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2022 год - год 100-летнего юбилея Раймонда Генриховича Пиотровского. Этому событию посвящаются IV международные Пиотровские чтения
The proceedings PR_LEAL-2017 are now online at
The proceedings PR_LEAL-2017 are now online at
for reference:
Vol-2233
R. Piotrowski's Readings in Language Engineering and Applied Linguistics 2017.
Proceedings of the R. Piotrowski's Readings in Language Engineering and Applied Linguistics (PR_LEAL 2017), Saint Petersburg, Russia, November 27, 2017.
Edited by: Andrey Ronzhin, Tatiana Noskova, Alexey Karpov
Submitted by: Andrey Ronzhin, Xenia Piotrowska, Larisa Beliaeva, Olga Kamshilova
Published on CEUR-WS: 19-Oct-2018
ONLINE: http://ceur-ws.org/Vol-2233/
ARCHIVE: ftp://SunSITE.Informatik.RWTH-Aachen.DE/pub/publications/CEUR-WS/Vol-2233.zip
CONTENTS
CONTENTS
(for full texts see the ZIP-file below)
(for full texts see the ZIP-file below)
Historical, Epistemological and Methodological Issues of Language Engineering and
Historical, Epistemological and Methodological Issues of Language Engineering and
Applied Linguistics
Applied Linguistics
Sergey Chebanov
Чем является “Экспериментально-доказательная парадигма” в современном языкознании? / What is an Experimental Evidence-Вased Paradigm in Modern Linguistics? 10-23
Alexandr Zubov, Tatiana Noskova
Р.Г. Пиотровский – основатель компьютерной лингвистики в Беларуси / R.G. Piotrowski – the Founder of Computer Linguistics in Belarus 24-28
Yurij Gorbunov, Sergey Andreev
Метаязык французской лингвистики в свете теории лингвистической синергетики Р.Г. Пиотровского / French Linguistics Metalanguage in the Light of R.G. Piotrowski’s Theory of Linguistic Synergetics 29-36
Mikhail Marusenko, Olga Yakovleva
Р.Г. Пиотровский и доказательная лингвистика - Rollback / Raymond Piotrowski and Evidence-Based Linguistics - Rollback 37-47
Larisa Beliaeva, Sergey Bogdanov, Tatiana Gornostay
Инженерная лингвистика в контексте современной “Информации 4.0” / Language Engeneering in the Framework of Modern “INFORMATION 4/0” 48-56
Vladimir Pashkovsky, Tatiana Pavlova
Бред как семиотический объект / Delusion as a Semiotic Object 57-63
Statistical and Machine Learning Methods for Text Analysis and Recognition
Statistical and Machine Learning Methods for Text Analysis and Recognition
Irina Kipyatkova, Alexey Karpov
Языковое моделирование для систем распознавания слитной русской речи / Language Modeling for Continuous Russian Speech Recognition Systems 64-74
Anna Kupriianova, Ivan Shilin, Gerhard Wohlgenannt, Liubov Kovriguina
The Implementation of the Mention-Ranking Approach to Coreference Resolution in Russian 75-85
Aleksandr Romanov, Maria Vasilieva, Anna Kurtukova, Roman Meshcheryakov
Анализ тональности текстов с использованием методов машинного обучения / Sentiment Analysis of Text Using Machine Learning Techniques 86-95
Ivan Shilin, Liubov Kovriguina, Dmitry Mouromtsev, Gerhard Wohlgenannt, Roman Ivanitskiy
A Method for Dataset Creation for Dialogue State Classification in Voice Control Systems for the Internet of Things 96-106
Nikita Mamajev, Mikhail Marusenko, Xenia Piotrowska, Andrey Ronzhin
Метод Дельты Берроуза при атрибуции авторства анонимных литературных произведений на русском языке / Burrows's Delta in Athorship Attribution of Russian Literary Texts 107-119
Alina Putintseva, Liubov Kovriguina, Ivan Shilin
Автоматическая классификация эллиптических конструкций в русской спонтанной речи / Automatic Classification of Elliptical Constructions in Russian Spontaneous Speech 120-138
Computer Assisted Language Learning and Modern Educational Environment
Computer Assisted Language Learning and Modern Educational Environment
Aleksey Romanov, Dmitry Volchek, Artem Chirkin, Dmitry Mouromtsev, Arina Sender
Implementing a Natural Language Processing Approach for an Online Exercise in Urban Design 139-154
Ludmila Larchenkova, Ivan Larchenkov, Vladimir Laptev
Комплекс программ TechnoLingvistica при обучении иноязычной лексике / TechnoLinguistica - Program Complex Support for Teaching English Vocabulary 155-165
Voldemar Nymm, Xenia Piotrowska, Sven Nõmm
Применение стохастической теории обучения и корпусных технологий в компьютерной лингводидактике / Using Stochastic Learning Theory and Corpus Tools in CALL 166-176
Olga Kamshilova, Viktor Zakharov
Корпусное исследование прилагательных в иноязычной речи на разных этапах усвоения чужого языка / Corpus-driven Research of Adjectives in Learner Language Acquisition 177-190
PR_LEAL_2017.zipThe papers are also available at
The papers are also available at
https://drive.google.com/file/d/12PSDkpClqxvpb4rSqYyreL676sEJocZC/view?usp=sharing
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