A statistical approach to machine translation
Computational Linguistics
International Journal of Human-Computer Studies
Squibs and discussions: human variation and lexical choice
Computational Linguistics - Summarization
Near-synonymy and lexical choice
Computational Linguistics
A comparison of alignment models for statistical machine translation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Summarizing neonatal time series data
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
SumTime-turbine: a knowledge-based system to communicate gas turbine time-series data
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Knowledge acquisition for natural language generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Bootstrapping lexical choice via multiple-sequence alignment
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Acquiring correct knowledge for natural language generation
Journal of Artificial Intelligence Research
Grounding the lexical semantics of verbs in visual perception using force dynamics and event logic
Journal of Artificial Intelligence Research
Generating English summaries of time series data using the Gricean maxims
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Choosing words in computer-generated weather forecasts
Artificial Intelligence - Special volume on connecting language to the world
Choosing words in computer-generated weather forecasts
Artificial Intelligence - Special volume on connecting language to the world
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Heuristic and rule-based knowledge acquisition: classification of numeral strings in text
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Comparison of numeral strings interpretation: rule-based and feature-based n-gram methods
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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We present an empirical corpus study of the meaning and usage of time phrases in weather forecasts; this is based on a novel corpus analysis technique where we align phrases from the forecast text with data extracted from a numerical weather simulation. Previous papers have summarised this analysis and discussed the substantial variations we discovered among individual writers, which was perhaps our most surprising finding. In this paper we describe our analysis procedure and results in considerably more detail, and also discuss our current work on using parallel text-data corpora to learn the meanings of other types of words.