Text Tionary

These days the most efficient way to communicate is through instant communication: Texting! But what the heck do all those abbreviations mean? Do you know what this means: BY&M, I H8- S/T, GTTP! Thr Txt u SIT? If not, you need Text-tionary: The ultimate, informative, TEXT abbreviation de-coder, with helpful tips to become an expert texter! So what's the translation? Between you and me I hate small talk. Get to the point. Through text you stay in touch.

Over 1,000 of the most difficult words found in the "Basic Text" of Narcotics Anonymous.

These days the most efficient way to communicate is through instant communication: Texting! But what the heck do all those abbreviations mean? Do you know what this means: BY&M, I H8- S/T, GTTP! Thr Txt u SIT? If not, you need Text-tionary: The ultimate, informative, TEXT abbreviation de-coder, with helpful tips to become an expert texter! So what's the translation? Between you and me I hate small talk. Get to the point. Through text you stay in touch.

Annotation Proceedings of a conference that took place in Austin, Texas in January 1993. Contributors are impressive names from the field of computer science, including Donald Knuth, author of several computer books of "biblical" importance. The diverse selection of paper topics includes dynamic point location, ray shooting, and the shortest paths in planar maps; optimistic sorting and information theoretic complexity; and an optimal randomized algorithm for the cow-path problem. No index. Annotation copyright by Book News, Inc., Portland, OR.

Provides an ontological characterization of texts, explores the issues raised by the identity of various texts, and presents a view of the function of authors and audiences, and of their relations to texts.

No detailed description available for "Papers in Computational Linguistics".

Natural language is easy for people and hard for machines. For two generations, the tantalizing goal has been to get computers to handle human languages in ways that will be compelling and useful to people. Obstacles are many and legendary. Natural Language Processing: The PLNLP Approach describes one group's decade of research in pursuit of that goal. A very broad coverage NLP system, including a programming language (PLNLP) development tools, and analysis and synthesis components, was developed and incorporated into a variety of well-known practical applications, ranging from text critiquing (CRITIQUE) to machine translation (e.g. SHALT). This books represents the first published collection of papers describing the system and how it has been used. Twenty-six authors from nine countries contributed to this volume. Natural language analysis, in the PLNLP approach, is done is six stages that move smoothly from syntax through semantics into discourse. The initial syntactic sketch is provided by an Augmented Phrase Structure Grammar (APSG) that uses exclusively binary rules and aims to produce some reasonable analysis for any input string. Its `approximate' analysis passes to the reassignment component, which takes the default syntactic attachments and adjusts them, using semantic information obtained by parsing definitions and example sentences from machine-readable dictionaries. This technique is an example of one facet of the PLNLP approach: the use of natural language itself as a knowledge representation language -- an innovation that permits a wide variety of online text materials to be exploited as sources of semantic information. The next stage computes the intrasential argument structure and resolves all references, both NP- and VP-anaphora, that can be treated at this point in the processing. Subsequently, additional components, currently not so well developed as the earlier ones, handle the further disambiguation of word senses, the normalization of paraphrases, and the construction of a paragraph (discourse) model by joining sentential semantic graphs. Natural Language Processing: The PLNLP Approach acquaints the reader with the theory and application of a working, real-world, domain-free NLP system, and attempts to bridge the gap between computational and theoretical models of linguistic structure. It provides a valuable resource for students, teachers, and researchers in the areas of computational linguistics, natural processing, artificial intelligence, and information science.