Similarity between words is becoming a generic problem for many applications of computational linguistics, and computing word similarities is determined by word representations. Inspired by the analogies between words and lymphocytes, a lymphocyte-style word representation is proposed. The word representation is built on the basis of dependency syntax of sentences and represent word context as ...

We describe the methods and resources used to build FinnTreeBank-3, a 76.4 million token corpus of Finnish with automatically produced morphological and dependency syntax analyses. Starting from a definition of the target dependency scheme, we show how existing resources are transformed to conform to this definition and subsequently used to develop a parsing pipeline capable of processing a lar...

We describe the use of factor analysis for assessing food habits in Japanese-Brazilians. Dietary data from 1,283 participants of a cross-sectional study were used. Besides statistical criteria, we also used the conceptual meaning of identified profiles to obtain scores for dietary patterns (Japanese or Western profile). Paired Student t test, linear regression and Poisson models were used to ve...

xxviii Acknowledgements xxix

Based on the model of matrix, a new algorithm for original pairwise testing data set generation is first proposed, and then, based on which, a sufficient and necessary condition for the minimum pairwise testing data set generation of the testing system T is given, where T has n different parameters, each parameter has n different values, and n is a prime number. Finally, according to the given ...

This paper describes the input speciication language of the WAG Sentence Generation system. The input is described in terms of Halliday's (1978) three meaning components, ideational meaning (the propositional content to be expressed), inter-actional meaning (what the speaker intends the listener to do in making the utterance), and textual meaning (how the content is structured as a message , in...

Statistical natural language generation from abstract meaning representations presupposes large corpora consisting of text–meaning pairs. Even though such corpora exist nowadays, or could be constructed using robust semantic parsing, the simple alignment between text and meaning representation is too coarse for developing robust (statistical) NLG systems. By reformatting semantic representation...

1) Introduction. a) Information and meanings are present everywhere around us as well as within ourselves. b) Specific studies have been implemented in order to link information and meaning: Semiotics, Biosemiotics. Analytic Philosophy, Linguistics, Phenomenology. Psychology. c) No general coverage is available for the notion of meaning. d) We propose to fill this lack by a systemic approach to...