Par son rôle déterminant dans la réussite scolaire et professionnelle, ainsi que dans l’insertion sociale, l’apprentissage de l’orthographe lexicale représente un défi majeur pour les élèves du primaire. Dans ce contexte, nombreux sont les enseignants, orthophonistes et chercheurs à s’intéresser à la question des outils utiles à son enseignement et à son apprentissage, et à avoir recours notamment à des bases de données lexicales. Bien qu’elles constituent un apport considérable pour le domaine, les ressources existantes souffrent de plusieurs insuffisances. D’une (...) part, elles s’appuient sur des corpus de référence peu représentatifs du lexique scolaire auquel les élèves sont exposés au primaire, et d’autre part, elles ne permettent pas aux utilisateurs de déterminer la façon dont se développe l’acquisition de l’orthographe lexicale. À la lumière de ces constats, nous avons élaboré une ressource lexicale hybride, rendant compte à la fois de la fréquence et des caractéristiques linguistiques du lexique scolaire présent dans les manuels du primaire au Québec et, pour une partie des mots de ce lexique, de la capacité des élèves à les orthographier à chaque niveau du primaire. Dans cet article, nous revenons dans un premier temps sur la méthodologie d’élaboration de cette nouvelle base de données - nommée ÉQOL - dotée d’une Échelle Québécoise d’acquisition de l’Orthographe Lexicale, à l’origine de la création de la base de données. Dans un deuxième temps, nous évaluons l’apport de cet outil. La comparaison de notre base de données (Stanké, Royle, Rezzonico, Moreau, Dumais & Le Mené 2018) à des outils existants (trois bases de données et une échelle d’acquisition lexicale) témoigne de la pertinence de la création d’un outil propre au lexique scolaire adressé aux élèves du primaire et de la nécessité d’utiliser une nouvelle échelle d’acquisition de l’orthographe lexicale, spécifique aux compétences orthographiques des élèves québécois. (shrink)

Sibley, Kello, Plaut, and Elman (2008) proposed the sequence encoder as a model that learns fixed‐width distributed representations of variable‐length sequences. In doing so, the sequence encoder overcomes problems that have restricted models of word reading and recognition to processing only monosyllabic words. Bowers and Davis (2009) recently claimed that the sequence encoder does not actually overcome the relevant problems, and hence it is not a useful component of large‐scale word‐reading models. In this reply, it is noted that the sequence (...) encoder has facilitated the creation of large‐scale word‐reading models. The reasons for this success are explained and stand as counterarguments to claims made by Bowers and Davis. (shrink)

The forms of words as they appear in text and speech are central to theories and models of lexical processing. Nonetheless, current methods for simulating their learning and representation fail to approach the scale and heterogeneity of real wordform lexicons. A connectionist architecture termed thesequence encoderis used to learn nearly 75,000 wordform representations through exposure to strings of stress‐marked phonemes or letters. First, the mechanisms and efficacy of the sequence encoder are demonstrated and shown to overcome problems with traditional (...) slot‐based codes. Then, two large‐scale simulations are reported that learned to represent lexicons of either phonological or orthographic wordforms. In doing so, the models learned the statistics of their lexicons as shown by better processing of well‐formed pseudowords as opposed to ill‐formed (scrambled) pseudowords, and by accounting for variance in well‐formedness ratings. It is discussed how the sequence encoder may be integrated into broader models of lexical processing. (shrink)

The forms of words as they appear in text and speech are central to theories and models of lexical processing. Nonetheless, current methods for simulating their learning and representation fail to approach the scale and heterogeneity of real wordform lexicons. A connectionist architecture termed thesequence encoderis used to learn nearly 75,000 wordform representations through exposure to strings of stress‐marked phonemes or letters. First, the mechanisms and efficacy of the sequence encoder are demonstrated and shown to overcome problems with traditional (...) slot‐based codes. Then, two large‐scale simulations are reported that learned to represent lexicons of either phonological or orthographic wordforms. In doing so, the models learned the statistics of their lexicons as shown by better processing of well‐formed pseudowords as opposed to ill‐formed (scrambled) pseudowords, and by accounting for variance in well‐formedness ratings. It is discussed how the sequence encoder may be integrated into broader models of lexical processing. (shrink)

We applaud Ram Frost for highlighting the need for multicultural perspectives while developing universal models of visual word recognition. We second Frost's proposal that factors like lexical morphology should be incorporated besides purely orthographic features in modeling word recognition. In support, we provide fresh evidence from Hindi, an example of hitherto under-represented alphasyllabic orthographies, in which flexible encoding of akṣara position is constrained by the morphological structure of words.

This study investigated the effect of non-task language in language switching experiment. Non-task language refers to participants’ language(s) (regardless of proficiency level) that are not used in any trials throughout the experiment. We recruited 60 Tibetan-Chinese-English trilinguals (grade-12 high school students with a median age of 17) to perform a lexical decision (word vs. non-word) task in only two of their languages. We repeated the experiment three times to present each language pair once. In each experiment, the participants were (...) divided into two groups which significantly contrasted with each other in their non-task language while remained comparable in the two task languages. Response time (RT) and error rate (ER) have been examined to evaluate task performance. The interaction between task performance and the participants’ proficiency in the non-task language was also examined. The results showed null effect of language switching. In addition, the effect of the non-task language was not found. These results were interpreted with reference to the main models of bilingual visual word recognition and the role of orthography specificity. (shrink)

A spelling model which has evolved in the parallel universe of spelling research resonates with Frost's reading model. Like reading, spelling cannot be based solely on phonology or orthography, but should accommodate all linguistic facets. The cognitive domain of spelling does not take place at the level of single grapheme or phoneme or syllable, but rather, at the lexical level.

We discuss two key assumptions of Levelt et al.'s model of lexical retrieval: (1) the nondecompositional character of concepts and (2) lemmas as purely syntactic representations. These assumptions fail to capture the broader role of lemmas, which we propose as that of lexical–semantic representations binding (compositional) semantics with phonology (or orthography).

In the last decade, reading research has seen a paradigmatic shift. A new wave of computational models of orthographic processing that offer various forms of noisy position or context-sensitive coding have revolutionized the field of visual word recognition. The influx of such models stems mainly from consistent findings, coming mostly from European languages, regarding an apparent insensitivity of skilled readers to letter order. Underlying the current revolution is the theoretical assumption that the insensitivity of readers to letter order reflects the (...) special way in which the human brain encodes the position of letters in printed words. The present article discusses the theoretical shortcomings and misconceptions of this approach to visual word recognition. A systematic review of data obtained from a variety of languages demonstrates that letter-order insensitivity is neither a general property of the cognitive system nor a property of the brain in encoding letters. Rather, it is a variant and idiosyncratic characteristic of some languages, mostly European, reflecting a strategy of optimizing encoding resources, given the specific structure of words. Since the main goal of reading research is to develop theories that describe the fundamental and invariant phenomena of reading across orthographies, an alternative approach to model visual word recognition is offered. The dimensions of a possible universal model of reading, which outlines the common cognitive operations involved in orthographic processing in all writing systems, are discussed. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Concordance to Descartes’ “Meditationes de Prima Philosophia.” by Katsuzo Murakami, Meguru Sasaki, Tetsuichi NishimuraTuomo Aho and Mikko YrjönsuuriKatsuzo Murakami, Meguru Sasaki, and Tetsuichi Nishimura. Concordance to Descartes’ “Meditationes de Prima Philosophia.” Hildesheim: Olms-Weidmann, 1995. Pp. v + 355. Cloth, DM 198.00.This is a product from the Descartes database of Tokyo University scholars. It gives an account of the occurrences and contexts of words in the Meditationes (the main (...) text only), aiming at a complete survey of vocabulary. The work keeps strictly to the form of a lexical concordance; in addition to the word lists, there is only a brief instruction. (A bibliographical note about editions might be useful.) Technical realization is excellent. But concordances like this are big and expensive books; could they possibly be published more easily in electronic format?Most words of Descartes’s text are included in the main concordance. There they are listed following the alphabetic order of standard dictionaries, and in each entry the total amount of occurrences of the word is announced. Then every occurrence is quoted in its context (one line = approximately two in the Adam-Tannery standard edition). Quotes within each entry are arranged and their places identified by digits showing the page and line in AT edition.Some function words and most indeclinables are placed in an index which gives only the numbers and locations of their occurrences. In most cases this is certainly reasonable, but some choices are problematic. For example, why have the 638 + 36 occurrences of qui in its two senses (‘who’, ‘what’; ‘how’, ‘whereby’) been printed with full contexts, while the philosophically interesting adverb plane (‘plainly’, 55 times) is to be found merely in the index?Concordances are uncommon for modern philosophy, but they are familiar and valuable tools in work with ancient texts. Obviously they function in linguistic research, and even the present Descartes book has largely the same goal: to serve the study of neo-Latin language. Undoubtedly, a rigorous case study like this is important for such [End Page 135] investigations. (There remains, however, a difficulty, as the editors point out, because the AT text differs from original editions, mainly in matters of orthography and punctuation.) But also a completely nonlinguistic philosopher can benefit from this material. It is useful to see all occurrences of a word together and at once; many careless generalizations could be avoided by checking from a concordance.One can make amusing observations at random. Thus some terms have remarkably low frequencies (notitia, qualitas occur 4 times; materia 3 times; absolutus, principium 2 times; abstractus, definire, dispositio, species 1 time; intentio, possibile not at all). On the other hand, there is an overwhelming concentration on the semantic family round cogitare, cognoscere, comprehendere, concipere, percipere. Descartes has some idiosyncratic favorites, like advertere/animadvertere. One also notices his strong liking for words of seeing and light (15 arguments from lumen naturale!). It hardly is a surprise that his most cherished favorite is ego (492 times).Tuomo Aho and Mikko Yrjönsuuri University of HelsinkiCopyright © 1998 Journal of the History of Philosophy, Inc... (shrink)

Lexical Semantics is about the meaning of words. Although obviously a central concern of linguistics, the semantic behaviour of words has been unduly neglected in the current literature, which has tended to emphasize sentential semantics and its relation to formal systems of logic. In this textbook D. A. Cruse establishes in a principled and disciplined way the descriptive and generalizable facts about lexical relations that any formal theory of semantics will have to encompass. Among the topics covered in (...) depth are idiomaticity, lexical ambiguity, synonymy, hierarchical relations such as hyponymy and meronymy, and various types of oppositeness. Syntagmatic relations are also treated in some detail. The discussions are richly illustrated by examples drawn almost entirely from English. Although a familiarity with traditional grammar is assumed, readers with no technical linguistic background will find the exposition always accessible. All readers with an interest in semantics will find in this original text not only essential background but a stimulating new perspective on the field. (shrink)

In the TACITUS project for using commonsense knowledge in the understanding of texts about mechanical devices and their failures, we have been developing various commonsense theories that are needed to mediate between the way we talk about the behavior of such devices and causal models of their operation. Of central importance in this effort is the axiomatization of what might be called commonsense metaphysics. This includes a number of areas that figure in virtually every domain of discourse, such as granularity, (...) scales, time, space, material, physical objects, shape, causality, functionality, and force. Our effort has been to construct core theories of each of these areas, and then to define, or at least characterize, a large number of lexical items in terms provided by the core theories. In this paper we discuss our methodological principles and describe the key ideas in the various domains we are investigating. (shrink)

The present study investigated whether humans are more likely to trust people who are coordinated with them. We examined a well-known type of linguistic coordination, lexical entrainment, typically involving the elaboration of “conceptual pacts,” or partner-specific agreements on how to conceptualize objects. In two experiments, we manipulated lexical entrainment in a referential communication task and measured the effect of this manipulation on epistemic and practical trust. Our results showed that participants were more likely to trust a coordinated partner (...) than an uncoordinated one, but only when the latter broke previously established conceptual pacts. (shrink)

Luthra, Peraza-Santiago, Beeson, Saltzman, Crinnion, and Magnuson (2021) present data from the lexically mediated compensation for coarticulation paradigm that they claim provides conclusive evidence in favor of top-down processing in speech perception. We argue here that this evidence does not support that conclusion. The findings are open to alternative explanations, and we give data in support of one of them (that there is an acoustic confound in the materials). Lexically mediated compensation for coarticulation thus remains elusive, while prior data from (...) the paradigm instead challenge the idea that there is top-down processing in online speech recognition. (shrink)

Lexical ambiguity—the phenomenon of a single word having multiple, distinguishable senses—is pervasive in language. Both the degree of ambiguity of a word (roughly, its number of senses) and the relatedness of those senses have been found to have widespread effects on language acquisition and processing. Recently, distributional approaches to semantics, in which a word's meaning is determined by its contexts, have led to successful research quantifying the degree of ambiguity, but these measures have not distinguished between the ambiguity of (...) words with multiple related senses versus multiple unrelated meanings. In this work, we present the first assessment of whether distributional meaning representations can capture the ambiguity structure of a word, including both the number and relatedness of senses. On a very large sample of English words, we find that some, but not all, distributional semantic representations that we test exhibit detectable differences between sets of monosemes (unambiguous words; N = 964), polysemes (with multiple related senses; N = 4,096), and homonyms (with multiple unrelated senses; N = 355). Our findings begin to answer open questions from earlier work regarding whether distributional semantic representations of words, which successfully capture various semantic relationships, also reflect fine‐grained aspects of meaning structure that influence human behavior. Our findings emphasize the importance of measuring whether proposed lexical representations capture such distinctions: In addition to standard benchmarks that test the similarity structure of distributional semantic models, we need to also consider whether they have cognitively plausible ambiguity structure. (shrink)

Lexical innovations (e.g., zero-derivations coined on the fly by a speaker) seem to bear semantic content. Yet, such expressions cannot bear semantic content as a function of the conventions of meaning in force in the language, since they are not part of its lexicon. This is in tension with the commonplace view that the semantic content of lexical expressions is constituted by linguistic conventions. The conventionalist has two immediate ways out of the tension. The first is to preserve (...) the conventionalist assumption and deny that lexical innovations bear semantic content. The second is to dynamicize the conventionalist assumption, that is, argue that presentations of unattested expressions trigger an augmentation of the standing semantic resources of the language and instantiate content as a result of this underlying update. Building on a comparison with the production of novel onomatopoeic words, iconic pseudowords and pro-speech gestures, the paper argues that the issue is best addressed by suspending the conventionalist assumption, and describes the metasemantic implications of the claim. (shrink)

A moral requirement R1 is said to be lexically prior to a moral requirement R2 just in case we are morally obliged to uphold R1 at the expense of R2 – no matter how many times R2 must be violated thereby. While lexical priority is a feature of many ethical theories, and arguably a part of common sense morality, attempts to model it within the framework of decision theory have led to a series of problems – a fact which (...) is sometimes spun as a ‘decision theoretic critique’ of lexical priority. In this paper, I develop an enriched decision theoretic framework that is capable of modelling lexical priority while avoiding all extant problems. This will involve introducing several new ingredients into the standard decision theoretic framework, including multidimensional utilities, de minimis risks, and the means to represent two different conceptions of risk. (shrink)

The ideal introduction for students of semantics, Lexical Meaning fills the gap left by more general semantics textbooks, providing the teacher and the student with insights into word meaning beyond the traditional overviews of lexical relations. The book explores the relationship between word meanings and syntax and semantics more generally. It provides a balanced overview of the main theoretical approaches, along with a lucid explanation of their relative strengths and weaknesses. After covering the main topics in lexical (...) meaning, such as polysemy and sense relations, the textbook surveys the types of meanings represented by different word classes. It explains abstract concepts in clear language, using a wide range of examples, and includes linguistic puzzles in each chapter to encourage the student to practise using the concepts. 'Adopt-a-Word' exercises give students the chance to research a particular word, building a portfolio of specialist work on a single word. (shrink)

Language acquisition may be one of the most difficult tasks that children face during development. They have to segment words from fluent speech, figure out the meanings of these words, and discover the syntactic constraints for joining them together into meaningful sentences. Over the past couple of decades, computational modeling has emerged as a new paradigm for gaining insights into the mechanisms by which children may accomplish these feats. Unfortunately, many of these models assume a computational complexity and linguistic knowledge (...) likely to be beyond the abilities of developing young children. This article shows that, using simple statistical procedures, significant correlations exist between the beginnings and endings of a word and its lexical category in English, Dutch, French, and Japanese. Therefore, phonetic information can contribute to individuating higher level structural properties of these languages. This article also presents a simple 2‐layer connectionist model that, once trained with an initial small sample of words labeled for lexical category, can infer the lexical category of a large proportion of novel words using only word‐edge phonological information, namely the first and last phoneme of a word. The results suggest that simple procedures combined with phonetic information perceptually available to children provide solid scaffolding for emerging lexical categories in language development. (shrink)

Some theories of practical reasons incorporate a lexical priority structure, according to which some practical reasons have infinitely greater weight than others. This includes absolute deontological theories and axiological theories that take some goods to be categorically superior to others. These theories face problems involving cases in which there is a non-extreme probability that a given reason applies. In view of such cases, lexical-priority theories are in danger of becoming irrelevant to decision-making, becoming absurdly demanding, or generating paradoxical (...) cases in which each of a pair of actions is permissible yet the pair is impermissible. (shrink)

This is a book about the meanings of words and how they can combine to form larger meaningful units, as well as how they can fail to combine when the ...

How does a child rapidly acquire and develop a structured mental organization for the vast number of words in the first years of life? How does a bilingual individual deal with the even more complicated task of learning and organizing two lexicons? It is only until recently have we started to examine the lexicon as a dynamical system with regard to its acquisition, representation, and organization. In this article, I outline a proposal based on our research that takes the dynamical (...) approach to the lexicon, and I discuss how this proposal can be applied to account for lexical organization, structural representation, and competition within and between languages. In particular, I provide computational evidence based on the DevLex model, a self‐organizing neural network model, and neuroimaging evidence based on functional magnetic resonance imaging (fMRI) studies, to illustrate how children and adults learn and represent the lexicon in their first and second languages. In the computational research, our goal has been to identify, through linguistically and developmentally realistic models, detailed cognitive mechanisms underlying the dynamic self‐organizing processes in monolingual and bilingual lexical development; in the neuroimaging research, our goal has been to identify the neural substrates that subserve lexical organization and competition in the monolingual and the bilingual brain. In both cases, our findings lead to a better understanding of the interactive dynamics involved in the acquisition and representation of one or multiple languages. (shrink)

Preparing words in speech production is normally a fast and accurate process. We generate them two or three per second in fluent conversation; and overtly naming a clear picture of an object can easily be initiated within 600 msec after picture onset. The underlying process, however, is exceedingly complex. The theory reviewed in this target article analyzes this process as staged and feedforward. After a first stage of conceptual preparation, word generation proceeds through lexical selection, morphological and phonological encoding, (...) phonetic encoding, and articulation itself. In addition, the speaker exerts some degree of output control, by monitoring of self-produced internal and overt speech. The core of the theory, ranging from lexical selection to the initiation of phonetic encoding, is captured in a computational model, called WEAVER++. Both the theory and the computational model have been developed in interaction with reaction time experiments, particularly in picture naming or related word production paradigms, with the aim of accounting for the real-time processing in normal word production. A comprehensive review of theory, model, and experiments is presented. The model can handle some of the main observations in the domain of speech errors (the major empirical domain for most other theories of lexical access), and the theory opens new ways of approaching the cerebral organization of speech production by way of high-temporal-resolution imaging. (shrink)

Frames, i.e., recursive attribute-value structures, are a general format for the decomposition of lexical concepts. Attributes assign unique values to objects and thus describe functional relations. Concepts can be classified into four groups: sortal, individual, relational and functional concepts. The classification is reflected by different grammatical roles of the corresponding nouns. The paper aims at a cognitively adequate decomposition, particularly, of sortal concepts by means of frames. Using typed feature structures, an explicit formalism for the characterization of cognitive frames (...) is developed. The frame model can be extended to account for typicality effects. Applying the paradigm of object-related neural synchronization, furthermore, a biologically motivated model for the cortical implementation of frames is developed. Cortically distributed synchronization patterns may be regarded as the fingerprints of concepts. (shrink)

Discover vital research on the lexical and cognitive meanings of words. In this exciting book from a team of world-class researchers, in-depth articles explain a wide range of topics, including thematic roles, sense relation, ambiguity and comparison. The authors focus on the cognitive and conceptual structure of words and their meaning extensions such as coercion, metaphors and metonymies. The book features highly cited material available in paperback for the first time since its publication and is an essential starting point (...) for anyone interested in lexical semantics, especially where it meets other cognitive and conceptual research. (shrink)

The use of lexical signs like ‘knowledge’ has consequences. Not only do they have direct psychological resonances, but people ascribe beliefs and act based on their semantics. This paper proposes that such consequences are up for negotiation, and introduces a formal framework from financial theory to suggest constraints on those negotiations and implications of those constraints. The upshot is that changing language will be easier sometimes than others, and philosophers’ projects of linguistic change should be aware of those conditions.

This study investigates the child‐directed speech (CDS) of four Russian‐, six German, and six English‐speaking mothers to their 2‐year‐old children. Typologically Russian has considerably less restricted word order than either German or English, with German showing more word‐order variants than English. This could lead to the prediction that the lexical restrictiveness previously found in the initial strings of English CDS by Cameron‐Faulkner, Lieven, and Tomasello (2003) would not be found in Russian or German CDS. However, despite differences between the (...) three corpora that clearly derive from typological differences between the languages, the most significant finding of this study is a high degree of lexical restrictiveness at the beginnings of CDS utterances in all three languages. (shrink)

Lexical semantics has become a major research area within computational linguistics, drawing from psycholinguistics, knowledge representation, computer algorithms and architecture. Research programmes whose goal is the definition of large lexicons are asking what the appropriate representation structure is for different facets of lexical information. Among these facets, semantic information is probably the most complex and the least explored.Computational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerised lexicons (...) for the automatic treatment of natural language, with applications to machine translation, automatic indexing, and database front-ends, knowledge extraction, among other things. It focuses on semantic issues, as seen by linguists, psychologists, and computer scientists. Besides describing academic research, it also covers ongoing industrial projects. (shrink)

Bartha and DesRoches (2021) and Steel and Bartha (2023) argue that we should understand the precautionary principle as the injunction to maximise lexical utilities. They show that the lexical utility model has important pragmatic advantages. Moreover, the model has the theoretical advantage of satisfying all axioms of expected utility theory except continuity. In this paper I raise a trilemma for any attempt at modelling the precautionary principle with lexical utilities: it permits choice cycles or leads to paralysis (...) or implies that the smallest value difference that is possible in a context has extreme axiological implications. (shrink)

Lexical alignment, a communication phenomenon where conversational partners adapt their word choices to become more similar, plays an important role in the development of language and social communication skills. While this has been studied extensively in the conversations of preschool‐aged children and their parents in Western, Educated, Industrialized, Rich, and Democratic (WEIRD) communities, research in other pediatric populations is sparse. This study makes significant expansions on the existing literature by focusing on alignment in naturalistic conversations of school‐aged children from (...) a non‐WEIRD population across multiple conversational tasks and with different types of adult partners. Typically developing children aged 5 to 8 years (n = 45) engaged in four semi‐structured conversations that differed by task (problem‐solving vs. play‐based) and by partner (parent vs. university student), resulting in a corpus of 180 conversations. Lexical alignment scores were calculated and compared to sham conversations, representing alignment occurring at the level of chance. Both children and adults coordinated their conversational utterances by re‐using or aligning each other's word choices. This alignment behavior persisted across conversational tasks and partners, although the degree of alignment was moderated by the conversational context. These findings suggest that lexical alignment is a robust phenomenon in conversations between school‐age children and adults. Furthermore, this study extends lexical alignment findings to a non‐WEIRD culture, suggesting that alignment may be a coordination strategy employed by adults and children across diverse linguistic and cultural backgrounds. (shrink)

In most computational ontologies, information inheritance is based on the taxonomic relation is_a. A given type inherits from other type only if the latter subsumes the former. We assume, however, that inheritance can be related, not only to the taxonomic relation, but also to the meronymic relationship between parts and wholes. The main aim of this paper is to organise upper-level ontologies associated with lexical information by taking into account part-whole subsumption. As we consider that parts may subsume wholes (...) under specific conditions, ontologies can be defined in terms of systems in which wholes inherit information from its parts. In this article, we describe how part-whole subsumption and, then, meronymic inheritance can be used to deal with type mismatch and metonymic interpretation of polysemous nouns. For this purpose, we attempt to merge old assumptions from both formal ontology and lexical semantics into a homogeneous framework. (shrink)

The Basotho of Lesotho and South Africa speak the same language, namely Sesotho. However, the two countries do not use the same orthography when writing Sesotho. This orthographic representation and its variations pose a significant challenge when Bible translators translate it into Sesotho. It also presents difficulties to readers of the Bible in South Africa when they have to read the Bible written in Lesotho orthography for the first time or to Lesotho readers who encounter Sesotho written in (...) South African orthography. The two orthographies are independent but complementary. The Lesotho orthography is older than the South African. It differs in the choice of letters and the marking of initial syllabic nasals and (to a much lesser extent) in written word division and the use of diacritics on vowels to distinguish some ambiguous spellings. Contribution: This article provides a historical examination of the problem beginning with the first efforts by French missionaries to write the language in the 19th century, the separate but interrelated development of the two orthographies in Lesotho and South Africa and the current impasse concerning a unified orthography. The analysis will include an examination of the linguistic issues involved, the sociolinguistic topics (including politics, education and religion) and various possible scenarios for resolving the problem will be considered. (shrink)

Lexical views in population axiology can avoid the Repugnant Conclusion without violating Transitivity or Separability. However, they imply a dilemma: either some good life is better than any number of slightly worse lives, or else the ‘at least as good as’ relation on populations is radically incomplete. In this paper, I argue that Archimedean views face an analogous dilemma. I thus conclude that the lexical dilemma gives us little reason to prefer Archimedean views. Even if we give up (...) on lexicality, problems of the same kind remain. (shrink)

Lexical ambiguity is pervasive in language, and the nature of the representations of an ambiguous word's multiple meanings is yet to be fully understood. With a special focus on Chinese characters, the present study first established that native speaker's perception about a character's number of meanings was heavily influenced by the availability of its distinct word formations, while whether these meanings would be perceived to be closely related was driven by further conceptual analysis. These notions were operationalized as two (...) computed metrics, which assessed the degree of dispersion across individual word formations and the degree of propinquity across clusters of word formations, respectively, in a distributional semantic space. The observed correlations between the computed and the perceived metrics indicated that the utility of word formations to tap into meaning representations of Chinese characters was indeed cognitively plausible. The results have demonstrated the extent to which distributional semantics could inform about meaning representations of Chinese characters, which has theoretical implications for the representation of ambiguous words more generally. (shrink)

In a series of papers, Donald Davidson :3–17, 1984, The philosophical grounds of rationality, 1986, Midwest Stud Philos 16:1–12, 1991) developed a powerful argument against the claim that linguistic conventions provide any explanatory purchase on an account of linguistic meaning and communication. This argument, as I shall develop it, turns on cases of what I call lexical innovation: cases in which a speaker uses a sentence containing a novel expression-meaning pair, but nevertheless successfully communicates her intended meaning to her (...) audience. I will argue that cases of lexical innovation motivate a dynamic conception of linguistic conventions according to which background linguistic conventions may be rapidly expanded to incorporate new word meanings or shifted to revise the meanings of words already in circulation. I argue that this dynamic account of conventions both resolves the problem raised by cases of lexical innovation and that it does so in a way that is preferable to those who—like Davidson—deny important explanatory roles for linguistic conventions. (shrink)

Lexical ambiguity presents one of the most intractable problems for language processing studies and, not surprisingly, it is at the core of research in lexical semantics. Originally published as two special issues of the Journal of Semantics, this collection focuses on the problem of polysemy, from the point of view of practitioners of computational linguistics.

In a 2010 paper Daley argues, contra Fodor, that several syntactically simple predicates express structured concepts. Daley develops his theory of structured concepts within Tichý’s Transparent Intensional Logic . I rectify various misconceptions of Daley’s concerning TIL. I then develop within TIL an improved theory of how structured concepts are structured and how syntactically simple predicates are related to structured concepts.

Saffran, Newport, and Aslin (1996a) found that human infants are sensitive to statistical regularities corresponding to lexical units when hearing an artificial spoken language. Two sorts of segmentation strategies have been proposed to account for this early word‐segmentation ability: bracketing strategies, in which infants are assumed to insert boundaries into continuous speech, and clustering strategies, in which infants are assumed to group certain speech sequences together into units (Swingley, 2005). In the present study, we test the predictions of two (...) computational models instantiating each of these strategies i.e., Serial Recurrent Networks: Elman, 1990; and Parser: Perruchet & Vinter, 1998 in an experiment where we compare the lexical and sublexical recognition performance of adults after hearing 2 or 10 min of an artificial spoken language. The results are consistent with Parser’s predictions and the clustering approach, showing that performance on words is better than performance on part‐words only after 10 min. This result suggests that word segmentation abilities are not merely due to stronger associations between sublexical units but to the emergence of stronger lexical representations during the development of speech perception processes. (shrink)

Legal translation between English and Arabic is under researched. However, the growing need for it, due to immigration and asylum seeking, among other reasons, necessitates the importance of more research. The asymmetry between English and Arabic poses many difficulties for legal translators, be they linguistic-based, culture-specific or system-based. The aim of this research is to discuss ways of translating lexical items between English and Arabic. In this current discussion I will present, exemplify and analyse the common difficult areas of (...) translating English/Arabic legal texts and suggest ways of dealing with them. These areas involve culture-specific and system-based terms, archaic terms, specialised terms and doublets and triplets. With this aim in mind, the paper answers the following research questions: 1.What are the common difficulties of translating legal texts between English and Arabic? 2.What are the common lexical difficulties between English and Arabic legal texts? 3.What are the procedures of translating lexical legal terms between English and Arabic? The paper concludes that translating the above-mentioned lexical terms requires expertise, professional training, robust knowledge of the linguistic and legal systems of languages, as well as up-to-date electronic dictionaries and well-defined parallel corpora. (shrink)