2002
DOI: 10.1007/3-540-46014-4_15
|View full text |Cite
|
Sign up to set email alerts
|

Transforming Spontaneous Telegraphic Language to Well-Formed Greek Sentences for Alternative and Augmentative Communication

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
4
0
1

Year Published

2002
2002
2017
2017

Publication Types

Select...
3
2
2

Relationship

2
5

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 4 publications
0
4
0
1
Order By: Relevance
“…This is a problem when the communication counterpart expects to hear typical and intelligible utterances. We have developed a novel technique for expanding spontaneous telegraphic input to well-formed sentences, by adopting a feature-based surface realization for natural language generation [Karberis and Kouroupetroglou 2002]. …”
Section: Ithaca Componentsmentioning
confidence: 99%
“…This is a problem when the communication counterpart expects to hear typical and intelligible utterances. We have developed a novel technique for expanding spontaneous telegraphic input to well-formed sentences, by adopting a feature-based surface realization for natural language generation [Karberis and Kouroupetroglou 2002]. …”
Section: Ithaca Componentsmentioning
confidence: 99%
“…Furthermore, many cognitive impaired users, or users with learning problems are not able to from correct sentences. We have developed a novel technique for expanding spontaneous telegraphic input to well-formed sentences, by adopting a featurebased surface realization for Natural Language generation [25]. This component repairs grammatically and syntactically ill sentences while maintaining the semantics.…”
Section: Implementationsmentioning
confidence: 99%
“…In a sense, the users of symbol-based communication express themselves in their own language of symbol sequences. The sequences are often very brief and most of the words are omitted from them [3]. In some cases, the order of symbols within a message is also arbitrary [14].…”
Section: Introductionmentioning
confidence: 99%
“…There have been some attempts in the literature to generate sentences from symbol sequences in real time. These approaches are mostly rule-based, and languagedependent [3,4,7,9].…”
Section: Introductionmentioning
confidence: 99%