Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping

Mirella De Sisto; Dimitar Shterionov; Irene Murtagh; Myriam Vermeerbergen; Lorraine Leeson

Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping

Mirella De Sisto
, Dimitar Shterionov
, Irene Murtagh
, Myriam Vermeerbergen
, Lorraine Leeson

School of Electrical and Electronic Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper addresses the tasks of sign segmentation and segment-meaning mapping in the context of sign language (SL) recognition. It aims to give an overview of the linguistic properties of SL, such as coarticulation and simultaneity, which make these tasks complex. A better understanding of SL structure is the necessary ground for the design and development of SL recognition and segmentation methodologies, which are fundamental for machine translation of these languages. Based on this preliminary exploration, a proposal for mapping segments to meaning in the form of an agglomerate of lexical and non-lexical information is introduced.

Original language	English
Pages	98-103
Number of pages	6
Publication status	Published - 2021
Event	1st International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2021 - Virtual, Online, United States Duration: 16 Aug 2021 → 20 Aug 2021

Conference

Conference	1st International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2021
Country/Territory	United States
City	Virtual, Online
Period	16/08/21 → 20/08/21

Cite this

@conference{057edcb851234284aa9208c2b637d427,

title = "Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping",

abstract = "This paper addresses the tasks of sign segmentation and segment-meaning mapping in the context of sign language (SL) recognition. It aims to give an overview of the linguistic properties of SL, such as coarticulation and simultaneity, which make these tasks complex. A better understanding of SL structure is the necessary ground for the design and development of SL recognition and segmentation methodologies, which are fundamental for machine translation of these languages. Based on this preliminary exploration, a proposal for mapping segments to meaning in the form of an agglomerate of lexical and non-lexical information is introduced.",

author = "\{De Sisto\}, Mirella and Dimitar Shterionov and Irene Murtagh and Myriam Vermeerbergen and Lorraine Leeson",

note = "Publisher Copyright: {\textcopyright} 2021 Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2021. All rights reserved.; 1st International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2021 ; Conference date: 16-08-2021 Through 20-08-2021",

year = "2021",

language = "English",

pages = "98--103",

}

Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping. / De Sisto, Mirella; Shterionov, Dimitar; Murtagh, Irene et al.
2021. 98-103 Paper presented at 1st International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2021, Virtual, Online, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping

AU - De Sisto, Mirella

AU - Shterionov, Dimitar

AU - Murtagh, Irene

AU - Vermeerbergen, Myriam

AU - Leeson, Lorraine

PY - 2021

Y1 - 2021

N2 - This paper addresses the tasks of sign segmentation and segment-meaning mapping in the context of sign language (SL) recognition. It aims to give an overview of the linguistic properties of SL, such as coarticulation and simultaneity, which make these tasks complex. A better understanding of SL structure is the necessary ground for the design and development of SL recognition and segmentation methodologies, which are fundamental for machine translation of these languages. Based on this preliminary exploration, a proposal for mapping segments to meaning in the form of an agglomerate of lexical and non-lexical information is introduced.

AB - This paper addresses the tasks of sign segmentation and segment-meaning mapping in the context of sign language (SL) recognition. It aims to give an overview of the linguistic properties of SL, such as coarticulation and simultaneity, which make these tasks complex. A better understanding of SL structure is the necessary ground for the design and development of SL recognition and segmentation methodologies, which are fundamental for machine translation of these languages. Based on this preliminary exploration, a proposal for mapping segments to meaning in the form of an agglomerate of lexical and non-lexical information is introduced.

UR - https://www.scopus.com/pages/publications/85128347857

M3 - Paper

AN - SCOPUS:85128347857

SP - 98

EP - 103

T2 - 1st International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2021

Y2 - 16 August 2021 through 20 August 2021

ER -

Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping

Abstract

Conference

Fingerprint

Cite this