08397nam 22007095 450 99646560030331620200705183427.03-540-37336-510.1007/11816508(CKB)1000000000233070(SSID)ssj0000316028(PQKBManifestationID)11232658(PQKBTitleCode)TC0000316028(PQKBWorkID)10263450(PQKB)10609585(DE-He213)978-3-540-37336-0(MiAaPQ)EBC3068179(PPN)123137330(EXLCZ)99100000000023307020100301d2006 u| 0engurnn|008mamaatxtccrAdvances in Natural Language Processing[electronic resource] 5th International Conference, FinTAL 2006 Turku, Finland, August 23-25, 2006 Proceedings /edited by Tapio Salakoski, Filip Ginter, Sampo Pyysalo, Tapio Pahikkala1st ed. 2006.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2006.1 online resource (XVI, 771 p.) Lecture Notes in Artificial Intelligence ;4139Bibliographic Level Mode of Issuance: Monograph3-540-37334-9 Includes bibliographical references and index.Keynote Addresses -- Recursion in Natural Languages -- The Explanatory Combinatorial Dictionary as the Key Tool in Machine Translation -- A Finite-State Approximation of Optimality Theory: The Case of Finnish Prosody -- Research Papers -- A Bilingual Corpus of Novels Aligned at Paragraph Level -- A Computational Implementation of Internally Headed Relative Clause Constructions -- A Corpus-Based Empirical Account of Adverbial Clauses Across Speech and Writing in Contemporary British English -- A Korean Syntactic Parser Customized for Korean-English Patent MT System -- A Scalable and Distributed NLP Architecture for Web Document Annotation -- A Straightforward Method for Automatic Identification of Marginalized Languages -- A Text Mining Approach for Definition Question Answering -- Accommodating Multiword Expressions in an Arabic LFG Grammar -- Analysis of EU Languages Through Text Compression -- Applying Latent Dirichlet Allocation to Automatic Essay Grading -- Automatic Acquisition of Semantic Relationships from Morphological Relatedness -- Automatic Feature Extraction for Question Classification Based on Dissimilarity of Probability Distributions -- Cat3LB and Cast3LB: From Constituents to Dependencies -- Classification of News Web Documents Based on Structural Features -- Cognition and Physio-acoustic Correlates — Audio and Audio-visual Effects of a Short English Emotional Statement: On JL2, FL2 and EL1 -- Compiling Generalized Two-Level Rules and Grammars -- Computer Analysis of the Turkmen Language Morphology -- Coordination Structures in a Typed Feature Structure Grammar: Formalization and Implementation -- Cue-Based Interpretation of Customer’s Requests: Analysis of Estonian Dialogue Corpus -- Czech-English Phrase-Based Machine Translation -- Deep vs. Shallow Semantic Analysis Applied to Textual Entailment Recognition -- Dictionary-Free Morphological Classifier of Russian Nouns -- Discourse Segmentation of German Written Texts -- Document Clustering Based on Maximal Frequent Sequences -- Enriching Thesauri with Hierarchical Relationships by Pattern Matching in Dictionaries -- Evaluation of Alignment Methods for HTML Parallel Text -- Experiments in Passage Selection and Answer Identification for Question Answering -- Extracting Idiomatic Hungarian Verb Frames -- Extracting Term Collocations for Directing Users to Informative Web Pages -- Feasibility of Enriching a Chinese Synonym Dictionary with a Synchronous Chinese Corpus -- Finding Spanish Syllabification Rules with Decision Trees -- Identifying Text Discourse Structure of the Narratives Describing Psychiatric Patients’ Defense Mechanisms -- Implementing a Rule-Based Speech Synthesizer on a Mobile Platform -- Improving Phrase-Based Statistical Translation Through Combination of Word Alignments -- Improving Statistical Word Alignments with Morpho-syntactic Transformations -- Improving Term Extraction with Terminological Resources -- Improving Thai Spelling Recognition with Tone Features -- Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations -- Is a Morphologically Complex Language Really that Complex in Full-Text Retrieval? -- Language Independent Answer Prediction from the Web -- Language Model Mixtures for Contextual Ad Placement in Personal Blogs -- Local Constraints on Arabic Word Order -- MEDITE: A Unilingual Textual Aligner -- Maximum Likelihood Alignment of Translation Equivalents -- Measuring Intelligibility of Japanese Learner English -- Morphological Lexicon Extraction from Raw Text Data -- On the Use of Topic Models for Word Completion -- Ord i Dag: Mining Norwegian Daily Newswire -- Paraphrase Identification on the Basis of Supervised Machine Learning Techniques -- Passage Filtering for Open-Domain Question Answering -- Persian in MULTEXT-East Framework -- Prerequisites for a Comprehensive Dictionary of Serbian Compounds -- Regular Approximation of Link Grammar -- Segmental Duration in Utterance-Initial Environment: Evidence from Finnish Speech Corpora -- Selection Strategies for Multi-label Text Categorization -- Some Problems of Prepositional Phrases in Machine Translation -- Speech Confusion Index (Ø): A Recognition Rate Indicator for Dysarthric Speakers -- Statistical Machine Translation of German Compound Words -- Summarizing Documents in Context: Modeling the User’s Information Need -- Supervised TextRank -- Tagging a Morphologically Complex Language Using Heuristics -- Terminology Structuring Through the Derivational Morphology -- Text Segmentation Criteria for Statistical Machine Translation -- The Classificatim Sense-Mining System -- The Role of Verb Sense Disambiguation in Semantic Role Labeling -- The Vowel Game: Continuous Real-Time Visualization for Pronunciation Learning with Vowel Charts -- Towards a Framework for Evaluating Syntactic Parsers -- Towards the Improvement of Statistical Translation Models Using Linguistic Features -- Treating Unknown Light Verb Construction in Korean-to-English Patent MT -- Trees as Contexts in Formal Language Generation -- Two String-Based Finite-State Models of the Semantics of Calendar Expressions -- Using Alignment Templates to Infer Shallow-Transfer Machine Translation Rules.Lecture Notes in Artificial Intelligence ;4139Natural language processing (Computer science)Artificial intelligenceMathematical logicInformation storage and retrievalNatural Language Processing (NLP)https://scigraph.springernature.com/ontologies/product-market-codes/I21040Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Natural Language Processing (NLP)https://scigraph.springernature.com/ontologies/product-market-codes/I21040Natural language processing (Computer science).Artificial intelligence.Mathematical logic.Information storage and retrieval.Natural Language Processing (NLP).Artificial Intelligence.Mathematical Logic and Formal Languages.Information Storage and Retrieval.Natural Language Processing (NLP).006.35Salakoski Tapioedthttp://id.loc.gov/vocabulary/relators/edtGinter Filipedthttp://id.loc.gov/vocabulary/relators/edtPyysalo Sampoedthttp://id.loc.gov/vocabulary/relators/edtPahikkala Tapioedthttp://id.loc.gov/vocabulary/relators/edtBOOK996465600303316Advances in Natural Language Processing771954UNISA01358nas 2200421- 450 991089432490332120170208064648.73034-3852(DE-599)ZDB3105140-6(OCoLC)908263622(CKB)2660000000040176(CONSER)--2015234414(EXLCZ)99266000000004017620150501a20149999 --- -rustxtrdacontentnrdamediancrdacarrierVestnik Omskogo universitetaSerii͡a Istoricheskie nauki =Herald of Omsk University. Historical studiesOmsk :FGBOU VPO "OmGU im. F.M. DostoevskogoRefereed/Peer-reviewed2312-1300 Herald of Omsk University.Istoricheskie naukiHistorical studiesRussiaHistoryPeriodicalsSoviet UnionHistoryPeriodicalsRussia (Federation)HistoryPeriodicalsRussiafastRussia (Federation)fastSoviet UnionfastHistory.fastPeriodicals.fastOmskiĭ gosudarstvennyĭ universitet im. F.M. Dostoevskogo,JOURNAL9910894324903321Vestnik Omskogo universiteta4211462UNINA03774nam 22006855 450 991104780000332120251118120426.03-032-01726-210.1007/978-3-032-01726-0(CKB)43368573000041(MiAaPQ)EBC32421568(Au-PeEL)EBL32421568(DE-He213)978-3-032-01726-0(EXLCZ)994336857300004120251118d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierBiosensors as Analytical Tools for the 21st Century Principles and Applications /by Aleksandr Simonian, Mary Anitha Arugula, Paolo Bollella1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (289 pages)Engineering Series3-032-01725-4 Introduction -- Definitions and Concepts -- Bio-Recognition Elements -- Immobilization: Fundamentals and Protocols -- Novel Materials for Biosensing -- Bio-Functionalization and Surface Chemistry -- Transducers: Theory and Applications -- Biosensor Technology: Structure, Design, and Fabrication -- Milestones in Biosensor Applications -- Laboratory Protocols.This book provides a clear and contemporary understanding of the fundamental concepts, principles, and applications of biosensors. It serves as a cutting-edge resource for readers to gain both theoretical knowledge and practical skills in science and technology. Designed for researchers, students at all levels, and professionals in research and education, it offers valuable introductory material while also exploring the future prospects of the field. Written by experienced authors, the book systematically covers the principles, techniques, and applications of biosensors, addressing a gap in existing literature that often overlooks practical applications and results-oriented experimental protocols. It delves into current and future trends in applied techniques that are rarely found elsewhere and combines theoretical content with laboratory protocols (accompanied by videos), experimental procedures, and problem sets with solutions. Additionally, it incorporates the latest advancements in biotechnology for a practical, application-driven approach. Introduces the definitions and core concepts of biosensor technology; Compiles recent trends in advanced biosensors and the use of MEMS, Lab-on-a-Chip systems, and multiplexed detection; Provides laboratory protocols and hands-on experience with results and data.Engineering SeriesBiomedical engineeringMaterialsDetectorsSurface chemistryAnalytical chemistryElectrochemistryBiomedical Engineering and BioengineeringSensors and biosensorsSurface ChemistryBioanalytical ChemistryElectrochemistryBiomedical engineering.Materials.Detectors.Surface chemistry.Analytical chemistry.Electrochemistry.Biomedical Engineering and Bioengineering.Sensors and biosensors.Surface Chemistry.Bioanalytical Chemistry.Electrochemistry.610.28Simonian Aleksandr1864389MiAaPQMiAaPQMiAaPQBOOK9911047800003321Biosensors as Analytical Tools for the 21st Century4471205UNINA