Correct word identification and processing is a prerequisite for accurate reading, and decades of psycholinguistic and neuroscientific research have shown that the magical moments of visual word recognition are short-lived and markedly fast. The time window in which a given letter string passes from being a mere sequence of printed curves and strokes to acquiring the word status takes around one third of a second. In a few hundred milliseconds, a skilled reader recognizes an isolated word and carries out a number of underlying processes, such as the encoding of letter position and letter identity, and lexico-semantic information retrieval. However, the precise manner (and order) in which these processes occur (or co-occur) is a matter of contention subject to empirical research. There’s no agreement regarding the precise timing of some of the essential processes that guide visual word processing, such as precise letter identification, letter position assignment or sub-word unit processing (bigrams, trigrams, syllables, morphemes), among others. Which is the sequence of processes that lead to lexical access? How do these and other processes interact with each other during the early moments of word processing? Do these processes occur in a serial fashion or do they take place in parallel? Are these processes subject to mutual interaction principles? Is feedback allowed for within the earliest stages of word identification? And ultimately, when does the reader’s brain effectively identify a given word? A vast number of questions remain open, and this Research Topic will cover some of them, giving the readership the opportunity to understand how the scientific community faces the problem of modeling the early stages of word identification according to the latest neuroscientific findings. The present Research Topic aimed to combine recent experimental evidence on early word processing from different techniques together with comprehensive reviews of the current work directions, in order to create a landmark forum in which experts in the field defined the state of the art and future directions. We were willing to receive submissions of empirical as well as theoretical and review articles based on different computational and neuroscience-oriented methodologies. We especially encouraged researchers primarily using electrophysiological or magnetoencephalographic techniques as well as eye-tracking to participate, given that these techniques provide us with the opportunity to uncover the mysteries of lexical access allowing for a fine-grained time-course analysis. The main focus of interest concerned the processes that are held within the initial 250-300 milliseconds after word presentation, covering areas that link basic visuo-attentional systems with linguistic mechanisms.

The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists for many years. The solution most often identified is "context": we use the context of utterance to determine the proper meanings of words and sentences. The problem then becomes specifying the nature of context and how it interacts with the rest of an understanding system. The difficulty becomes especially apparent in the attempt to write a computer program to understand natural language. Lexical ambiguity resolution (LAR), then, is one of the central problems in natural language and computational semantics research. A collection of the best research on LAR available, this volume offers eighteen original papers by leading scientists. Part I, Computer Models, describes nine attempts to discover the processes necessary for disambiguation by implementing programs to do the job. Part II, Empirical Studies, goes into the laboratory setting to examine the nature of the human disambiguation mechanism and the structure of ambiguity itself. A primary goal of this volume is to propose a cognitive science perspective arising out of the conjunction of work and approaches from neuropsychology, psycholinguistics, and artificial intelligence--thereby encouraging a closer cooperation and collaboration among these fields. Lexical Ambiguity Resolution is a valuable and accessible source book for students and cognitive scientists in AI, psycholinguistics, neuropsychology, or theoretical linguistics.