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"Margaret Masterman was a pioneer in the field of computational linguistics. Working in the earliest days of language processing by computer, she believed that meaning, not grammar, was the key to understanding languages, and that machines could determine the meaning of sentences. She was able, even on simple machines, to undertake sophisticated experiments in machine translation, and carried out important work on the use of semantic codings and thesauri to determine the meaning structure of text. This volume brings together Masterman’s groundbreaking papers for the first time. Through his insightful commentaries, Yorick Wilks argues that Masterman came close to developing a computational theory of language meaning based on the ideas of Wittgenstein, and shows the importance of her work in the philosophy of science and the nature of iconic languages. Of key interest in computational linguistics and artificial intelligence."

"This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012. The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections, NLP system architecture, lexical resources, morphology and syntax, word sense disambiguation and named entity recognition, semantics and discourse, sentiment analysis, opinion mining, and emotions, natural language generation, machine translation and multilingualism; text categorization and clustering, information extraction and text mining, information retrieval and question answering, document summarization, and applications."

"This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012. The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections, NLP system architecture, lexical resources, morphology and syntax, word sense disambiguation and named entity recognition, semantics and discourse, sentiment analysis, opinion mining, and emotions, natural language generation, machine translation and multilingualism; text categorization and clustering, information extraction and text mining, information retrieval and question answering, document summarization, and applications."