Deminutywność, symilatywność i tautologia słowotwórcza w języku doby średniopolskiej (na materiale ze słownika M.A. Troca)

W tekście podejmowana jest problematyka ograniczeń procesu kategoryzacji klas derywatów deminutywnych oraz symilatywnych w dobie średniopolskiej. Celem opracowania było wskazanie potencjalnych przyczyn blokowania procesów kategoryzacyjnych klas historycznych deminutywów oraz symilatywów. W zakresie metodologii i ustaleń terminologicznych wykorzystano osiągnięcia tzw. „katowickiej szkoły słowotwórstwa historycznego”. Głównym źródłem materiału leksykalnego stał się trójjęzyczny dykcjonarz M.A. Troca z 1764 roku (jego III tom, z polszczyzną jako językiem wyjściowym). Świadomość lingwistyczna autora tego słownika, przejawiająca się w sposobie organizacji wyrażeń hasłowych oraz doboru ekwiwalentów wraz z definicjami, rzuciła nowe światło na sposób identyfikowania kategorii deminutywów, symilatywów, a także formacji tautologicznych przez dawnych użytkowników języka. Okazało się, że w drugiej połowie XVIII wieku żadna z tych klas nie wykrystalizowała swoich dominant, zaś czynnikiem, który mógł podtrzymywać ten stan, była obecność w języku znacznej liczby derywatów tautologicznych względem podstawy, budowanych z udziałem wielofunkcyjnych formantów z podstawowymi sufiksalnymi spółgłoskami -k- i -c-. Diminutivity, similativity and word-formation tautology in Middle Polish (illustrated with data from M.A. Troc’s Dictionary) Summary: The text deals with the limitations of the categorization process of the classes of diminutive and similative derivatives in Middle Polish. The aim of the study was to identify the potential reasons for the blocking of the categorization processes of the historical classes of diminutives and similatives. The methodology and terminology used in the paper follows the achievements of the so-called “Katowice school of historical word-formation”. The 1764 trilingual dictionary by M.A. Troc (Volume 3, with Polish as the input language) was the main source of lexical material. Based on the analysis of the presented material, one can conclude that the linguistic awareness of the lexicographer, manifested through the organization of dictionary entries and the choice of foreign equivalents and their definitions, may shed a new light on the categorical system of historical derivatives. In lack of sufficient Polish-language contexts, the translational character of lexicographic sources lets us gain information about the semantic and stylistic value of Polish lexical units on the basis of their foreign equivalents or their foreign-language definitions provided by dictionaries. The category of diminutive names in the second half of the 18th century did not yet crystallize its dominants, and the class of similative names had a similar formal and semantic status. Both classes constituted products of sets that contained derivative units, assuming a diminishing or similative function. The factor that inhibited the process of the crystallization of the dominants in the mentioned classes was the extremely high level of word-formation tautology, which did not allow language users to identify the real functions of multifunctional formants with the basic consonants -k- and -c-.

LANGUAGE DEVELOPMENT AT EARLY CHILDHOOD: AN OVERVIEW IN THE CONTEXT OF PSYCHOLINGUISTICS

Language acquisition is the process during which humans acquire the capacity to see, create and utilize words to get it and communicate. It includes the picking up of differing capacities involving language structure, phonetics, and a broad lexicon. Language development is thought to proceed by ordinary processes of learning in which children acquire the forms, meanings, and uses of words and utterances from the linguistic input. Language ability is an indispensable place among human intellectual abilities and language is considered to be the most important component of the human mind language development starts from the first cry until a child is able to speak a word. It includes the picking up of differing capacities involving language structure, phonetics, and a broad lexicon. Talking is like an action and it is shaped by motives of many kinds. As an interdisciplinary field, psycholinguistics in the world revealed at the intersection of psychology and linguistics in the 1950s. It is seen that studies on language development have increased in recent years. This study is describe how language developed at the early childhood.

as Input Language for Answer Set Solvers

Technological progress in Answer Set Programming (ASP) has been stimulated by the use of common standards, such as the ASP-Core-2 language. While ASP has its roots in nonmonotonic reasoning, efforts have also been made to reconcile ASP with classical first-order (FO) logic. This has resulted in the development of FO(·), an expressive extension of FO, which allows ASP-like problem solving in a purely classical setting. This language may be more accessible to domain experts already familiar with FO and may be easier to combine with other formalisms that are based on classical logic. It is supported by the IDP inference system, which has successfully competed in a number of ASP competitions. Here, however, technological progress has been hampered by the limited number of systems that are available for FO(·). In this paper, we aim to address this gap by means of a translation tool that transforms an FO(·) specification into ASP-Core-2, thereby allowing ASP-Core-2 solvers to be used as solvers for FO(·) as well. We present experimental results to show that the resulting combination of our translation with an off-the-shelf ASP solver is competitive with the IDP system as a way of solving problems formulated in FO(·).

I-DLV-sr: A Stream Reasoning System based on I-DLV

We introduce a novel logic-based system for reasoning over data streams, which relies on a framework enabling a tight, fine-tuned interaction between Apache Flink and the $${{\mathcal I}^2}$$ -DLV system. The architecture allows to take advantage from both the powerful distributed stream processing capabilities of Flink and the incremental reasoning capabilities of $${{\mathcal I}^2}$$ -DLV, based on overgrounding techniques. Besides the system architecture, we illustrate the supported input language and its modeling capabilities, and discuss the results of an experimental activity aimed at assessing the viability of the approach.

Verifiable Model Construction for Business Processes

Business process specified in Business Process Execution Language (BPEL), which integrates existing services to develop composite service for offering more complicated function, is error-prone. Verification and testing are necessary to ensure the correctness of business processes. SPIN, for which the input language is PROcess MEta-LAnguage (Promela), is one of the most popular tools for detecting software defects and can be used both in verification and testing. In this paper, an automatic approach is proposed to construct the verifiable model for BPEL-based business process with Promela language. Business process is translated to an intermediate two-level representation, in which eXtended Control Flow Graph (XCFG) describes the behavior of BPEL process in the first level and Web Service Description Models (WSDM) depict the interface information of composite service and partner services in the second level. With XCFG of BPEL process, XCFGs for partner services are generated to describe their behavior. Promela model is constructed by defining data types based on WSDM and defining channels, variables and processes based on XCFGs. The constructed Promela model is closed, containing not only the BPEL process but also its execution environment. Case study shows that the proposed approach is effective.

Automatic Generation of German Translation Candidates for SNOMED CT Textual Descriptions

We present an approach called MTP (multiple translation paths) aiming at assisting human translation in SNOMED CT localisation projects based on free, web-based machine translation tools. For a chosen target language, MTP generates a scored output of translation candidates (TCs) for each input concept. This paper describes the basic idea of MTP, the distribution of its output TCs and discusses typical examples with German as target language. The MTP approach capitalises on combinatorial growth by the combination of input languages, support languages, and translation engines. We applied MTP on the SNOMED CT Starter Set, using Google Translator, DeepL and Systran, together with the four source languages English, Spanish, Swedish and French, and Danish, Dutch, Norwegian, Italian, Portuguese, Polish and Russian as support languages. The descriptive assessment of TC variety, together with an analysis of typical results is the focus of this paper. MTP defines, for each input concept, TPs by the combination of input languages, support languages and translation engines, resulting in 91 translation results with various degrees of co-incidence (cardinality). The most configurations produce an average number of TCs indicating that the same TC is often derived via different translation paths. Combinations of translation engines result in distributions with a higher number of distinct TCs per concept. We present work in progress on using machine translation (MT) for terminology translation, by leveraging several free MT tools fed by different languages and language combinations. A first qualitative analysis was promising and supports our hypothesis that a majority voting applied to many translation candidates yields higher quality results than from one single engine and input language.

Using Verb Extension to Gauge Children’s Verb Meaning Construals: The Case of Chinese

Verb extension is a crucial gauge of the acquisition of verb meaning. In English, studies suggest that young children show conservative extension. An important test of whether an early conservative extension is a general phenomenon or a function of the input language is made possible by Chinese, a language in which verbs are more frequent and acquired earlier. This study tested whether 3-year-old Chinese children extended a group of familiar verbs that specify various ways to carry objects. Shown videos that portrayed typical, mid-typical, or atypical carrying actions (as verified by Chinese adults), children were asked to judge whether they were examples of specific Chinese carry verbs. Children’s verb extensions were mostly limited to typical exemplars, suggesting that an early conservative extension may be universal. Furthermore, extension breadth was related to the onset of verb production: verbs acquired earlier elicited more extension judgments than those acquired later.

The PANDA Framework for Hierarchical Planning

During the last years, much progress has been made in hierarchical planning towards domain-independent systems that come with sophisticated techniques to solve planning problems instead of relying on advice in the input model. Several of these novel methods have been integrated into the PANDA framework, which is a software system to reason about hierarchical planning tasks. Besides solvers for planning problems based on plan space search, progression search, and translation to propositional logic, it also includes techniques for related problems like plan repair, plan and goal recognition, or plan verification. These various techniques share a common infrastructure, like e.g. a standard input language or components for grounding and reachability analysis. This article gives an overview over the PANDA framework, introduces the basic techniques from a high level perspective, and surveys the literature describing the diverse components in detail.