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Agreement variation is a critical issue in discussing syntactic configuration and semantic integration. Two competing hypotheses have been proposed to account for how semantic integration contributes to agreement variation: the lexical-grammatical hypothesis and the notional hypothesis. Using data from NOW, a large corpus of World Englishes, this study presents a multifactorial analysis of the probabilistic factors that constrain agreement variation in it -clefts, an important but low-frequency construction, with collective nouns as clefted constituents. We employ random forests and conditional inference trees to examine how the Outer circle varieties have developed preferences different from those of the Inner circle varieties for agreement patterns of it -clefts. The principal findings include: (1) singular agreement is the default pattern worldwide, while plural agreement appears probabilistically along the continuum of collective plurality; (2) Inner circle speakers use more plural agreement than Outer circle speakers, with British English users employing more plural agreement than American English users; and (3) Semantic integration exerts more influence on Inner circle speakers in agreement implementation than on Outer circle speakers, who are more easily affected by morpho-grammatical markers. The quantitative case study on the collective noun team corroborates the lexical-grammatical hypothesis that semantic integration encourages plural agreement. This focused attention on agreement variation in it -clefts with collective nouns as clefted constituents further suggests that the extraposition analysis, rather than the expletive analysis, offers a suitable theoretical model for the syntactic configuration of the it- cleft construction. [ABSTRACT FROM AUTHOR]

Previous research has tracked the history of the theme-recipient alternation (or: "dative" alternation) in Chinese, but few studies have embedded their analysis in a probabilistic variationist framework. Against this backdrop, we explore the language-internal and language-external factors that probabilistically influence the alternation between theme-first and recipient-first ordering in a large diachronic corpus of Chinese writing (1300s–1900s). Our analysis reveals that the recipient-first variant is consistently more frequent than its competitor and even more common in more recent texts than in older texts. Regression analysis also suggests that there are stable linguistic constraints (i.e., animacy and definiteness of theme) and fluid constraints (i.e., end-weight, recipient animacy). Notably, the diachronic instability of end-weight and animacy points to cross-linguistic parallels for ditransitive constructions, including the English dative alternation. We thus contribute to theory building in variationist linguistics by advancing the field's knowledge about the comparative fluidity versus stability of probabilistic constraints. [ABSTRACT FROM AUTHOR]

In this paper, we operationalize register differences at the intersection of formality and mode, and distinguish four broad register categories: spoken informal (conversations), spoken formal (parliamentary debates), written informal (blogs), and written formal (newspaper articles). We are specifically interested in the comparative probabilistic/variationist complexity of these registers – when speakers have grammatical choices, are the probabilistic grammars regulating these choices more or less complex in particular registers than in others? Based on multivariate modeling of richly annotated datasets covering three grammatical alternations in two languages (English and Dutch), we assess the complexity of probabilistic grammars by drawing on three criteria: (a) the number of constraints on variant choice, (b) the number of interactions between constraints, and (c) the relative importance of lexical conditioning. Analysis shows that contrary to theorizing in variationist sociolinguistics, probabilistic complexity differences between registers are not quantitatively simple: formal registers are consistently the most complex ones, while spoken registers are the least complex ones. The most complex register under study is written-formal quality newspaper writing. We submit that the complexity differentials we uncover are a function of acquisitional difficulty, of on-line processing limitations, and of normative pressures. [ABSTRACT FROM AUTHOR]

This multifactorial study reviews the determinants of particle alternation after uninflected try in varieties where English is native. The effects of a number of previously discussed and novel predictors are probed in data from well-known corpora. The results confirm the inclinations of North American varieties (try to) in contrast with those of the Australasian, British and Irish varieties (try and in speech but try to in writing). The previously reported general effects of the tense of try , mode and horror aequi are also corroborated. As regards the effect of register, the study contributes the finding that following Latin-based infinitives favor try to in most varieties, especially in writing. The article discusses the status of the substantiated effects with respect to the notions of conventionalization and entrenchment: crucially, the higher degree of conventionalization of try to in North American varieties (a) makes the use of this variant less conditional on the sequential need to license euphony and (b) neutralizes the general contextual/register distinction for the alternation. From a usage-based viewpoint, the findings suggest that the higher frequency of a multiword sequence in a specific variety, and the higher degree of activation in the language users' minds, can make it less contingent on general probabilistic constraints. [ABSTRACT FROM AUTHOR]

This paper introduces a new resource designed to facilitate the quantitative investigation of syntactic variation in spoken language from a comparative perspective. The datasets comprise homogeneously annotated collections of “interchangeable” (i.e. competing) genitive and dative variants in four varieties of English: American English, British English, Canadian English, and New Zealand English. To showcase the empirical potential of the data source, we present a suggestive analysis that investigates the extent to which the probabilistic grammar of genitive and dative variant choice differs across varieties. The statistical analysis reveals that while there are a number of subtle probabilistic contrasts between the regional varieties under study, there is overall a striking degree of cross-varietal homogeneity. We conclude by outlining directions for future research. This article is part of the Special Collection: Probabilistic grammars: Syntactic variation in a comparative perspective

• An Event-quantifying Construction comprises a verb, an object, and a quantifier. • The core function of this construction is to count the times of an event. • The ordering of objects and quantifiers is deemed a new construction alternation. • Multivariate analyses detect six variables significantly affecting the alternation. • The variables involve postverbal constraint, end-focus, and end-weight principle. In modern Chinese, an object can precede or follow a quantifier (numeral + verbal classifier) when they co-occur after a verb, which is supposedly affected by multiple factors. Within a usage-based probabilistic variationist framework, this study defines the above ordering as the alternation of the Event-quantifying Construction and examines ten potential variables that probabilistically constrain the construction alternation, using three multivariate methods. Results indicated that six variables significantly affect the selection of the two variants, i.e., "Quantifier-first construction" and "Object-first construction", including the animacy, definiteness, givenness, and pronominality of objects, as well as the length difference between objects and quantifiers and the type of verbal classifiers. The two variants differ in the values of these variables, which may result from the postverbal constraint, the end-focus principle, and the end-weight principle in Chinese. However, these distinctions in the formal or semantic aspects will be neutralized in natural communication, thereby allowing the alternation of this construction. [ABSTRACT FROM AUTHOR]

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Abstract. A probabilistic grammar approach to language assumes that grammatical knowledge has a probabilistic component and that this probabilistic knowledge of language is derived from language experience. It is assumed that the extent and nature of grammatical knowledge is reflected in language variation. In the present paper, the probabilistic variation patterns of the Estonian exterior locative cases and the corresponding postpositions are determined by exploring a large, manually annotated dataset of Estonian web texts. It is proposed that there are both similarities and differences in the morphosyntactic knowledge on the part of Estonian speakers as pertains to the three alternations: allative ~ peale ‘onto’, adessive ~ peal ‘on’, ablative ~ pealt ‘off’. The study points towards the stability and direction of the factors that have been found significant in the previous studies. Multivariate analysis of corpus data shows that the grammatical knowledge of Estonian exterior cases and the corresponding postpositions is probabilistic and regulated by both morphosyntactic and semantic factors. Kokkuvõte. Jane Klavan: Eesti keele väliskohakäänete ja kaassõnade peal, peale, pealt kasutus eestikeelses veebis. Tõenäosusliku grammatika raamistikus eeldatakse, et grammatiline teadmine hõlmab endas tõenäosuslikku komponenti ja et see tõenäosuslik komponent pärineb suures osas keele kasutuse kogemusest. Sellistelt põhimõtetelt lähtuvate uurimuste eesmärgiks on mõõta grammatilise teadmise ulatust ja olemust nagu see peegeldub keelelises varieeruvuses. Esitan suuremahulise korpusuurimuse eesti keele väliskohakäänete ja nendega rööpselt tarvitatavate kaassõnade (peale, peal, pealt) paralleelsest kasutusest eestikeelsetel veebilehtedel. Korpusandmete multifaktoriaalne analüüs näitab, et grammatiline teadmine sellest rööpsest kasutusest on tõenäosuslik ja et seda reguleerivad nii morfosüntaktilised kui semantilised tegurid.

Academic writing in the second half of the twentieth century witnesses a notable decrease in be-passives in British and American English (AmE). This trend is more advanced in the soft than in the hard sciences; with the exception of AmE, moreover, regional variation is not highly significant. This paper aims to discover whether the use of passives is conditioned by the same factors across seven different varieties of English (both as a first and as an institutionalized second language). For this purpose, we automatically retrieve central be-passives and active transitives from syntactically annotated International Corpus of English corpora and code for factors that are likely to play a role in the choice between active and passive (such as the semantics of the participant roles or the length of the constituents). Our results show that, while the same factors predict the choice of a passive over an active verb phrase across first- and second-language varieties, subtle differences are found in the effect size that some factors (animacy, givenness and length of passive subject) have, notably in Hong Kong and Philippine English. Some (but not all) of these find an explanation in substrate influence. [ABSTRACT FROM AUTHOR]

A probabilistic grammar approach to language assumes that grammatical knowledge has a probabilistic component and that this probabilistic knowledge of language is derived from language experience. It is assumed that the extent and nature of grammatical knowledge is reflected in language variation. In the present paper, the probabilistic variation patterns of the Estonian exterior locative cases and the corresponding postpositions are determined by exploring a large, manually annotated dataset of Estonian web texts. It is proposed that there are both similarities and differences in the morphosyntactic knowledge on the part of Estonian speakers as pertains to the three alternations: allative ~ peale 'onto', adessive ~ peal 'on', ablative ~ pealt 'off'. The study points towards the stability and direction of the factors that have been found significant in the previous studies. Multivariate analysis of corpus data shows that the grammatical knowledge of Estonian exterior cases and the corresponding postpositions is probabilistic and regulated by both morphosyntactic and semantic factors. [ABSTRACT FROM AUTHOR]

Szmrecsanyi et al. (2016) define probabilistic indigenization as the process whereby probabilistic constraints shape variation patterns in different ways, which eventually leads to more heterogeneity in the constraints governing syntactic variation across different varieties of English. The present study extends our knowledge of the heterogeneity of probabilistic grammars by sketching a corpus-based variationist method for calculating the similarity between varieties thereby drawing inspiration from the comparative sociolinguistics literature. Based on linguistic material from the International Corpus of English, we ascertain the degree of regional variability of five probabilistic constraints on the genitive, dative, particle placement and subject pronoun omission alternations across three varieties of English, namely British, Indian and Singapore English. Our results indicate that, of the four alternations under study, the genitive alternation is the most homogeneous one from a regional perspective, followed – in increasing order of heterogeneity – by subject pronoun omission, dative and particle placement alternations. On the basis of these findings, we evaluate claims in the literature according to which the extent of probabilistic indigenization is proportional to the lexical specificity of the syntactic phenomenon under study, a hypothesis that is borne out by our data. [ABSTRACT FROM AUTHOR]

In weight-sensitive languages, stress is influenced by syllable weight. As a result, heavy syllables should attract, not repel, stress. The Portuguese lexicon, however, presents a case where weight seems to negatively impact stress: antepenultimate stress is more frequent in light antepenultimate syllables than in heavy ones. This pattern is phonologically unexpected and appears to contradict the typology of weight and stress: it is a case where lexical statistics and the grammar conflict. Portuguese also contains gradient, not categorical, weight effects, which weaken as we move away from the right edge of the word. In this article, I examine how native speakers' grammars capture these subtle weight effects, and whether the negative antepenultimate weight effect is learned or repaired. I show that speakers learn the gradient weight effects in the language, but do not learn the unnatural negative effect. Instead, speakers repair this pattern and generalize a positive weight effect to all syllables in the stress domain. This study thus provides empirical evidence that speakers may not only ignore unnatural patterns, but also learn the opposite pattern.* [ABSTRACT FROM AUTHOR]

• A deep neuroevolution system is presented. • Our system is based on Probabilistic Model Building Genetic Programming approach. • Deep neural networks discovered by the system can diagnose heart rhythm problems. • Performance of the proposed network is evaluated on a physiological dataset. • Our network can outperform several machine learning algorithms in diagnosis. Ventricular tachycardia is a rapid heart rhythm that begins in the lower chambers of the heart. When it happens continuously, this may result in life-threatening cardiac arrest. In this paper, we apply deep learning techniques to tackle the problem of the physiological signal classification of ventricular tachycardia, since deep learning techniques can attain outstanding performance in many medical applications. Nevertheless, human engineers are required to manually design deep neural networks to handle different tasks. This can be challenging because of many possible deep neural network structures. Therefore, a method, called ADAG-DNE, is presented to automatically design deep neural network structures using deep neuroevolution. Our approach defines a set of structures using probabilistic grammar and searches for best network structures using Probabilistic Model Building Genetic Programming. ADAG-DNE takes advantages of the probabilistic dependencies found among the structures of networks. When applying ADAG-DNE to the classification problem, our discovered model achieves better accuracy than AlexNet, ResNet, and seven non-neural network classifiers. It also uses about 2% of parameters of AlexNet, which means the inference can be made quickly. To summarize, our method evolves a deep neural network, which can be implemented in expert systems. The deep neural network achieves high accuracy. Moreover, it is simpler than existing deep neural networks. Thus, computational efficiency and diagnosis accuracy of the expert system can be improved. [ABSTRACT FROM AUTHOR]

This special collection brings together research exploring and evaluating probabilistic variation patterns from a comparative perspective, thus highlighting current work situated at the crossroads of research on usage-based theoretical linguistics, variationist linguistics, and sociolinguistics. The contributions in the collection advance our understanding of the plasticity of syntactic knowledge on the part of language users with diverse regional and/or cultural backgrounds, and demonstrate how a probabilistic approach to grammatical variation can offer insight into the scope and limits of language variation. In this general introduction to the special collection, we provide some essential background for perspective, and subsequently summarize the contributions in the collection.

Tree adjoining grammars (TAGs) are mildly context sensitive formalisms used mainly in modelling natural languages. Usage and research on these psycho linguistic formalisms have been erratic in the past decade, due to its demanding construction and difficulty to parse. However, they represent promising future for formalism based NLP in multilingual scenarios. In this paper we demonstrate basic synchronous Tree adjoining grammar for English-Tamil language pair that can be used readily for machine translation. We have also developed a multithreaded chart parser that gives ambiguous deep structures and a par dependency structure known as TAG derivation. Furthermore we then focus on a model for training this TAG for each language using a large corpus of text through a map reduce frequency count model in spark and estimation of various probabilistic parameters for the grammar trees thereafter; these parameters can be used to perform statistical parsing on the trained grammar.

This paper introduces a new resource designed to facilitate the quantitative investigation of syntactic variation in spoken language from a comparative perspective. The datasets comprise homogeneously annotated collections of “interchangeable” (i.e. competing) genitive and dative variants in four varieties of English: American English, British English, Canadian English, and New Zealand English. To showcase the empirical potential of the data source, we present a suggestive analysis that investigates the extent to which the probabilistic grammar of genitive and dative variant choice differs across varieties. The statistical analysis reveals that while there are a number of subtle probabilistic contrasts between the regional varieties under study, there is overall a striking degree of cross-varietal homogeneity. We conclude by outlining directions for future research. This article is part of the Special Collection: Probabilistic grammars: Syntactic variation in a comparative perspective

This paper builds on the observation that the animacy effects we find in English genitive variation are part of a larger cross-linguistic pattern as reflected in possession splits based on animacy (Koptjevskaja-Tamm 2001, 2002; Stolz et al. 2008), which are an expression of harmonic alignment in the domain of possession (Aissen & Bresnan 2002; Rosenbach 2008). Focussing on English and Afrikaans, a contrastive corpus analysis of genitive variation reveals similar forms of animacy splits in these two languages, though they differ in the strength of the animacy constraint, with the Afrikaans prenominal possessive (the se-genitive) occurring more freely with inanimate possessors than the English s-genitive. In a follow-up experimental study it is then shown that the weaker animacy constraint in Afrikaans carries over to the L2 English of Afrikaans speakers in South Africa. This study emphasizes the importance of a cross-linguistic perspective when looking at genitive variation in English and its varieties (1) to recognize that Englishes form part of a typological continuum of possession splits, and (2) to enable us to identify the possible transfer of constraint strengths from one language to another one in a situation where these languages are in contact, as in the case of English and Afrikaans in South Africa.This article is part of the Special Collection: Probabilistic grammars: Syntactic variation in a comparative perspective

In this paper, I propose that Probabilistic Grammar may benefit from incorporating theoretical insights from Cognitive (Socio)Linguistics. I begin by introducing Cognitive Linguistics. Then, I propose a model of the domain-general cognitive constraints (markedness of coding, statistical preemption, and structural priming) that condition language (variation). Subsequently, three case studies are presented that test the predictions of this model on three distinct alternations in English and Spanish (variable agreement with existential haber, variable agreement with existential there be, and Spanish subject pronoun expression). For each case study, the model generates empirically correct predictions. I conclude that, with the support of Cognitive Sociolinguistics, Probabilistic Grammar may move beyond description towards explanation. This article is part of the special collection: Probabilistic grammars: Syntactic variation in a comparative perspective

A number of studies report that frequency is a poor predictor of acceptability, in particular at the lower end of the frequency spectrum. Because acceptability judgments provide a substantial part of the empirical foundation of dominant linguistic traditions, understanding how acceptability relates to frequency, one of the most robust predictors of human performance, is crucial. The relation between low frequency and acceptability is investigated using corpus- and behavioral data on the distribution of infinitival and finite that-complements in Polish. Polish verbs exhibit substantial subordination variation and for the majority of verbs taking an infinitival complement, the that-complement occurs with low frequency (<0.66 ipm). These low-frequency that-clauses, in turn, exhibit large differences in how acceptable they are to native speakers. It is argued that acceptability judgments are based on configurations of internally structured exemplars, the acceptability of which cannot reliably be assessed until sufficient evidence about the core component has accumulated. [ABSTRACT FROM AUTHOR]

Daily activity pattern is the reflection and abstraction of actual individual activity participation on daily basis. It carries information on activity type, frequency and sequence. Preference of daily activity patterns varies among population, and thus can be interpreted as personal life styles. This paper advances studies on human daily activity patterns by providing new perspective and methodology in the modeling and learning of daily activity patterns using probabilistic context-free grammars. In this paper, similarities between daily activity pattern-which is defined as activity sequence-and language are explored. We developed context-free grammars to parse and generate daily activity patterns. To replicate people's heterogeneity in selecting daily activity patterns, we introduced probabilistic context-free grammars and proposed several formulations to estimate the probability of a context-free grammar with daily activity patterns observed in household travel survey. We conducted experiments on the proposed formulations, finding that under proper context-free grammar and problem formulation, the estimated probabilistic context-free grammar is able to reproduce the observed pattern distribution in household travel survey with satisfactory precision. Practically, the proposed methodology sheds light on the issue of generating stochastic and accessibility-dependent choice sets for daily activity pattern models in certain activity-based modeling frameworks. [ABSTRACT FROM AUTHOR]

This paper addresses the contribution that corpus-based studies of syntactic variation can make to the construction, elaboration and testing of formal syntactic theories, with a particular focus on the testing dimension. In particular, I present a new empirical study of obligatory and optional asymmetric negative concord phenomena, and I show how an influential analysis for obligatory concord patterns (de Swart, 2010) can be tested using variation data through looking at the predictions that its natural probabilistic extension makes for the forms, interpretations and frequency distributions of expressions in languages in which asymmetric concord is optional. In obligatory negative concord languages like Spanish, negative indefinites, such as nadie 'no one', appear bare in preverbal position (i.e. in an expression like Nadie ha venido 'No one came'), but they cooccur with the negative marker no in postverbal negative concord structures such as No he visto a nadie 'I did not see anyone.' (lit. 'I did not see no one.'). Furthermore, in this language, co-occurrence between a negative marker and an n-word is either prohibited (*Nadie no ha venido), or it is obligatory (*He visto a nadie). Québec French shows a variable version of the Spanish pattern in which the negation marker optionally co-occurs with postverbal negative indefinites (J'ai (pas) vu personne 'I saw no one') but is prohibited with preverbal negative indefinites *Personne est pas venu (Ok: Personne est venu. 'No one came'). I show how the predictions for Montréal French of de Swart's analysis of Spanish can be tested (and, in this case, mostly verified) using a quantitative study of the distribution of bare and concord structures in the Montréal 84 corpus of spoken Montréal French (Thibault & Vincent, 1990) through looking at its natural extension within Boersma (1998)'s stochastic generalization of the Optimality Theory framework, which is the framework in which de Swart's proposal is set. [ABSTRACT FROM AUTHOR]

We sketch a project that marries probabilistic grammar research to scholarship on World Englishes, thus synthesizing two previously rather disjoint lines of research into one unifying project with a coherent focus. This synthesis is hoped to advance usage-based theoretical linguistics by adopting a large-scale comparative and sociolinguistically responsible perspective on grammatical variation. To highlight the descriptive and theoretical benefits of the approach, we present case studies of three syntactic alternations (the particle placement, genitive, and dative alternations) in four varieties of English (British, Canadian, Indian, and Singapore), as represented in the International Corpus of English. We report that the varieties studied share a core probabilistic grammar which is, however, subject to indigenization at various degrees of subtlety, depending on the abstractness of the syntactic patterns studied. [ABSTRACT FROM AUTHOR]

In Old English, the ditransitive construction with an accusative (direct) object and a dative (indirect) object occurred with two alternating object orders: ACC-DAT vs. DAT-ACC. This study examines the motivations behind the OE speakers' choice for one of both orders. The effect of 16 factors was evaluated based on a corpus sample of N = 2409 sentences drawn from the York-Toronto-Helsinki Parsed Corpus of Old English Prose (Taylor et al. 2003). The data was analysed by means of a mixed-effects logistic regression analysis. The results indicate that the ACC+DAT alternation was largely driven by the same factors that motivate the dative alternation in later stages of British English. However, no evidence was found for specific verb preferences in Old English, which suggests that the OE object alternation was less driven by semantics than the dative alternation in PDE. It is argued that the results further substantiate Wolk et al.'s (2012) claim that the cognitive mechanisms underlying present-day probabilistic patterns also underlie past variation. [ABSTRACT FROM AUTHOR]

Tree adjoining grammars (TAGs) are mildly context sensitive formalisms used mainly in modelling natural languages. Usage and research on these psycho linguistic formalisms have been erratic in the past decade, due to its demanding construction and difficulty to parse. However, they represent promising future for formalism based NLP in multilingual scenarios. In this paper we demonstrate basic synchronous Tree adjoining grammar for English-Tamil language pair that can be used readily for machine translation. We have also developed a multithreaded chart parser that gives ambiguous deep structures and a par dependency structure known as TAG derivation. Furthermore we then focus on a model for training this TAG for each language using a large corpus of text through a map reduce frequency count model in spark and estimation of various probabilistic parameters for the grammar trees thereafter; these parameters can be used to perform statistical parsing on the trained grammar. [ABSTRACT FROM AUTHOR]

Highlights: [•] Abstract phonology uses abstract operations to explain productivity and regularity. [•] Usage-based phonology uses memory to explain quantitative detail, lexical diversity. [•] Separately, abstract and usage based models each fail to account for some phenomena. [•] Variable rule models meld abstract operations with probabilistic quantification. [•] The VR approach is capable of modeling the widest range of observed phenomena. [Copyright &y& Elsevier]

We present a cross-constructional approach to the history of the genitive alternation and the dative alternation in Late Modern English (AD 1650 to AD 1999), drawing on richly annotated datasets and modern statistical modeling techniques. We identify cross-constructional similarities in the development of the genitive and the dative alternation over time (mainly with regard to the loosening of the animacy constraint), a development which parallels distributional changes in animacy categories in the corpus material. Theoretically, we transfer the notion of 'probabilistic grammar' to historical data and claim that the corpus models presented reflect past speakers' knowledge about the distribution of genitive and dative variants. The historical data also helps to determine what is constant (and timeless) in the effect of selected factors such as animacy or length, and what is variant. [ABSTRACT FROM AUTHOR]

Abstract: Computational linguistics play an important role in modeling various applications. Stochastic context-free grammars (SCFGs), for instance, are widely used in compiler testing, natural language processing (NLP), speech recognition and bioinformatics. The commonality of the former projects is that all require consistent SCFGs. This article addresses the consistency problem of SCFGs. We introduce a criterion for deciding the consistency and present a method for turning an inconsistent SCFG into consistent. The feasibility of our theory is demonstrated on random test data generation for some programming languages and formal notations. [Copyright &y& Elsevier]

Bresnan et al. (2007) show that a statistical model can predict United States (US) English speakers’ syntactic choices with ‘give’-type verbs extremely accurately. They argue that these results are consistent with probabilistic models of grammar, which assume that grammar is quantitive, and learned from exposure to other speakers. Such a model would also predict syntactic differences across time and space which are reflected not only in the use of clear dialectal features or clear-cut changes in progress, but also in subtle factors such as the relative importance of conditioning factors, and changes over time in speakers’ preferences between equally well-formed variants. This paper investigates these predictions by comparing the grammar of phrases involving ‘give’ in New Zealand (NZ) and US English. We find that the grammar developed by Bresnan et al. for US English generalizes remarkably well to NZ English. NZ English is, however, subtly different, in that NZ English speakers appear to be more sensitive to the role of animacy. Further, we investigate changes over time in NZ English and find that the overall behavior of ‘give’ phrases has subtly shifted. We argue that these subtle differences in space and time provide support for the gradient nature of grammar, and are consistent with usage-based, probabilistic syntactic models. [Copyright &y& Elsevier]

This article proposes a new model of human concept learning that provides a rational analysis of learning feature-based concepts. This model is built upon Bayesian inference for a grammatically structured hypothesis space - a concept language of logical rules. This article compares the model predictions to human generalization judgments in several well-known category learning experiments, and finds good agreement for both average and individual participant generalizations. This article further investigates judgments for a broad set of 7-feature concepts - a more natural setting in several ways - and again finds that the model explains human performance. [ABSTRACT FROM AUTHOR]

A generalization of contextual grammars by adding probabilities is introduced, enriching the generative power of such grammars. An example exhibits a non-contextual, even not context-free language. [ABSTRACT FROM AUTHOR]