256,334 research outputs found

    Linguistics and LIS: A Research Agenda

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    Linguistics and Library and Information Science (LIS) are both interdisciplinary fields that draws from areas such as languages, psychology, sociology, cognitive science, computer science, anthropology, education, and management. The theories and methods of linguistic research can have significant explanatory power for LIS. This article presents a research agenda for LIS that proposes the use of linguistic analysis methods, including discourse analysis, typology, and genre theory

    A Comparison of Feature-Based and Neural Scansion of Poetry

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    Automatic analysis of poetic rhythm is a challenging task that involves linguistics, literature, and computer science. When the language to be analyzed is known, rule-based systems or data-driven methods can be used. In this paper, we analyze poetic rhythm in English and Spanish. We show that the representations of data learned from character-based neural models are more informative than the ones from hand-crafted features, and that a Bi-LSTM+CRF-model produces state-of-the art accuracy on scansion of poetry in two languages. Results also show that the information about whole word structure, and not just independent syllables, is highly informative for performing scansion.Comment: RANLP 201

    Linguistic and synergetic aspects of American pharmaceutical trade names

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    Modern linguistics is characterized by the application of synergetics as an interdisciplinary science. This allows investigating processes and phenomena in complex open nonlinear systems which are capable of selforganization and of information interchange

    Makaanatu Ilmi Al-Lughah At-Tathbiiqiy Fii Ta’liimi Al-Lughah Al-Arabiyyah Li An-Naathiqiina Bi Ghoiriha

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    This research aims to; know the concrete form of applied linguistics and learning Arabic; understand the emergence of applied linguistics and its sources in learning Arabic; describes the position of applied linguistics in learning Arabic for non-Arabs. The method in this study uses an approach that uses reference literature with initial information used from books, magazines and related sources. The data collection used is the documentation method by presenting the data and concluding it. The research results show that; Applied linguistics is part of linguistics or linguistics which discusses the application of various scientific studies in the field of linguistics and learning Arabic is a learning process that involves teachers and students in achieving world learning goals, namely Arabic; The emergence of applied linguistics emerged as a field of science around 1946 and sources of applied linguistics are divided into linguistics, psychology, sociology, and pedagogy; position of applied linguistics in language learning for non-Arabic speakers, which includes 3 main principles, namely educational principles, psychological principles and linguistic principles

    A unified framework for building ontological theories with application and testing in the field of clinical trials

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    The objective of this research programme is to contribute to the establishment of the emerging science of Formal Ontology in Information Systems via a collaborative project involving researchers from a range of disciplines including philosophy, logic, computer science, linguistics, and the medical sciences. The re­searchers will work together on the construction of a unified formal ontology, which means: a general framework for the construction of ontological theories in specific domains. The framework will be constructed using the axiomatic-deductive method of modern formal ontology. It will be tested via a series of applications relating to on-going work in Leipzig on medical taxonomies and data dictionaries in the context of clinical trials. This will lead to the production of a domain-specific ontology which is designed to serve as a basis for applications in the medical field

    From History to Modern Tendencies in the Sphere of Ethnolinguistics and Topical Issues in This Area

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    As a linguistics field, ethnolinguistics is a science with great potential for development and research, in addition to having different names, tasks, goals and many controversial issues. This field of linguistics needs to be sufficiently studied and requires a more thorough investigation. From this point of view, the mentioned topic is crucial for modern linguistics. The object of ethnolinguistic research is language as a carrier of ethnocultural information, the relationship between language and folk mentality, and the role of language in the ethnic picture of the world. This article aims to shed light on the initial perception of the science and modern investigations in this field and draw attention to the topicality of the issue. For this purpose, throughout the research, the scientific literature related to the topic is analysed, and the development trends of Azerbaijani ethnolinguistics and its current state are reviewed and evaluated. The empirical analysis method was used during the research. From a practical point of view, the study can serve as a rich scientific resource for researchers conducting research in ethnolinguistics. As a result, it is noted that in the field of ethnolinguistics, which is developing as a particular field in Azerbaijani linguistics, new studies and research are conducted that resonate with the requirements of the modern stage of science, and they will contribute to world linguistics in this direction in the future

    Introduction: Modeling, Learning and Processing of Text-Technological Data Structures

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    Researchers in many disciplines, sometimes working in close cooperation, have been concerned with modeling textual data in order to account for texts as the prime information unit of written communication. The list of disciplines includes computer science and linguistics as well as more specialized disciplines like computational linguistics and text technology. What many of these efforts have in common is the aim to model textual data by means of abstract data types or data structures that support at least the semi-automatic processing of texts in any area of written communication
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