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THL2 - 2013/1–2. szám
TARTALOM SZÓ ÉS SZÓTÁR H. Varga Márta: Barátkozzunk a magyar nyelv hamis barátaival (is)! - Javaslat egy szótár összeállítására 5 Joachim László: a magyar tanulói szótárak címszókiválasztásának főbb kérdései - (és néhány szempont a magyar alapszókincs meghatározásához) 15 Durst Péter – Szabó Martina Katalin – Vincze Veronika – Zsibrita János: A „HUNLEARNER” magyar tanulói korpusz fejlesztése és várható hozadékai 28 Nádor Orsolya: „Magyar” a magyar és nem-magyar mentális lexikonban - Egy szóasszociációs vizsgálat tapasztalatai 42 Fóris Ágota: Lexikológia, lexikográfia a magyar mint idegen nyelv tanárképzésben 55 A SZÓKINC...
Language Use and Linguistic Structure. Proceedings of the Olomouc Linguistic Colloquium 2023
The latest volume of OLINCO proceedings is a selected set of sixteen papers that grew from presentations at OLINCO 2023 - the international Olomouc Linguistics Colloquium held at Palacký University in June 2021. The papers collected here are unified by the topic of the colloquium: Language Use and Linguistic Structure, in that they all, in one way or the other, address the central questions of the study of human language. They all use standard scientific methodology and theory and solidly researched empirical evidence in favor of formalized structural representations of the language system.
Mining Intelligence and Knowledge Exploration
This book constitutes the proceedings of the Second International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014, held in Cork, Ireland, in December 2014. The 40 papers presented were carefully reviewed and selected from 69 submissions. The papers cover topics such as information retrieval, feature selection, classification, clustering, image processing, network security, speech processing, machine learning, recommender systems, natural language processing, language, cognition and computation, and business intelligence.
The Oxford Handbook of Computational Linguistics
Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.
Multiword expressions at length and in depth
The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual reso...
Representation and parsing of multiword expressions: Current trends
This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches.
