springer Nature, Cham, pp. 145-154, 20th International Conference on Speech and Computer, Leipzig, Germany, 18/09/18. https://doi.org/10.1007/978-3-319-99579-3_16

APA

Eismont, P., Riekhakaynen, E., & Metelyagin, V. (2018). Coherence Understanding Through Cohesion Markers: The Case of Child Spoken Language. In Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18–22, 2018, Proceedings (pp. 145-154). (Lecture Notes in Computer Science ; Vol. 11096). Springer Nature. https://doi.org/10.1007/978-3-319-99579-3_16

Vancouver

Eismont P, Riekhakaynen E, Metelyagin V. Coherence Understanding Through Cohesion Markers: The Case of Child Spoken Language. In Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18–22, 2018, Proceedings. Cham: Springer Nature. 2018. p. 145-154. (Lecture Notes in Computer Science ). https://doi.org/10.1007/978-3-319-99579-3_16

Author

Eismont, Polina ; Riekhakaynen, Elena ; Metelyagin, Vladislav . / Coherence Understanding Through Cohesion Markers: The Case of Child Spoken Language. Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18–22, 2018, Proceedings. Cham : Springer Nature, 2018. pp. 145-154 (Lecture Notes in Computer Science ).

BibTeX

@inproceedings{79d9059a34ac4827b1a17f94304643e4,
title = "Coherence Understanding Through Cohesion Markers: The Case of Child Spoken Language",
abstract = "Coherence and cohesion are crucial for organizing text semantics and syntax. They both may be described in terms of topic-focus structure, but the surface syntactic topic-focus structure does not coincide with that of deep semantics, and the automatic analysis of coherence which refers to the meaning of the whole text is complicated. The paper presents a Topic-Focus Annotating Parser (TFAP) that was trained on the corpus of Russian unprepared child oral narratives (213 narratives elicited by native Russian children aged from two years seven months to seven years six months). According to the results, children develop their narrative skills both in coherence and cohesion, but at the earlier stages of language acquisition, parsing errors reflect the speaker{\textquoteright}s low level of narrative skills, while at the later stages (from five years seven months to seven years six months), when the basic rules of narrative organization are already acquired, parsing errors may be caused by the deficiencies of the parser. The topic-focus schemes we obtained support Leonid Sakharny{\textquoteright}s theoretical approach to cognitive representation of coherence.",
keywords = "Child language, Coherence, Cohesion, Spoken narrative, Topic-Focus Annotating Parser",
author = "Polina Eismont and Elena Riekhakaynen and Vladislav Metelyagin",
note = "Eismont P., Metelyagin V., Riekhakaynen E. (2018) Coherence Understanding Through Cohesion Markers: The Case of Child Spoken Language. In: Karpov A., Jokisch O., Potapova R. (eds) Speech and Computer. SPECOM 2018. Lecture Notes in Computer Science, vol 11096. Springer, Cham. https://doi.org/10.1007/978-3-319-99579-3_16; 20th International Conference on Speech and Computer, SPECOM 2018 ; Conference date: 18-09-2018 Through 22-09-2018",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-99579-3_16",
language = "English",
isbn = "978-3-319-99578-6",
series = "Lecture Notes in Computer Science ",
publisher = "Springer Nature",
pages = "145--154",
booktitle = "Speech and Computer",
address = "Germany",

}

RIS

TY - GEN

T1 - Coherence Understanding Through Cohesion Markers: The Case of Child Spoken Language

AU - Eismont, Polina

AU - Riekhakaynen, Elena

AU - Metelyagin, Vladislav

N1 - Eismont P., Metelyagin V., Riekhakaynen E. (2018) Coherence Understanding Through Cohesion Markers: The Case of Child Spoken Language. In: Karpov A., Jokisch O., Potapova R. (eds) Speech and Computer. SPECOM 2018. Lecture Notes in Computer Science, vol 11096. Springer, Cham. https://doi.org/10.1007/978-3-319-99579-3_16

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Coherence and cohesion are crucial for organizing text semantics and syntax. They both may be described in terms of topic-focus structure, but the surface syntactic topic-focus structure does not coincide with that of deep semantics, and the automatic analysis of coherence which refers to the meaning of the whole text is complicated. The paper presents a Topic-Focus Annotating Parser (TFAP) that was trained on the corpus of Russian unprepared child oral narratives (213 narratives elicited by native Russian children aged from two years seven months to seven years six months). According to the results, children develop their narrative skills both in coherence and cohesion, but at the earlier stages of language acquisition, parsing errors reflect the speaker’s low level of narrative skills, while at the later stages (from five years seven months to seven years six months), when the basic rules of narrative organization are already acquired, parsing errors may be caused by the deficiencies of the parser. The topic-focus schemes we obtained support Leonid Sakharny’s theoretical approach to cognitive representation of coherence.

AB - Coherence and cohesion are crucial for organizing text semantics and syntax. They both may be described in terms of topic-focus structure, but the surface syntactic topic-focus structure does not coincide with that of deep semantics, and the automatic analysis of coherence which refers to the meaning of the whole text is complicated. The paper presents a Topic-Focus Annotating Parser (TFAP) that was trained on the corpus of Russian unprepared child oral narratives (213 narratives elicited by native Russian children aged from two years seven months to seven years six months). According to the results, children develop their narrative skills both in coherence and cohesion, but at the earlier stages of language acquisition, parsing errors reflect the speaker’s low level of narrative skills, while at the later stages (from five years seven months to seven years six months), when the basic rules of narrative organization are already acquired, parsing errors may be caused by the deficiencies of the parser. The topic-focus schemes we obtained support Leonid Sakharny’s theoretical approach to cognitive representation of coherence.

KW - Child language

KW - Coherence

KW - Cohesion

KW - Spoken narrative

KW - Topic-Focus Annotating Parser

UR - http://www.scopus.com/inward/record.url?scp=85053769766&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-99579-3_16

DO - 10.1007/978-3-319-99579-3_16

M3 - Conference contribution

SN - 978-3-319-99578-6

T3 - Lecture Notes in Computer Science

SP - 145

EP - 154

BT - Speech and Computer

PB - Springer Nature

CY - Cham

T2 - 20th International Conference on Speech and Computer

Y2 - 18 September 2018 through 22 September 2018

ER -

ID: 71303139