An Example-Based Approach to Translating Sign Language (2005)
| Venue: | In Workshop Example-Based Machine Translation (MT X–05 |
| Citations: | 20 - 3 self |
BibTeX
@INPROCEEDINGS{Morrissey05anexample-based,
author = {Sara Morrissey},
title = {An Example-Based Approach to Translating Sign Language},
booktitle = {In Workshop Example-Based Machine Translation (MT X–05},
year = {2005},
pages = {109--116}
}
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Abstract
Users of sign languages are often forced to use a language in which they have reduced competence simply because documentation in their preferred format is not available. While some research exists on translating between natural and sign languages, we present here what we believe to be the first attempt to tackle this problem using an example-based (EBMT) approach. Having obtained a set of English–Dutch Sign Language examples, we employ an approach to EBMT using the ‘Marker Hypothesis ’ (Green, 1979), analogous to the successful system of (Way & Gough, 2003), (Gough & Way, 2004a) and (Gough & Way, 2004b). In a set of experiments, we show that encouragingly good translation quality may be obtained using such an approach. Key-words: Example-based machine translation, sign languages, Marker Hypothesis, ECHO corpus. 1
Citations
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| 18 | The Architecture of an English-Text-to-SignLanguages Translation System - Sáfár, Marshall - 2002 |
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| 10 | Demographic, Stanford Achievement Test - 8th Edition for Deaf and Hard of Hearing Students: Reading Comprehension Subgroup Results - Holt - 1991 |
| 8 | English to American Sign Language Machine Translation of Weather Reports - Grieve-Smith - 1999 |
| 4 | The Irish Deaf Community (Volume 2): The Structure of Irish Sign Language. The Linguistics Institute of - Ó’Baoill, Matthews - 2000 |
| 1 | Example-Based Controlled Translation - 2004a |
| 1 | Robust LargeScale EBMT with Marker-Based Segmentation - 2004b |
