Buch
Translation, Brains and the Computer
-A Neurolinguistic Solution to Ambiguity and Complexity in Machine Translation-Bernard Scott
149,79
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Machine Translation: Technologies and Applications (Bd. 2) |
Sprache | : | Englisch |
Erschienen | : | 28. 12. 2018 |
Seiten | : | 241 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 403 g |
ISBN | : | 9783030095383 |
Sprache | : | Englisch |
Inhaltsverzeichnis
1 Introduction.-  2  Background.- Logos Model Beginnings.- Advent of Statistical MT.- Overview of Logos Model Translation Process.- Psycholinguistic and Neurolinguistic Assumptions.- On Language and Grammar.- Conclusion.- 3 – Language and Ambiguity:  Psycholinguistic Perspectives.- Levels of Ambiguity.- Language Acquisition and Translation.- Psycholinguistic Bases of Language Skills.- Practical Implications for Machine Translation.- Psycholinguistics in a Machine.- Conclusion.- 4– Language and Complexity:  Neurolinguistic Perspectives .- Cognitive Complexity.- A Role for Semantic Abstraction.- Connectionism and Brain Simulation.- Logos Model as a Neural Network.- Language Processing in the Brain.- MT Performance and Underlying Competence.- Conclusion.- 5 – Syntax and Semantics:  Dichotomy or Integration? .- Syntax versus Semantics: Is There a Third, Semantico- Syntactic Perspective?.- Recent Views of the Cerebral Process.- Syntax and Semantics: How Do They Relate?.- Conclusion.- 6 –Logos Model:  Design and Performance.- The Translation Problem.- How Do You Represent Natural Language?.- How Do You Store Linguistic Knowledge?.- How Do You Apply Stored Knowledge To The Input Stream?.- How do you Effect Target Transfer and Generation?.- How Do You Deal with Complexity Issues?.- Conclusion.- 7 – Some limits on Translation Quality.- First Example.- Second Example.- Other Translation Examples.- Balancing the Picture.- Conclusion.- 8 – Deep Learning MT and Logos Model.- Points of Similarity and Differences.- Deep Learning, Logos Model and the Brain.- On Learning.- The Hippocampus Again.- Conclusion.- Part II.- The SAL Representation  Language.- SAL Nouns.- SAL Verbs.- SAL Adjectives.- SAL Adverbs.
Pressestimmen
“Natural language processing is one of the most rapidly evolving areas of artificial intelligence, and is the subject of this excellent book. … One of the important contributions of this valuable resource is its presentation and comparison of many current state-of-the-art machine translation systems available to the general public. Summing Up: Recommended. Advanced undergraduates through faculty and professionals.” (J. Brzezinski, Choice, Vol. 56 (6), February, 2019)