30.520, Books: Words Divide, Pictographs Unite: Sevens

[The LINGUIST List]

LINGUIST List: Vol-30-520. Fri Feb 01 2019. ISSN: 1069 - 4875.

Subject: 30.520, Books: Words Divide, Pictographs Unite: Sevens

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Date: Fri, 01 Feb 2019 11:58:15
From: J. van Duijn Genet [lot at uva.nl]
Subject: Words Divide, Pictographs Unite: Sevens

 


Title: Words Divide, Pictographs Unite 
Subtitle: Pictograph Communication Technologies for People with an Intellectual
Disability 
Series Title: LOT Dissertation Series  

Publication Year: 2018 
Publisher: Netherlands Graduate School of Linguistics / Landelijke (LOT)
	   http://www.lotpublications.nl/
	

Book URL: https://www.lotpublications.nl/words-divide-pictographs-unite-pictograph-communication-technologies-for-people-with-an-intellectual-disability 


Author: Leen Sevens

Paperback: ISBN:  9789460933097 Pages: 386 Price: Europe EURO 38.00


Abstract:

In order to improve the accessibility of the Internet for people with an
intellectual disability (ID), we develop a set of tools that automatically
translate Dutch natural language text into pictographs and vice versa,
allowing people with limited literacy skills to read and write status updates,
emails, and chat messages in online environments.

For the conversion of texts into pictographs, we start from an existing
system. We evaluate the baseline Text-to-Pictograph translation system using a
combination of automated metrics, manual assessments, and user studies, and we
propose three major improvements: We create a spelling correction tool for
people with ID, we develop a syntactic simplification tool and a temporality
detection module, and we implement a word sense disambiguation tool for
improved semantic analysis. The added value of each of these components is
evaluated in depth.

Conversely, the Pictograph-to-Text translation tool provides help in
constructing textual messages by allowing the user to input a series of
pictographs, and translates these messages into natural language text. The
challenge in Pictograph-to-Text translation is twofold. The first task
concerns the development of an accessible interface that allows people with ID
to find the pictographs of their choice. The second task is the actual
development of the Pictograph-to-Text translation engine. We discuss a variety
of approaches, including language modelling and (neural) machine translation
techniques, toward the generation of rich natural language text from
underspecified pictograph input.
 



Linguistic Field(s): Applied Linguistics

Subject Language(s): Dutch (nld)


Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=133054




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