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Textual Inference  

Annie Zaenen

Hearers and readers make inferences on the basis of what they hear or read. These inferences are partly determined by the linguistic form that the writer or speaker chooses to give to her utterance. The inferences can be about the state of the world that the speaker or writer wants the hearer or reader to conclude are pertinent, or they can be about the attitude of the speaker or writer vis-à-vis this state of affairs. The attention here goes to the inferences of the first type. Research in semantics and pragmatics has isolated a number of linguistic phenomena that make specific contributions to the process of inference. Broadly, entailments of asserted material, presuppositions (e.g., factive constructions), and invited inferences (especially scalar implicatures) can be distinguished. While we make these inferences all the time, they have been studied piecemeal only in theoretical linguistics. When attempts are made to build natural language understanding systems, the need for a more systematic and wholesale approach to the problem is felt. Some of the approaches developed in Natural Language Processing are based on linguistic insights, whereas others use methods that do not require (full) semantic analysis. In this article, I give an overview of the main linguistic issues and of a variety of computational approaches, especially those stimulated by the RTE challenges first proposed in 2004.



Eva Hajičová

In the linguistic literature, the term theme has several interpretations, one of which relates to discourse analysis and two others to sentence structure. In a more general (or global) sense, one may speak about the theme or topic (or topics) of a text (or discourse), that is, to analyze relations going beyond the sentence boundary and try to identify some characteristic subject(s) for the text (discourse) as a whole. This analysis is mostly a matter of the domain of information retrieval and only partially takes into account linguistically based considerations. The main linguistically based usage of the term theme concerns relations within the sentence. Theme is understood to be one of the (syntactico-) semantic relations and is used as the label of one of the arguments of the verb; the whole network of these relations is called thematic relations or roles (or, in the terminology of Chomskyan generative theory, theta roles and theta grids). Alternatively, from the point of view of the communicative function of the language reflected in the information structure of the sentence, the theme (or topic) of a sentence is distinguished from the rest of it (rheme, or focus, as the case may be) and attention is paid to the semantic consequences of the dichotomy (especially in relation to presuppositions and negation) and its realization (morphological, syntactic, prosodic) in the surface shape of the sentence. In some approaches to morphosyntactic analysis the term theme is also used referring to the part of the word to which inflections are added, especially composed of the root and an added vowel.


Connectionism in Linguistic Theory  

Xiaowei Zhao

Connectionism is an important theoretical framework for the study of human cognition and behavior. Also known as Parallel Distributed Processing (PDP) or Artificial Neural Networks (ANN), connectionism advocates that learning, representation, and processing of information in mind are parallel, distributed, and interactive in nature. It argues for the emergence of human cognition as the outcome of large networks of interactive processing units operating simultaneously. Inspired by findings from neural science and artificial intelligence, connectionism is a powerful computational tool, and it has had profound impact on many areas of research, including linguistics. Since the beginning of connectionism, many connectionist models have been developed to account for a wide range of important linguistic phenomena observed in monolingual research, such as speech perception, speech production, semantic representation, and early lexical development in children. Recently, the application of connectionism to bilingual research has also gathered momentum. Connectionist models are often precise in the specification of modeling parameters and flexible in the manipulation of relevant variables in the model to address relevant theoretical questions, therefore they can provide significant advantages in testing mechanisms underlying language processes.


Lexical Semantics  

Dirk Geeraerts

Lexical semantics is the study of word meaning. Descriptively speaking, the main topics studied within lexical semantics involve either the internal semantic structure of words, or the semantic relations that occur within the vocabulary. Within the first set, major phenomena include polysemy (in contrast with vagueness), metonymy, metaphor, and prototypicality. Within the second set, dominant topics include lexical fields, lexical relations, conceptual metaphor and metonymy, and frames. Theoretically speaking, the main theoretical approaches that have succeeded each other in the history of lexical semantics are prestructuralist historical semantics, structuralist semantics, and cognitive semantics. These theoretical frameworks differ as to whether they take a system-oriented rather than a usage-oriented approach to word-meaning research but, at the same time, in the historical development of the discipline, they have each contributed significantly to the descriptive and conceptual apparatus of lexical semantics.


Generative Grammar  

Knut Tarald Taraldsen

This article presents different types of generative grammar that can be used as models of natural languages focusing on a small subset of all the systems that have been devised. The central idea behind generative grammar may be rendered in the words of Richard Montague: “I reject the contention that an important theoretical difference exists between formal and natural languages” (“Universal Grammar,” Theoria, 36 [1970], 373–398).


Semantic Compositionality  

Francis Jeffry Pelletier

Most linguists have heard of semantic compositionality. Some will have heard that it is the fundamental truth of semantics. Others will have been told that it is so thoroughly and completely wrong that it is astonishing that it is still being taught. The present article attempts to explain all this. Much of the discussion of semantic compositionality takes place in three arenas that are rather insulated from one another: (a) philosophy of mind and language, (b) formal semantics, and (c) cognitive linguistics and cognitive psychology. A truly comprehensive overview of the writings in all these areas is not possible here. However, this article does discuss some of the work that occurs in each of these areas. A bibliography of general works, and some Internet resources, will help guide the reader to some further, undiscussed works (including further material in all three categories).