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COLING
2000
13 years 7 months ago
Language Identification In Unknown Signals
This paper describes algorithms and software developed to characterise and detect generic intelligent language-like features iu an input signal, using Natural Language Learning te...
John R. Elliott, Eric Atwell, Bill Whyte
AAAI
1994
13 years 7 months ago
Automated Postediting of Documents
Large amounts of low- to medium-quality English texts are now being produced by machine translation (MT) systems, optical character readers (OCR), and non-native speakers of Engli...
Kevin Knight, Ishwar Chander
ACMACE
2009
ACM
13 years 10 months ago
Critical gameplay
How do games effect the way we problem solve, socialize, or even view the world? When we shoot do we learn to destroy obstacles instead of work around them? Does the binary world ...
Lindsay Grace
CLEF
2003
Springer
13 years 11 months ago
Pruning Texts with NLP and Expanding Queries with an Ontology: TagSearch
: The basic line of our action is first to use natural language processing to prune the texts and the query, and secondly to use an ontology to expand the queries. Last year The sy...
Gil Francopoulo
ICDAR
1997
IEEE
13 years 10 months ago
Representing OCRed documents in HTML
ABSTRACT: OCR is an error-prone process. It is time-consuming and expensive to manually proofread OCR results. The errors remaining in OCRed texts can cause serious problems in rea...
Tao Hong, Sargur N. Srihari