Kooperativer Bibliotheksverbund

UID:

Format: 1 online resource (XXX, 360 p. 84 illus., 81 illus. in color.)

Edition: 1st ed. 2023.

ISBN: 3-031-17258-2

Series Statement: Cognitive Technologies,

Content: This open access book provides an in-depth description of the EU project European Language Grid (ELG). Its motivation lies in the fact that Europe is a multilingual society with 24 official European Union Member State languages and dozens of additional languages including regional and minority languages. The only meaningful way to enable multilingualism and to benefit from this rich linguistic heritage is through Language Technologies (LT) including Natural Language Processing (NLP), Natural Language Understanding (NLU), Speech Technologies and language-centric Artificial Intelligence (AI) applications. The European Language Grid provides a single umbrella platform for the European LT community, including research and industry, effectively functioning as a virtual home, marketplace, showroom, and deployment centre for all services, tools, resources, products and organisations active in the field. Today the ELG cloud platform already offers access to more than 13,000 language processing tools and language resources. It enables all stakeholders to deposit, upload and deploy their technologies and datasets. The platform also supports the long-term objective of establishing digital language equality in Europe by 2030 – to create a situation in which all European languages enjoy equal technological support. This is the very first book dedicated to Language Technology and NLP platforms. Cloud technology has only recently matured enough to make the development of a platform like ELG feasible on a larger scale. The book comprehensively describes the results of the ELG project. Following an introduction, the content is divided into four main parts: (I) ELG Cloud Platform; (II) ELG Inventory of Technologies and Resources; (III) ELG Community and Initiative; and (IV) ELG Open Calls and Pilot Projects.

Note: Preface -- 1. European Language Grid: Introduction -- 2. The European Language Grid Platform: Basic Concepts -- 3. Using the European Language Grid as a Consumer -- 4. Contributing to the European Language Grid as a Provider -- 5. Technical Cloud Infrastructure -- 6. Interoperable Metadata Bridges to the wider Language Technology Ecosystem -- 7. Language Technology Tools and Services -- 8. Datasets, Corpora and other Language Resources -- 9. Language Technology Companies, Research Organisations and Projects -- 10. European Language Technology Landscape: Communication and Collaborations -- 11. ELG National Competence Centres and Events -- 12. Innovation and Marketplace: A Vision for the European Language Grid -- 13. Sustaining the European Language Grid: Towards the ELG Legal Entity -- 14. Open Calls and Pilot Projects -- 15. Basque-speaking Smart Speaker based on Mycroft AI -- 16. CEFR Labelling and Assessment Services -- 17. European Clinical Case Corpus -- 18. Extracting Terminological Concept Systems from Natural Language Text -- 19. Italian EVALITA Benchmark Linguistic Resources, NLP Services and Tools -- 20. Lingsoft Solutions as Distributable Containers -- 21. Motion Captures 3D Sign Language Resources -- 22. Multilingual Image Corpus -- 23. Multilingual Knowledge Systems as Linguistic Linked Open Data -- 24.Open Translation Models, Tools and Services -- 25. Sign Language Explanations for Terms in a Text -- 26. Streaming Language Processing in Manufacturing -- 27. Textual Paraphrase Dataset for Deep Language Modelling -- 28. Universal Semantic Annotator -- 29. Virtual Personal Assistant Prototype YouTwinDi. , English

Additional Edition: ISBN 3-031-17257-4

Language: English

DOI: 10.1007/978-3-031-17258-8

UID:

Format: 1 online resource (221 pages)

Edition: 1st ed. 2024.

ISBN: 981-9719-87-9

Series Statement: Studies in Computational Intelligence, 1148

Content: This book emphasises the need for language resource development and its impact on society. It covers latest AI based tools and techniques used to preserve indigenous and endangered languages. The book also highlights latest AI based technologies such as Generative Pre-trained Transformer (GPT) towards endangered language preservation. It discusses morphology analysis, translation support and shallow parsing of various tribal languages of India and abroad. This book tries to answer how digital technologies can make language revitalization accessible to future generations.

Note: Intro -- Preface -- Contents -- About the Editors -- Language Revitalization & -- Artificial Intelligence -- Kuvi Character Set: A Mobile Interface for the Revitalization of the Kuvi Language -- 1 Introduction: The Imperative Need for Developing a Kuvi Character Set for an Unwritten Endangered Language -- 1.1 About the Speaker -- 1.2 Historical Background of Kuvi Language -- 2 KISS Model of Character Set Development -- 2.1 Participants -- 2.2 Phases -- 2.3 Process -- 2.4 Principles -- 3 Summary -- References -- Reviving Endangered Languages: Exploring AI Technologies for the Preservation of Tanzania's Hehe Language -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 4 Conclusion and Future Prospect -- References -- Preservation of Vedda's Language in Sri Lanka -- 1 Introduction -- 1.1 About the Language -- 1.2 Challenges and Opportunities -- 2 Literature Survey -- 3 Propose Model -- 4 Preserve and Promote the Vedda Language -- 5 Conclusion and Future Work -- References -- Role of Digital Technology in the Education, Promotion, and Revitalization of "Ho" Languages -- 1 Introduction -- 2 Methodology -- 3 Role of Digital Technology -- 3.1 Indigenous Communities and Technology -- 4 Proposed Digital Technology for Ho Language -- 4.1 Different Factors for Promotion of Ho Language -- 5 Revitalization of Ho Language -- 5.1 Technology in Endangered Language Contexts -- 6 Ho Language Education -- 6.1 Documentation, Preservation, and Revitalization -- 6.2 Language Pedagogy -- 7 Conclusion -- References -- Changing the Trajectory: Preserving the Linguistic Diversity of Shi Language Using AI and NLP -- 1 Introduction -- 2 The Shi Language: Overview and Challenges -- 2.1 Linguistic Characteristics of Shi Language -- 2.2 Language Endangerment Factors -- 2.3 Sociocultural Implications -- 3 AI and NLP in Language Revitalization. , 3.1 Role of AI in Language Preservation -- 3.2 NLP Applications for Endangered Languages -- 4 Future Prospects -- 4.1 Data Collection and Analysis -- 4.2 Community Engagement and Collaboration -- 5 AI-Based Solutions for Shi Language Revitalization -- 5.1 Automatic Speech Recognition (ASR) Systems -- 5.2 Machine Translation and Language Generation -- 5.3 Language Learning Applications -- 5.4 Digital Archives and Preservation -- 6 Ethical Considerations and Cultural Sensitivity -- 6.1 Informed Consent and Community Involvement -- 6.2 Preserving Cultural Nuances and Context -- 6.3 Balancing Technological Advancements with Traditional Knowledge -- 7 Case Studies of AI Implementation in Language Revitalization -- 7.1 Impact Assessment and Evaluation -- 8 Future Directions and Recommendations -- 8.1 Long-Term Sustainability Strategies -- 8.2 Collaboration with Indigenous Communities -- 8.3 Policy and Funding Support -- 9 Conclusion -- References -- Kuvi Calendar: Harnessing Indigenous Calendar for Language Revitalization -- 1 Introduction: Understanding the Cultural and Practical Significance of Kuvi Calendar -- 1.1 The Cultural and Practical Importance of Indigenous Calendar -- 2 Process of Making Kuvi Calendar -- 2.1 The Multi-Step Process for the Development of Kuvi (Physical) Calendar First Phase -- 2.2 The Second Phase-Development of Parallel Corpus for Kuvi (Digital) Calendar -- 3 Embodying Kuvi Cultural Heritage: The Physical Kuvi Calendar -- 3.1 Week Structure -- 3.2 Month Structure -- 3.3 Day Structure in Each Month -- 4 Conclusion -- References -- Natural Language Process (NLP) for Language Analysis -- Contemplating Dialects When Building a Guarani Corpus for NLP -- 1 Introduction -- 2 Minority Languages in South America -- 2.1 Brief Socio-historical Background of Guarani in Paraguay -- 2.2 Guarani Features. , 3 Challenges Faced While Building a Guarani-Spanish Corpus -- 3.1 Challenge 1: Lack of Data to Build a Corpus -- 3.2 Challenge 2: Guarani and Spanish Meet in Jopara -- 3.3 Challenge 3: The Unbearable Lightness of Guarani Orthography -- 4 Conclusion and Future Prospect -- References -- The Role of NLP to Facilitate the Growth of Ge'ez Language -- 1 Introduction -- 1.1 About the Ge'ez Language -- 1.2 Number of Speakers -- 2 Literature Review -- 2.1 The Role of NLP to Facilitate the Growth of Ge'ez Language -- 2.2 Applications of NLP -- 3 Conclusion -- 4 Future Work -- References -- Developing Multilingual Glossaries for STEM Terminology Using AI-NLP -- 1 Introduction -- 2 Building the Glossary -- 3 AI-Mediated NLP-Based Word Creation -- 4 Conclusion and Future Perspectives -- References -- Development of Parallel Speech Data Repository for Ho Language -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Model -- 3.1 Digital Resources -- 3.2 Data Scraping from Ho Wikipedia -- 3.3 Optical Character Recognition -- 3.4 Parallel Corpus -- 3.5 Manually Correction from Human Volunteers -- 3.6 Speech to Text -- 4 Conclusion -- References -- Challenges to Prepare the Parallel Corpus for Luganda Language -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Model -- 3.1 Optical Character Recognition -- 3.2 Speech to Text -- 3.3 Web Scraping -- 3.4 Newspapers -- 4 Conclusion and Future Work -- References -- Proposed Model for Automatic Dialect Classification of Binjhal Language -- 1 Introduction -- 2 Binjhal Language -- 2.1 Language Identification -- 3 Literature Reviews -- 4 Data Collection and Preparation -- 5 Proposed Model -- 5.1 Preprocessing -- 5.2 Types of Preprocessing -- 6 Experiment Result and Evaluation -- 7 Conclusion -- References -- Twi Speech Processing: Techniques and Applications -- 1 Introduction -- 2 Literature Review. , 2.1 Twi Language and Linguistic Characteristics -- 2.2 Challenges in Twi Speech Processing -- 2.3 Techniques in Twi Speech Processing -- 2.4 Applications of Twi Speech Processing -- 2.5 Future Directions in Twi Speech Processing -- 3 Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Feature Extraction -- 3.3 Speech Processing Applications -- 3.4 Dialectal Variations Analysis -- 3.5 Speaker Identification and Verification -- 3.6 Evaluation and Validation -- 3.7 Future Directions -- 4 Techniques and Working Principle -- 5 Conclusion and Future Directions -- References -- Cultural Survival Heritage of Bambara Language by Using NLP -- 1 Introduction -- 2 Literature Survey -- 3 Cultural Significance of Bambara Language in Malian Literature and Music -- 4 Socio-Cultural Factors Impacting the Preservation of Bambara -- 5 Language Revitalization Efforts in Mali -- 6 AI-Based Language Documentation Projects for Endangered Languages -- 7 Government Policies and International Cooperation for Language Preservation -- 8 NLP-Based Language Revitalization Projects in Other Regions -- 9 Proposed Model -- 10 Data Collection of Bambara Texts -- 11 Machine Learning (Clustering the Collected Bambara Texts) -- 12 Data Processing (Tokenization and Stemming) -- 13 Sentiment Analysis (Optional) -- 14 Model Evaluation -- 15 Feature Extraction -- 16 Result and Application -- 17 Conclusion -- References -- Dialect Identification of Gondar, Gojjami, and Showa Language of Amharic Using AI and NLP -- 1 Introduction -- 2 Literature Survey -- 2.1 Literature Survey -- 2.2 Tigrinya Dialect Identification -- 2.3 Assamese Dialects -- 2.4 Santali Dialect Identification -- 2.5 Kamrupi Dialect Identification -- 2.6 Maghrebian Dialect Recognition -- 2.7 Algerian Dialect Recognition -- 2.8 Tunisian Dialect Recognition -- 2.9 Goalparia Dialect Identification. , 2.10 Ao Dialect Identification -- 3 Proposed Method -- 3.1 Data Collection and Preprocessing -- 3.2 Data Collection and Preprocessing -- 4 Results and Discussions -- 4.1 Model Performance -- 4.2 Challenges and Limitations -- 4.3 Future Directions -- 5 Conclusion -- References -- Creating a Parallel Corpus for Machine Translation: A Case Study of Kru and Krio -- 1 Introduction -- 1.1 Krio -- 1.2 Kru -- 1.3 Syntax and Alphabet -- 2 Related Works -- 2.1 Works Done on Similar Languages -- 3 Proposed Model -- 3.1 Optical Character Recognition -- 3.2 Books -- 3.3 Existing Database -- 3.4 Web Scraping -- 3.5 Speech-To-Text -- 4 Conclusion -- 5 Future Works -- References -- Developing Parallel Corpus for the Machine Translation System in Dzongkha Language -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 4 Conclusion and Future Prospects -- References.

Additional Edition: ISBN 981-9719-86-0

Language: English

DOI: 10.1007/978-981-97-1987-7

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: X, 334 p. 96 illus. , online resource.

ISBN: 9783642339837

Series Statement: Lecture Notes in Computer Science, 7614

Content: This book constitutes the refereed proceedings of the 8th International Conference on Advances in Natural Language Processing, JapTAL 2012, Kanazawa, Japan, in October 2012. The 27 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections on machine translation, multilingual issues, resouces, semantic analysis, sentiment analysis, as well as speech and generation.

Note: The Impact of Crowdsourcing Post-editing with the Collaborative Translation Framework -- Translation of Quantifiers in Japanese-Chinese Machine Translation -- Toward Practical Use of Machine Translation -- Phrase-Level Pattern-Based Machine Translation Based on Analogical Mapping Method -- Parallel Texts Extraction from Multimodal Comparable Corpora -- A Reliable Communication System to Maximize the Communication Quality -- DAnIEL: Language Independent Character-Based News Surveillance -- OOV Term Translation, Context Information and Definition Extraction Based on OOV Term Type Prediction -- Exploiting a Web-Based Encyclopedia as a Knowledge Base for the Extraction of Multilingual Terminology -- Segmenting Long Sentence Pairs to Improve Word Alignment in English-Hindi Parallel Corpora -- Shallow Syntactic Preprocessing for Statistical Machine Translation -- Linguistic Rules Based Approach for Automatic Restoration of Accents on French Texts -- Word Clustering for Persian Statistical Parsing -- Building a Lexically and Semantically-Rich Resource for Paraphrase Processing -- Tagset Conversion with Decision Trees -- Fitting a Round Peg in a Square Hole: Japanese Resource Grammar in GF -- Arabic Language Analyzer with Lemma Extraction and Rich Tagset -- Tracking Researcher Mobility on the Web Using Snippet Semantic Analysis -- Semantic Role Labelling without Deep Syntactic Parsing -- Temporal Information Extraction with Cross-Language Projected Data -- Word Sense Disambiguation Based on Example Sentences in Dictionary and Automatically Acquired from Parallel Corpus -- A Study on Hierarchical Table of Indexes for Multi-documents -- Finding Good Initial Cluster Center by Using Maximum Average Distance -- Applying a Burst Model to Detect Bursty Topics in a Topic Model -- UDRST: A Novel System for Unlabeled Discourse Parsing in the RST Framework -- Long-Term Goal Discovery in the Twitter Posts through the Word-Pair LDA Model -- Finding Social Relationships by Extracting Polite Language in Micro-blog Exchanges -- Twitter Sentiment Analysis Based on Writing Style -- Extraction of User Opinions by Adjective-Context Co-clustering for Game Review Texts -- Automatic Phone Alignment: A Comparison between Speaker- Independent Models and Models Trained on the Corpus to Align -- A Story Generation System Based on Propp Theory: As a Mechanism in an Integrated Narrative Generation System -- Automatic Utterance Generation by Keeping Track of the Conversation’s Focus within the Utterance Window.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783642339820

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift ; Konferenzschrift ; Konferenzschrift

DOI: 10.1007/978-3-642-33983-7

URL: http://dx.doi.org/10.1007/978-3-642-33983-7

URL: Volltext

URL: Volltext  (lizenzpflichtig)

URL: Volltext  (lizenzpflichtig)

URL: Cover

URL: Inhaltstext

UID:

Format: VI, 121 S.

Series Statement: Studies in machine translation and natural language processing 5

Note: Zugl.: Saarbrücken, Univ., Diss., 1994

Subjects: Comparative Studies. Non-European Languages/Literatures

Keywords: Maschinelle Übersetzung ; Unifikationsgrammatik ; Terminologie ; Hochschulschrift

UID:

Format: XV, 426 p. 84 illus. , online resource.

ISBN: 9783642388248

Series Statement: Lecture Notes in Computer Science, 7934

Content: This book constitutes the refereed proceedings of the 18th International Conference on Applications of Natural Language to Information Systems, held in Salford, UK, in June 2013. The 21 long papers, 15 short papers and 17 poster papers presented in this volume were carefully reviewed and selected from 80 submissions. The papers cover the following topics: requirements engineering, question answering systems, named entity recognition, sentiment analysis and mining, forensic computing, semantic web, and information search.

Note: Full Papers -- Extraction of Statements in News for a Media Response Analysis -- Sentiment-Based Ranking of Blog Posts Using Rhetorical Structure Theory -- Automatic Detection of Ambiguous Terminology for Software Requirements -- An OpenCCG-Based Approach to Question Generation from Concepts -- A Hybrid Approach for Arabic Diacritization -- EDU-Based Similarity for Paraphrase Identification -- Exploiting Query Logs and Field-Based Models to Address Term Mismatch in an HIV/AIDS FAQ Retrieval System -- Exploring Domain-Sensitive Features for Extractive Summarization in the Medical Domain -- A Corpus-Based Approach for the Induction of Ontology Lexica -- SQUALL: A Controlled Natural Language as Expressive as SPARQL 1.1 -- Evaluating Syntactic Sentence Compression for Text Summarisation -- An Unsupervised Aspect Detection Model for Sentiment Analysis of Reviews -- Cross-Lingual Natural Language Querying over the Web of Data -- Extractive Text Summarization: Can We Use the Same Techniques for Any Text? -- Unsupervised Medical Subject Heading Assignment Using Output Label Co-occurrence Statistics and Semantic Predications -- Bayesian Model Averaging and Model Selection for Polarity Classification -- An Approach for Extracting and Disambiguating Arabic Persons’ Names Using Clustered Dictionaries and Scored Patterns -- ANEAR: Automatic Named Entity Aliasing Resolution -- Improving Candidate Generation for Entity Linking -- Person Name Recognition Using the Hybrid Approach -- A Broadly Applicable and Flexible Conceptual Metagrammar as a Basic Tool for Developing a Multilingual Semantic Web -- Short Papers -- MOSAIC: A Cohesive Method for Orchestrating Discrete Analytics in a Distributed Model -- Ranking Search Intents Underlying a Query -- Linguistic Sentiment Features for Newspaper Opinion Mining -- Text Classification of Technical Papers Based on Text Segmentation -- Product Features Categorization Using Constrained Spectral Clustering -- A New Approach for Improving Cross-Document Knowledge Discovery Using Wikipedia -- Using Grammar-Profiles to Intrinsically Expose Plagiarism in Text Documents -- Feature Selection Methods in Persian Sentiment Analysis -- Towards the Refinement of the Arabic Soundex -- An RDF-Based Semantic Index -- Experiments in Producing Playful “Explanations” for Given Names (Anthroponyms) in Hebrew and English -- Collaborative Enrichment of Electronic Dictionaries Standardized-LMF -- Enhancing Machine Learning Results for Semantic Relation Extraction -- GenDesc: A Partial Generalization of Linguistic Features for Text Classification -- Entangled Semantics -- Poster Papers -- Phrase Table Combination Deficiency Analyses in Pivot-Based SMT -- Analysing Customers Sentiments: An Approach to Opinion Mining and Classification of Online Hotel Reviews -- An Improved Discriminative Category Matching in Relation Identification -- Extracting Fine-Grained Entities Based on Coordinate Graph -- NLP-Driven Event Semantic Ontology Modeling for Story -- The Development of an Ontology for Reminiscence -- Chinese Sentence Analysis Based on Linguistic Entity-Relationship Model -- A Dependency Graph Isomorphism for News Sentence Searching -- Unsupervised Gazette Creation Using Information Distance -- A Multi-purpose Online Toolset for NLP Applications -- A Test-Bed for Text-to-Speech-Based Pedestrian Navigation Systems -- Automatic Detection of Arabic Causal Relations -- A Framework for Employee Appraisals Based on Inductive Logic Programming and Data Mining Methods -- A Method for Improving Business Intelligence Interpretation through the Use of Semantic Technology -- Code Switch Point Detection in Arabic -- SurveyCoder: A System for Classification of Survey Responses -- Rhetorical Representation and Vector Representation in Summarizing Arabic Text.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783642388231

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift ; Konferenzschrift

DOI: 10.1007/978-3-642-38824-8

URL: http://dx.doi.org/10.1007/978-3-642-38824-8

URL: Volltext  (lizenzpflichtig)

URL: Volltext  (lizenzpflichtig)

URL: Cover

UID:

Format: X, 474 p. , online resource.

ISBN: 9783540497387

Series Statement: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, 1040

Content: This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.

Note: Learning approaches for natural language processing -- Separating learning and representation -- Natural language grammatical inference: A comparison of recurrent neural networks and machine learning methods -- Extracting rules for grammar recognition from Cascade-2 networks -- Generating English plural determiners from semantic representations: A neural network learning approach -- Knowledge acquisition in concept and document spaces by using self-organizing neural networks -- Using hybrid connectionist learning for speech/language analysis -- SKOPE: A connectionist/symbolic architecture of spoken Korean processing -- Integrating different learning approaches into a multilingual spoken language translation system -- Learning language using genetic algorithms -- A statistical syntactic disambiguation program and what it learns -- Training stochastic grammars on semantical categories -- Learning restricted probabilistic link grammars -- Learning PP attachment from corpus statistics -- A minimum description length approach to grammar inference -- Automatic classification of dialog acts with Semantic Classification Trees and Polygrams -- Sample selection in natural language learning -- Learning information extraction patterns from examples -- Implications of an automatic lexical acquisition system -- Using learned extraction patterns for text classification -- Issues in inductive learning of domain-specific text extraction rules -- Applying machine learning to anaphora resolution -- Embedded machine learning systems for natural language processing: A general framework -- Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique -- Applying an existing machine learning algorithm to text categorization -- Comparative results on using inductive logic programming for corpus-based parser construction -- Learning the past tense of English verbs using inductive logic programming -- A dynamic approach to paradigm-driven analogy -- Can punctuation help learning? -- Using parsed corpora for circumventing parsing -- A symbolic and surgical acquisition of terms through variation -- A revision learner to acquire verb selection rules from human-made rules and examples -- Learning from texts — A terminological metareasoning perspective.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783540609254

Language: English

DOI: 10.1007/3-540-60925-3

URL: http://dx.doi.org/10.1007/3-540-60925-3

UID:

Format: X, 474 p. , online resource.

Edition: 1st ed. 1996.

ISBN: 9783540497387

Series Statement: Lecture Notes in Artificial Intelligence ; 1040

Content: This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.

Note: Learning approaches for natural language processing -- Separating learning and representation -- Natural language grammatical inference: A comparison of recurrent neural networks and machine learning methods -- Extracting rules for grammar recognition from Cascade-2 networks -- Generating English plural determiners from semantic representations: A neural network learning approach -- Knowledge acquisition in concept and document spaces by using self-organizing neural networks -- Using hybrid connectionist learning for speech/language analysis -- SKOPE: A connectionist/symbolic architecture of spoken Korean processing -- Integrating different learning approaches into a multilingual spoken language translation system -- Learning language using genetic algorithms -- A statistical syntactic disambiguation program and what it learns -- Training stochastic grammars on semantical categories -- Learning restricted probabilistic link grammars -- Learning PP attachment from corpus statistics -- A minimum description length approach to grammar inference -- Automatic classification of dialog acts with Semantic Classification Trees and Polygrams -- Sample selection in natural language learning -- Learning information extraction patterns from examples -- Implications of an automatic lexical acquisition system -- Using learned extraction patterns for text classification -- Issues in inductive learning of domain-specific text extraction rules -- Applying machine learning to anaphora resolution -- Embedded machine learning systems for natural language processing: A general framework -- Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique -- Applying an existing machine learning algorithm to text categorization -- Comparative results on using inductive logic programming for corpus-based parser construction -- Learning the past tense of English verbs using inductive logic programming -- A dynamic approach to paradigm-driven analogy -- Can punctuation help learning? -- Using parsed corpora for circumventing parsing -- A symbolic and surgical acquisition of terms through variation -- A revision learner to acquire verb selection rules from human-made rules and examples -- Learning from texts - A terminological metareasoning perspective.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783662163405

Additional Edition: Printed edition: ISBN 9783540609254

Language: English

DOI: 10.1007/3-540-60925-3

URL: https://doi.org/10.1007/3-540-60925-3

UID:

Format: 1 online resource (X, 474 p.)

Edition: 1st ed. 1996.

Edition: Online edition Springer Lecture Notes Archive ; 041142-5

ISBN: 3-540-49738-2

Series Statement: Lecture Notes in Artificial Intelligence ; 1040

Content: This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.

Note: Bibliographic Level Mode of Issuance: Monograph , Learning approaches for natural language processing -- Separating learning and representation -- Natural language grammatical inference: A comparison of recurrent neural networks and machine learning methods -- Extracting rules for grammar recognition from Cascade-2 networks -- Generating English plural determiners from semantic representations: A neural network learning approach -- Knowledge acquisition in concept and document spaces by using self-organizing neural networks -- Using hybrid connectionist learning for speech/language analysis -- SKOPE: A connectionist/symbolic architecture of spoken Korean processing -- Integrating different learning approaches into a multilingual spoken language translation system -- Learning language using genetic algorithms -- A statistical syntactic disambiguation program and what it learns -- Training stochastic grammars on semantical categories -- Learning restricted probabilistic link grammars -- Learning PP attachment from corpus statistics -- A minimum description length approach to grammar inference -- Automatic classification of dialog acts with Semantic Classification Trees and Polygrams -- Sample selection in natural language learning -- Learning information extraction patterns from examples -- Implications of an automatic lexical acquisition system -- Using learned extraction patterns for text classification -- Issues in inductive learning of domain-specific text extraction rules -- Applying machine learning to anaphora resolution -- Embedded machine learning systems for natural language processing: A general framework -- Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique -- Applying an existing machine learning algorithm to text categorization -- Comparative results on using inductive logic programming for corpus-based parser construction -- Learning the past tense of English verbs using inductive logic programming -- A dynamic approach to paradigm-driven analogy -- Can punctuation help learning? -- Using parsed corpora for circumventing parsing -- A symbolic and surgical acquisition of terms through variation -- A revision learner to acquire verb selection rules from human-made rules and examples -- Learning from texts — A terminological metareasoning perspective. , English

In: Springer eBooks

Additional Edition: ISBN 3-540-60925-3

Language: English

DOI: 10.1007/3-540-60925-3

URL: http://dx.doi.org/10.1007/3-540-60925-3

UID:

Format: 1 online resource (X, 474 p.)

Edition: 1st ed. 1996.

Edition: Online edition Springer Lecture Notes Archive ; 041142-5

ISBN: 3-540-49738-2

Series Statement: Lecture Notes in Artificial Intelligence ; 1040

Content: This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.

Note: Bibliographic Level Mode of Issuance: Monograph , Learning approaches for natural language processing -- Separating learning and representation -- Natural language grammatical inference: A comparison of recurrent neural networks and machine learning methods -- Extracting rules for grammar recognition from Cascade-2 networks -- Generating English plural determiners from semantic representations: A neural network learning approach -- Knowledge acquisition in concept and document spaces by using self-organizing neural networks -- Using hybrid connectionist learning for speech/language analysis -- SKOPE: A connectionist/symbolic architecture of spoken Korean processing -- Integrating different learning approaches into a multilingual spoken language translation system -- Learning language using genetic algorithms -- A statistical syntactic disambiguation program and what it learns -- Training stochastic grammars on semantical categories -- Learning restricted probabilistic link grammars -- Learning PP attachment from corpus statistics -- A minimum description length approach to grammar inference -- Automatic classification of dialog acts with Semantic Classification Trees and Polygrams -- Sample selection in natural language learning -- Learning information extraction patterns from examples -- Implications of an automatic lexical acquisition system -- Using learned extraction patterns for text classification -- Issues in inductive learning of domain-specific text extraction rules -- Applying machine learning to anaphora resolution -- Embedded machine learning systems for natural language processing: A general framework -- Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique -- Applying an existing machine learning algorithm to text categorization -- Comparative results on using inductive logic programming for corpus-based parser construction -- Learning the past tense of English verbs using inductive logic programming -- A dynamic approach to paradigm-driven analogy -- Can punctuation help learning? -- Using parsed corpora for circumventing parsing -- A symbolic and surgical acquisition of terms through variation -- A revision learner to acquire verb selection rules from human-made rules and examples -- Learning from texts — A terminological metareasoning perspective. , English

In: Springer eBooks

Additional Edition: ISBN 3-540-60925-3

Language: English

DOI: 10.1007/3-540-60925-3

URL: http://dx.doi.org/10.1007/3-540-60925-3

UID:

Format: XXX, 360 p. 84 illus., 81 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9783031172588

Series Statement: Cognitive Technologies,

Content: This open access book provides an in-depth description of the EU project European Language Grid (ELG). Its motivation lies in the fact that Europe is a multilingual society with 24 official European Union Member State languages and dozens of additional languages including regional and minority languages. The only meaningful way to enable multilingualism and to benefit from this rich linguistic heritage is through Language Technologies (LT) including Natural Language Processing (NLP), Natural Language Understanding (NLU), Speech Technologies and language-centric Artificial Intelligence (AI) applications. The European Language Grid provides a single umbrella platform for the European LT community, including research and industry, effectively functioning as a virtual home, marketplace, showroom, and deployment centre for all services, tools, resources, products and organisations active in the field. Today the ELG cloud platform already offers access to more than 13,000 language processing tools and language resources. It enables all stakeholders to deposit, upload and deploy their technologies and datasets. The platform also supports the long-term objective of establishing digital language equality in Europe by 2030 - to create a situation in which all European languages enjoy equal technological support. This is the very first book dedicated to Language Technology and NLP platforms. Cloud technology has only recently matured enough to make the development of a platform like ELG feasible on a larger scale. The book comprehensively describes the results of the ELG project. Following an introduction, the content is divided into four main parts: (I) ELG Cloud Platform; (II) ELG Inventory of Technologies and Resources; (III) ELG Community and Initiative; and (IV) ELG Open Calls and Pilot Projects.

Note: Preface -- 1. European Language Grid: Introduction -- 2. The European Language Grid Platform: Basic Concepts -- 3. Using the European Language Grid as a Consumer -- 4. Contributing to the European Language Grid as a Provider -- 5. Technical Cloud Infrastructure -- 6. Interoperable Metadata Bridges to the wider Language Technology Ecosystem -- 7. Language Technology Tools and Services -- 8. Datasets, Corpora and other Language Resources -- 9. Language Technology Companies, Research Organisations and Projects -- 10. European Language Technology Landscape: Communication and Collaborations -- 11. ELG National Competence Centres and Events -- 12. Innovation and Marketplace: A Vision for the European Language Grid -- 13. Sustaining the European Language Grid: Towards the ELG Legal Entity -- 14. Open Calls and Pilot Projects -- 15. Basque-speaking Smart Speaker based on Mycroft AI -- 16. CEFR Labelling and Assessment Services -- 17. European Clinical Case Corpus -- 18. Extracting Terminological Concept Systems from Natural Language Text -- 19. Italian EVALITA Benchmark Linguistic Resources, NLP Services and Tools -- 20. Lingsoft Solutions as Distributable Containers -- 21. Motion Captures 3D Sign Language Resources -- 22. Multilingual Image Corpus -- 23. Multilingual Knowledge Systems as Linguistic Linked Open Data -- 24.Open Translation Models, Tools and Services -- 25. Sign Language Explanations for Terms in a Text -- 26. Streaming Language Processing in Manufacturing -- 27. Textual Paraphrase Dataset for Deep Language Modelling -- 28. Universal Semantic Annotator -- 29. Virtual Personal Assistant Prototype YouTwinDi.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031172571

Additional Edition: Printed edition: ISBN 9783031172595

Additional Edition: Printed edition: ISBN 9783031172601

Language: English

DOI: 10.1007/978-3-031-17258-8

URL: https://doi.org/10.1007/978-3-031-17258-8