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Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including sum...
Usage-based linguistics, which is currently very popular, bases its understanding of language on two key points: Languages are cognitive-social constructs (i.e., learned vs genetically endowed), and, in order for communication and meaning to happen, speakers must find a way to meet/understand each other, overcoming various differences (lexicon, social, register, etc.) to arrive there. In this book, high-level contributors combine research from various usage-based perspectives to explore these questions: How do proficient speakers accomplish 'mental contact' or communication through the available semiotic linguistic resources they share with other members of their discourse community? How do young children learn to accomplish this? And how do speakers of multiple languages learn to accomplish this across languages?
What is semantic transparency, why is it important, and which factors play a role in its assessment? This work approaches these questions by investigating English compound nouns. The first part of the book gives an overview of semantic transparency in the analysis of compound nouns, discussing its role in models of morphological processing and differentiating it from related notions. After a chapter on the semantic analysis of complex nominals, it closes with a chapter on previous attempts to model semantic transparency. The second part introduces new empirical work on semantic transparency, introducing two different sets of statistical models for compound transparency. In particular, two semantic factors were explored: the semantic relations holding between compound constituents and the role of different readings of the constituents and the whole compound, operationalized in terms of meaning shifts and in terms of the distribution of specifc readings across constituent families. All semantic annotations used in the book are freely available.
This work is essentially based on grammaticalization theory – a branch of linguistics which has gained prominence since the 1980s. It focuses on the interaction between diachrony and synchrony, langue and parole or, for that matter, competence and performance, I–language and Ε–language. It does not see these levels as distinct linguistic domains, as much structurally oriented work does. It is important for the present purposes that such an interactionist view entails that performance effects may over time cause new grammatical code relations. Hence the importance of statistical empirical research, which led the author to adopt a predominantly corpus-based approach.
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People make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text. A system which aspires to human-like performance must also be equipped to identify, and learn from, semantic relations in the texts it processes. Understanding even a simple sentence such as "Opportunity and Curiosity find similar rocks on Mars" requires recognizing relations (rocks are located on Mars, signalled by the word on) and drawing on already known relations (Opportunity and Curiosity are instances of the class of Mars rovers). A language-understanding system should be able to find such relations in documents and progressively build a knowledge base or eve...
The book focuses on the types of word, word building, derivatives, appendices, precedents and suffixes in English