دانلود کتاب Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities (Communications in Computer and Information Science)
کتاب رسمیسازی زبانهای طبیعی: کاربردها در پردازش زبان طبیعی و علوم انسانی دیجیتال (ارتباطات در علوم کامپیوتر و اطلاعات) نسخه زبان اصلی
دانلود کتاب رسمیسازی زبانهای طبیعی: کاربردها در پردازش زبان طبیعی و علوم انسانی دیجیتال (ارتباطات در علوم کامپیوتر و اطلاعات) بعد از پرداخت مقدور خواهد بود
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توضیحاتی در مورد کتاب Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities (Communications in Computer and Information Science)
نام کتاب : Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities (Communications in Computer and Information Science)
عنوان ترجمه شده به فارسی : رسمیسازی زبانهای طبیعی: کاربردها در پردازش زبان طبیعی و علوم انسانی دیجیتال (ارتباطات در علوم کامپیوتر و اطلاعات)
سری :
نویسندگان : Mariana González (editor), Silvia Susana Reyes (editor), Andrea Rodrigo (editor), Max Silberztein (editor)
ناشر : Springer
سال نشر : 2023
تعداد صفحات : 226
ISBN (شابک) : 3031233166 , 9783031233166
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 41 مگابایت
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فهرست مطالب :
Preface
Organization
Contents
List of Contributors
Morphological and Lexical Resources
The Architecture of SANTI-Morf’s Guesser Module
1 To Guess or Not to Guess
2 A Brief Look at SANTI-Morph’s Architecture
3 The Guesser
3.1 Morphological Cues
3.2 Capitalization
3.3 Final Guess
3.4 Ambiguity Problem
3.5 Solution
3.6 Architecture
4 The New +UNAMB Operator: A Proposal for Simplification
5 Conclusion
References
Formation and Evolution of Intensive Adverbs Ending in -mente Derived from the Adjectival Class
1 Introduction
2 Intensive Adjectives Derived from the Class
2.1 Terriblemente/Terriblement
2.2 Horriblemente/Horriblement
2.3 Espantosamente/Épouvantablement
2.4 Other Adverbs
3 Conclusion
References
Formalizing the Ancient Greek Participle Inflection with NooJ
1 Introduction
1.1 The Ancient Greek Participle
1.2 The Modern Greek Module
1.3 The Text Corpus and the Participle Corpus
2 Morphological Processing of the Ancient Greek Participle
2.1 Extraction of Participles
2.2 Selection of Participles
2.3 Lemmas Classification Criteria: Accented Vowels Before Verb Endings
2.4 Creation of Dictionaries and Grammars
2.5 Linguistic Analysis and TAS
3 Conclusions, Challenges and Perspectives
References
Automatic Analysis of Appreciative Morphology: The Case of Paronomasia in Colombian Spanish
1 Introduction
2 Theoretical Framework: The Phenomenon of Paronomasia, Generative Lexicon Theory and Constraint Grammar
2.1 Paronomasia: Description of the Phenomenon
2.2 The Generative Lexicon Theory
2.3 Constraint Grammars
3 Methodology
3.1 Selection of Colombian Spanish Names
3.2 Computer Work
4 Results Obtained
5 Conclusions
References
Prosodic Segmentation of Belarusian Texts in NooJ
1 Introduction
2 Relevance of the Study: Lack of Automatic Prosodic Segmentation in TTS
3 Text Sources: Corpus of Literary and Medical Texts
4 Extraction of Syntagms
5 Syntactic Grammar for Extracting Syntagms in NooJ
6 Conclusion
References
Syntactic and Semantic Resources
Zellig S. Harris’ Transfer Grammar and Its Application with NooJ
1 Introduction
2 On-Line Translation Portals and Tools
2.1 A Brief Outline of Google Translate Errors
3 Zellig S. Harris’ Transfer Grammar
4 NooJ and Harris’ Transfer Grammar
5 Conclusions and Future Work
References
Formalization of Transformations of Complex Sentences in Quechua
1 Introduction
2 Gerund Subordination Classes
2.1 Concordance Grammars
3 Basic Transformations (BT)
3.1 Permutation [PERM]
3.2 Interrogation [INT]
3.3 Past2 [PASSG]
3.4 Past1 [PASSG1]
3.5 Future [F]
3.6 Progressive [Prog2]
4 Paraphrasing Subordinate Clauses
5 Transformation and Machine Translation
6 Conclusion
References
Automatic Extraction of Verbal Phrasemes in the Electrical Energy Field with NooJ
1 Introduction
2 Phraseology Criteria
2.1 Frequency
2.2 Fixation
2.3 Pragmatic Criterion
3 Language Description Software: NOOJ’S Approach
3.1 Rational Grammar
3.2 Algebraic Grammar
3.3 Contextual Grammar
4 Modeling and Implementation in NooJ
5 Results
6 Conclusion
References
A Linguistic Approach for Automatic Analysis, Recognition and Translation of Arabic Nominal Predicates
Abstract
1 Introduction
2 Nominal Predicates, Support Verbs and Translation
3 Linguistic Characteristics of the Nominative Predicate: Advice
3.1 The General Support Verbs: أفعال ناقلة عامّة
3.2 The Aspectual Support Verbs: أفعال ناقلة مظهريّة
3.3 Determiners of Predicate “Advice”
3.4 The Verbal Predicate “نَصَحَ” “Conseiller” “ to Advise”
4 Creation of a Bilingual French-Arabic Dictionary
5 The Creation of Grammars for the Analysis and Recognition of Syntactic Patterns
6 The Creation of Translation Grammars
7 Conclusion and Perspectives
References
Corpus Linguistics and Discourse Analysis
Processing the Discourse of Insecurity in Rosario with the NooJ Platform
1 Introduction
1.1 The Aim of Our Paper
1.2 Why Do We Use NooJ?
1.3 The Corpus
2 General Considerations
2.1 New Tags
2.2 Grammars for the Discourse of Insecurity
3 Conclusions
References
Analyzing Political Discourse: Finding the Frames for Guilt and Responsibility
1 Introduction
2 Previous Work
3 About the Language and the Corpus
3.1 Croatian Language Specifics
3.2 Croatian Parliament Corpus
4 Design of the Language Models
4.1 Language Model for ‘Responsibility’
4.2 Language Model for ‘Guilt’
5 Discussion of Results
6 Conclusion
References
Creation of Parallel Medical and Social Domains Corpora for the Machine Translation and Speech Synthesis Systems
Abstract
1 First Section Introduction
2 Compilation of a Medical and Social Domain Corpus
3 Creating Medical and Social Trilingual Dictionaries in NooJ
4 NooJ for Proofreading and Translating
4.1 Common Names in the Corpora
4.2 Personal Names in the Corpora
5 Conclusion
References
Creation of a Legal Domain Corpus for the Belarusian Module in NooJ: Texts, Dictionaries, Grammars
Abstract
1 Introduction
2 Compilation of a Legal Domain Corpus
3 Creating Medical and Social Trilingual Dictionaries in NooJ
4 Syntactic Grammars for Searching Legal Terminology and Punctuational Syntagmas
5 Conclusion
References
Natural Language Processing Applications
Construction of an Educational Game “CONJNOOJ”
1 Introduction
2 Proposed Method
2.1 Identification of Resources
2.2 Building of Resources
2.3 Game Steps
3 CONJNooJ Experimentation
3.1 Conjugation of Verbs
3.2 Inflection of Adjectives and Nouns
4 Conclusion and Perspectives
References
Annotation of Procedural Questions in Standard Arabic Using Syntactic Grammars
Abstract
1 Introduction
2 Related Works
3 The Generic Architecture of the Proposed QA System
4 Our Approach
4.1 Question Analysis
4.2 Segmentation and Passage Retrieval
5 Experiments and Results
5.1 Named Entity Recognition (NER)
5.2 Recognition and Analysis of Procedural Questions
6 Conclusion
References
Integrated NooJ Environment for Arabic Linguistic Disambiguation Improvement Using MWEs
Abstract
1 Introduction
2 State of Art
2.1 Arabic Specificities
2.2 Sources of Syntactic Ambiguity in Arabic
2.2.1 Vocalization Ambiguity
2.2.2 Word Order Ambiguity
2.2.3 Multifunctionality of Arabic Nouns
2.3 Arabic Disambiguation Task
3 Approach
3.1 Disambiguation Approach
3.2 Disambiguation Grammars
4 Experimentations and Results
5 Conclusion
Appendix
References
The Digital Text Workshop Cloud, New Solutions for Super Calculation Environments
1 Introduction
2 Comparing Models: Language Environments and Lexicon-Grammar as an Elementary Calculation LGLI
3 The Lexicon-Grammatical and Automatic Text Analysis
4 Digital Intelligence W.Tool in NooJ Environment
5 Conclusion and Research Results
References
Correction to: Creation of a Legal Domain Corpus for the Belarusian Module in NooJ: Texts, Dictionaries, Grammars
Correction to: Chapter “Creation of a Legal Domain Corpus for the Belarusian Module in NooJ: Texts, Dictionaries, Grammars” in: M. González et al. (Eds.): Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities, CCIS 1758, https://doi.org/10.1007/978-3-031-23317-3_13
Author Index