Induction of augmented transition networks

LAS is a program that acquires augmented transition network (ATN) grammars. It requires as data sentences of the language and semantic network representatives of their meaning. In acquiring the ATN grammars, it induces the word classes of the language, the rules of formation for sentences, and the rules mapping sentences onto meaning. The induced ATN grammar can be used both for sentence generation and sentence comprehension. Critical to the performance of the program are assumptions that it makes about the relation between sentence structure and surface structure (the graph deformation condition), about when word classes may be formed and when ATN networks may be merged, and about the structure of noun phrases. These assumptions seem to be good heuristics which are largely true for natural languages although they would not be true for many nonnatural languages. Provided these assumptions are satisfied LAS seems capable of learning any context-free language.     

The Role of Simple Semantics in the Process of Artificial Grammar Learning

This study investigated the effect of semantic information on artificial grammar learning (AGL). Recursive grammars of different complexity levels (regular language, mirror language, copy language) were investigated in a series of AGL experiments. In the with-semantics condition, participants acquired semantic information prior to the AGL experiment; in the without-semantics control condition, participants did not receive semantic information. It was hypothesized that semantics would generally facilitate grammar acquisition and that the learning benefit in the with-semantics conditions would increase with increasing grammar complexity. Experiment 1 showed learning effects for all grammars but no performance difference between conditions. Experiment 2 replicated the absence of a semantic benefit for all grammars even though semantic information was more prominent during grammar acquisition as compared to Experiment 1. Thus, we did not find evidence for the idea that semantics facilitates grammar acquisition, which seems to support the view of an independent syntactic processing component.     

A re-evaluation of story grammars

Black and Wilensky (1979) have made serious methodological errors in analyzing story grammars, and in the process they have committed additional errors in applying formal language theory. Our arguments involve clarifying certain aspects of knowledge representation crucial to a proper treatment of story understanding. Particular criticisms focus on the following shortcomings of their presentation: 1) an erroneous statement from formal language theory, 2) misapplication of formal language theory to story grammars, 3) unsubstantiated and doubtful analogies with English grammar, 4) various non sequiturs concerning the generation of non-stories, 5) a false claim based on the artificial distinction between syntax and semantics, and 6) misinterpretation of the role of story grammars in story understanding. We conclude by suggesting appropriate criteria for the evaluation of story grammars.     

An evaluation of story grammars

We evaluate the “story grammar” approach to story understanding from three perspectives. We first examine the formal properties of the grammars and find only one to be formally adequate. We next evaluate the grammars empirically by asking whether they generate all simple stories and whether they generate only stories. We find many stories that they do not generate and one major class of nonstory that they do generate. We also evaluate the grammars' potential as comprehension models and find that they would add nothing to semantic models that focus on the story content. Hence we advocate a story content oriented approach to studying story understanding instead of the structural story grammar approach.     

三语者语义通达中的跨语言重复启动效应

采用跨语言重复启动的任务范式探讨三语者的语义通达机制。被试为在广州学习汉语的印度尼西亚留学生48名。自变量是学习条件(包括学过与未学过), 因变量是单词判断的反应时和正确率。实验1探讨三语者在视觉与听觉呈现的三语词汇语义通达任务中是否会借助于一语对等词, 结果发现一语词汇在两种任务条件下都能够发挥中介作用, 此结果表明了三语者与双语者语义通达机制的一致性; 实验2探讨三语者在视觉与听觉呈现的三语词汇语义通达任务中是否会借助于二语对等词, 结果发现二语词汇只能在视觉呈现任务条件下发挥中介作用, 此结果表明二语词汇在三语语义通达过程中的中介作用具有限制性。本研究结果表明三语者的语义通达机制与双语者既有一致性, 也有其限制性。     

Varieties of crossing dependencies: structure dependence and mild context sensitivity

Four different kinds of grammars that can define crossing dependencies in human language are compared here: (i) context sensitive rewrite grammars with rules that depend on context, (ii) matching grammars with constraints that filter the generative structure of the language, (iii) copying grammars which can copy structures of unbounded size, and (iv) generating grammars in which crossing dependencies are generated from a finite lexical basis. Context sensitive rewrite grammars are syntactically, semantically and computationally unattractive. Generating grammars have a collection of nice properties that ensure they define only “mildly context sensitive” languages, and Joshi has proposed that human languages have those properties too. But for certain distinctive kinds of crossing dependencies in human languages, copying or matching analyses predominate. Some results relevant to the viability of mildly context sensitive analyses and some open questions are reviewed.     

Rush Rhees on Wittgenstein and “What Language Is”

Rush Rhees identified the question of “what language is” as central to Wittgenstein's philosophy, but believed he failed to follow up adequately the connections between the reality of discourse and our reality as persons. Integral to this is Rhees's elaboration of the distinction between such investigations into language and approaches to philosophy restricted to elucidating “the grammars of particular expressions.” The failure to fully acknowledge Rhees's contribution to the understanding of these issues has vitiated recent New Wittgensteinian discussion of both Wittgenstein and Rhees.     

Processing local transitions versus long-distance syntactic hierarchies

A recent study by Fitch and Hauser reported that finite-state grammars can be learned by non-human primates, whereas phrase-structure grammars cannot. Humans, by contrast, learn both grammars easily. This species difference is taken as the critical juncture in the evolution of the human language faculty. Given the far-reaching relevance of this conclusion, the question arises as to whether the distinction between these two types of grammars finds its reflection in different neural systems within the human brain.     

Inconsistency Theories of Semantic Paradox

It is argued that a certain form of the view that the semantic paradoxes show that natural languages are "inconsistent" provides the best response to the semantic paradoxes. After extended discussions of the views of Kirk Ludwig and Matti Eklund, it is argued that in its strongest formulation the view maintains that understanding a natural language is sharing cognition of an inconsistent semantic theory for that language with other speakers. A number of aspects of this approach are discussed and a few objections are entertained.     

On throwing out the baby with the bathwater: A reply to Black and Wilensky's evaluation of story grammars

A number of criticisms of a recent paper byare made. (1) In attempting to assess the observational adequacy of story grammars, they state that a context-free grammar cannot handle discontinuous elements; however, they do not show that such elements occur in the domain to which the grammars apply. Further, they do not present adequate evidence for their claim that there are acceptable stories not accounted for by existing grammars and that the grammars will accept nonstories such as procedures. (2) They state that it has been proven that under natural conditions children cannot learn transformational grammars, which is a misrepresentation of the learnability proofs which have been offered. (3) Most important, they take an unduly narrow approach to story understanding by claiming that people only understand story content and do not have knowledge of story structure which is useful in comprehension or memory. Counterevidence from the literature is cited which indicates that such knowledge is both useful and used, and a number of methods for assessing the psychological adequacy of structural models are discussed.     

Effects of Weight and Syntactic Priming on the Production of Cantonese Verb-Doubling

Verb-doubling, where a copy of the main verb occurs both before and after the direct object, is a structure commonly used in Chinese in sentences containing a frequency or duration phrase. In Cantonese, verb-doubling is highly optional and therefore problematic for existing syntactic, semantic, and pragmatic accounts of its distribution in Mandarin. The current study investigates the role of grammatical weight and syntactic priming in the choice of verb-doubling in Cantonese. Following (Hawkins in Efficiency and complexity in grammars, Oxford University Press, Oxford, 2004) theory of efficiency and complexity in grammars, we hypothesized that speakers would choose verb-doubling over the canonical structure more often when the object NP was heavy, in order to minimize processing domains. In addition, we expected an effect of syntactic priming whereby the choice of structure is influenced by a previously encountered structure. The results of two elicited production experiments revealed no weight-based preference for verb-doubling, and only minor effects of grammatical weight, but clear effects of syntactic priming: (1) for both canonical primes and verb-doubling primes, speakers tended to repeat previously heard structures; (2) the priming effect was just as strong in the heavy NP condition, where speakers made more errors recalling the semantic content of the sentence, suggesting that semantic information is represented separately from syntactic information; (3) the priming effect was stronger for informationally accurate responses, suggesting that recently activated structures are easier to produce than other structures under conditions of increased cognitive load. We conclude that the choice between verb-doubling and canonical structure in Cantonese is easily influenced by the structure of recently encountered sentences, with weight effects, if any, being more difficult to detect.     

A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word‐Order Universal

In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language‐learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners’ input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized learning biases. The test case is an experiment ( Culbertson, Smolensky, & Legendre, 2012 ) targeting the learning of word‐order patterns in the nominal domain. The model identifies internal biases of the experimental participants, providing evidence that learners impose (possibly arbitrary) properties on the grammars they learn, potentially resulting in the cross‐linguistic regularities known as typological universals. Learners exposed to mixtures of artificial grammars tended to shift those mixtures in certain ways rather than others; the model reveals how learners’ inferences are systematically affected by specific prior biases. These biases are in line with a typological generalization—Greenberg's Universal 18—which bans a particular word‐order pattern relating nouns, adjectives, and numerals.     

Language acquisition following hemidecortication: Linguistic superiority of the left over the right hemisphere

The language development of three 9- and 10-year-old children possessing only a right or a left hemisphere was studied. Surgical removal of one brain half antedated the beginning of speech, so each child has acquired speech and language with only one hemisphere. Different configurations of language skill have developed in the two isolated hemispheres: phonemic and semantic abilities are similarly developed but syntactic competence has been asymmetrically acquired. In relation to the left, the right brain half is deficient in understanding auditory language, especially when meaning is conveyed by syntactic diversity; detecting and correcting errors of surface syntactic structure; repeating stylistically permuted sentences; producing tag questions which match the grammatical features of a heard statement; determining sentence implication; integrating semantic and syntactic information to replace missing pronouns; and performing judgments of word interrelationships in sentences. Language development in an isolated right hemisphere, even under seizure-free conditions, results in incomplete language acquisition.     

From semantics to syntax and back again: argument structure in the third year of life

An essential part of the human capacity for language is the ability to link conceptual or semantic representations with syntactic representations. On the basis of data from spontaneous production, suggested that young children acquire such links on a verb-by-verb basis, with little in the way of a general understanding of linguistic argument structure. Here, we suggest that a receptive understanding of argument structure--including principles linking syntax and conceptual/semantic structure--appears earlier. In a forced-choice pointing task we have shown that toddlers in the third year of life can map a single scene (involving a novel causative action paired with a novel verb) onto two distinct syntactic frames (transitive and intransitive). This suggests that even before toddlers begin generalizing argument structure in their own speech, they have some representation of conceptual/semantic categories, syntactic categories, and a system that links the two.     

The relationship between theory of mind and metaphor: Evidence from children with language impairment and autistic spectrum disorder

Happé (1993) proposed that theory of mind (ToM) understanding was necessary for comprehension of metaphorical expressions. The current study investigated the role of both ToM and language ability in metaphor understanding. Ninety‐four children aged 8–15 years with communication impairments were grouped according to language ability and autistic symptomatology in the first instance, and then according to ToM performance. Their performance on a metaphor task was compared to 34 typically developing age‐matched peers. These analyses showed that only children with language impairment, with or without concurrent autistic features, were impaired on the metaphor task. Furthermore, possession of first‐order ToM skills did not ensure metaphor comprehension. Instead, semantic ability was a stronger predictor of performance on the metaphor task. These results are considered with reference to the view that ToM understanding is necessary for the comprehension of metaphor.     

Applying automated deduction to natural language understanding

Very few natural language understanding applications employ methods from automated deduction. This is mainly because (i) a high level of interdisciplinary knowledge is required, (ii) there is a huge gap between formal semantic theory and practical implementation, and (iii) statistical rather than symbolic approaches dominate the current trends in natural language processing. Moreover, abduction rather than deduction is generally viewed as a promising way to apply reasoning in natural language understanding. We describe three applications where we show how first-order theorem proving and finite model construction can efficiently be employed in language understanding.The first is a text understanding system building semantic representations of texts, developed in the late 1990s. Theorem provers are here used to signal inconsistent interpretations and to check whether new contributions to the discourse are informative or not. This application shows that it is feasible to use general-purpose theorem provers for first-order logic, and that it pays off to use a battery of different inference engines as in practice they complement each other in terms of performance.The second application is a spoken-dialogue interface to a mobile robot and an automated home. We use the first-order theorem prover spass for checking inconsistencies and newness of information, but the inference tasks are complemented with the finite model builder mace used in parallel to the prover. The model builder is used to check for satisfiability of the input; in addition, the produced finite and minimal models are used to determine the actions that the robot or automated house has to execute. When the semantic representation of the dialogue as well as the number of objects in the context are kept fairly small, response times are acceptable to human users.The third demonstration of successful use of first-order inference engines comes from the task of recognising entailment between two (short) texts. We run a robust parser producing semantic representations for both texts, and use the theorem prover vampire to check whether one text entails the other. For many examples it is hard to compute the appropriate background knowledge in order to produce a proof, and the model builders mace and paradox are used to estimate the likelihood of an entailment.     

Processing typology and why psychologists need to know about it

This paper illustrates an interdisciplinary research program based on cross-linguistic comparison that is of relevance for psychologists working on language processing, so-called “processing typology” [Hawkins, J. A. (1994). A performance theory of order and constituency. Cambridge: Cambridge University Press; (2004). Efficiency and complexity in grammars. Oxford: Oxford University Press]. Its most original feature is the hypothesis that patterns and preferences found in performance in languages with several structures of a given type (e.g. preferences among alternative word orders) are the same patterns and preferences one finds across languages in the fixed conventions of grammars that permit less variation (i.e. in fixed word orders). Data supporting this “performance-grammar correspondence hypothesis” are summarized. One of its consequences is that principles of performance can be used to make predictions for patterns of grammatical variation, while preferences in grammars become relevant for the testing of psycholinguistic ideas. Two proposed principles of ordering in performance, in terms of “end weight” and “memory cost”, are criticized on the basis of cross-linguistic data. Both predict an asymmetry in ordering, whereby some category A precedes B. But end weight is not a valid cross-linguistic asymmetry, and memory cost cannot explain certain asymmetries for which it has been invoked when different language types are considered. The paper argues for greater mutual awareness between processing theorists and language typologists, for more consideration of non-European grammars and language types in psycholinguistics, and for a greater appeal to processing in the explanation of typological variation.     

网络语言的创造性加工过程:新颖N400与LPC

采用事件相关电位(ERP)技术比较在语义违反范式下网络语言和标准汉语的语义加工差异。结果发现:(1)不管是网络语言还是标准汉语,相对于语义一致条件,语义不一致条件在400 ms诱发了一个更负的负成分,但网络语言的经典N400差异波具有更晚的潜伏期和更长的持续时间;(2)溯源结果发现,网络语言和标准汉语的经典N400差异波的早期和晚期的定位均分别定位于丘脑和前扣带回,表明N400延迟效应是由个体对网络语言相对低的流利度所致,反映了认知冲突的延续;(3)在语义一致性条件下,网络语言比标准汉语诱发了一个更负的新颖N400和一个更正的晚期正成分(LPC),分别定位于前扣带回和海马,二者分别反映了新颖网络含义的识别以及新颖语义信息的整合与新颖语义联结的形成。ERP结果支持了网络语言加工属于创造性思维过程。     

Unveiling phonological universals: A linguist who asks "why" is (inter alia) an experimental psychologist

Evans and Levinson are right to hold theories of language accountable for language diversity, but typological data alone cannot determine the structure of mental phonological grammars. Grammatical universals are nonetheless testable by formal and experimental methods, and the growing research in experimental phonology demonstrates the viability of a comparative experimental evaluation of the UG hypothesis.