Object-Verb in Early Modern English: Modelling Markedness

Although Verb-Object (VO) is the basic unmarked constituent order of predicates in Present-Day English, in earlier stages of the language Object-Verb (OV) is the preferred pattern in some syntactic contexts. OV predicates are significantly frequent in Old and Middle English, and are still attested up to 1550, when they “appear to dwindle away” (Moerenhout & van der Wurff 2005: 83). This study looks at OV in Early Modern English (EModE), using a corpus-based perspective and statistical modelling to explore a number of textual, syntactic, and semantic/processing variables which may account for what by that time had already become a marked, though not yet archaic, word-order pattern. The data for the study were retrieved from the Penn-Helsinki Parsed Corpus of Early Modern English (1500–1710) and the Parsed Corpus of Early English Correspondence (c.1410–1695), the largest electronic parsed collections of EModE texts. The findings reveal a preference for OV in speech-related text types, which are less constrained by the rules of grammar, in marked syntactic contexts, and in configurations not subject to the general linearisation principles of end-weight and given-new. Where these principles are complied with, the probability of VO increases.

Localization and classification of human facial emotions using local intensity order pattern and shape-based texture features

Facial emotion recognition system (FERS) recognize the person’s emotions based on various image processing stages including feature extraction as one of the major processing steps. In this study, we presented a hybrid approach for recognizing facial expressions by performing the feature level fusion of a local and a global feature descriptor that is classified by a support vector machine (SVM) classifier. Histogram of oriented gradients (HoG) is selected for the extraction of global facial features and local intensity order pattern (LIOP) to extract the local features. As HoG is a shape-based descriptor, with the help of edge information, it can extract the deformations caused in facial muscles due to changing emotions. On the contrary, LIOP works based on the information of pixels intensity order and is invariant to change in image viewpoint, illumination conditions, JPEG compression, and image blurring as well. Thus both the descriptors proved useful to recognize the emotions effectively in the images captured in both constrained and realistic scenarios. The performance of the proposed model is evaluated based on the lab-constrained datasets including CK+, TFEID, JAFFE as well as on realistic datasets including SFEW, RaF, and FER-2013 dataset. The optimal recognition accuracy of 99.8%, 98.2%, 93.5%, 78.1%, 63.0%, 56.0% achieved respectively for CK+, JAFFE, TFEID, RaF, FER-2013 and SFEW datasets respectively.

Focus position in SOV ~ SVO-varying languages – evidence from Enets, Nganasan, and Dolgan

It is well known that the basic word order pattern of a language is closely intertwined with the syntactic realization of argument focus constituents. SVO languages exhibit a focus position at the sentence’s right periphery, SOV languages exhibit an immediately preverbal focus position. The study at hand examines both the basic word order patterns and the syntactic realization of focus in Enets, Nganasan and Dolgan. The major outcome is that Nganasan and Dolgan are much more flexible with respect to their basic word order pattern and, in consequence, exhibit both an immediately preverbal focus position and a right-peripheral focus position, whilst Enets realizes argument focus constituents almost exclusively immediately preverbally. Kokkuvõte. Chris Lasse Däbritz: Fookuse asend SOV ~ SVO variatsiooniga keeltes – tõendus eenetsi, nganassaani ja dolgaani keeltest. On üldiselt teada, et ühe keele põhiline sõnajärjestus on tihedas seoses (kitsalt) fookustatud konstituentide süntaksiga. SVO keeltes on (kitsas) fookus reali seeritud lause paremas perifeerias, SOV keeltes on (kitsas) fookus realiseeritud vahetult verbi ees. Selles artiklis uuritakse nii põhilist sõnajärjestust kui ka fookuse süntaksit eenetsi, nganassaani ja dolgaani keeltes. Uurimuse kõige olulisem tulemus on see, et nganassaani ja dolgaani keeltes on põhiline sõnajärjestus tunduvalt paindlikum kui eenetsi keeles. Sellepärast realiseeritakse nganassaani ja dolgaani keeltes (kitsalt) fookustatud konstituendid nii vahetult verbi ees kui ka lause paremas perifeerias, samas kui eenetsi keeles realiseeritakse nad ainult vahetult verbi ees. Аннотация. Крис Лассе Дэбриц: Позиция фокуса в языках с вариативным порядком слов SOV ~ SVO – данные энецкого, нганасанского и долганского языков. Как известно, базовый порядок слов в языке определяет синтаксическую позицию фокусных аргументов. В языках SVO фокусные составляющие ставятся в конце предложения, в языках SOV – непосредственно перед глаголом. В данной статье рассматриваются базовый порядок слов и позиция фокуса в энецком, нганасанском и долганском языках и показывается, что в нганасанском и долганском языках порядок слов намного более свободен и, соответственно, фокусные аргументы могут располагаться как перед глаголом, так и в конце предложения; а в энецком языке позиция фокуса – почти всегда непосредственно перед глаголом.

Strain-induced creation and switching of anion vacancy layers in perovskite oxynitrides

Perovskite oxides can host various anion-vacancy orders, which greatly change their properties, but the order pattern is still difficult to manipulate. Separately, lattice strain between thin film oxides and a substrate induces improved functions and novel states of matter, while little attention has been paid to changes in chemical composition. Here we combine these two aspects to achieve strain-induced creation and switching of anion-vacancy patterns in perovskite films. Epitaxial SrVO3 films are topochemically converted to anion-deficient oxynitrides by ammonia treatment, where the direction or periodicity of defect planes is altered depending on the substrate employed, unlike the known change in crystal orientation. First-principles calculations verified its biaxial strain effect. Like oxide heterostructures, the oxynitride has a superlattice of insulating and metallic blocks. Given the abundance of perovskite families, this study provides new opportunities to design superlattices by chemically modifying simple perovskite oxides with tunable anion-vacancy patterns through epitaxial lattice strain.

Human Intelligence and General Collective Intelligence as Phase Changes in Animal Intelligence

The hypothesis that human intelligence represents a phase transition in animal intelligence is explored, as is the hypothesis that General Collective Intelligence (GCI), which has been defined as a system that organizes groups into a single collective cognition with the potential for vastly greater general problem-solving ability than that of any individual in the group, represents a phase transition in human intelligence. At these phase transitions, cognition can be demonstrated to gain the capacity for exponentially greater general problem-solving ability. If valid, then when generalized as an Nth order pattern, these N phase transitions represent successively more powerful super-intelligences, where each of these super-intelligences can potentially be implemented as an Artificial General Intelligence (AGI), or as a General Collective Intelligence (GCI).

Higher-order pattern generalization modulo equational theories

We consider anti-unification for simply typed lambda terms in theories defined by associativity, commutativity, identity (unit element) axioms and their combinations and develop a sound and complete algorithm which takes two lambda terms and computes their equational generalizations in the form of higher-order patterns. The problem is finitary: the minimal complete set of such generalizations contains finitely many elements. We define the notion of optimal solution and investigate special restrictions of the problem for which the optimal solution can be computed in linear or polynomial time.