Machine Translation: A Knowledge-based ApproachAll over the world, people are claiming their rights. Are these claims prompted by similar values and aspirations? And even if human rights are universal, what are the consequences of claiming them in different historical, cultural and material realities? The diversity of African countries considered in this book compels careful thought about these questions. |
Contents
Evaluating the Quality of Translation | 15 |
A leftassociative structure | 23 |
Treatment of Meaning in MT Systems | 38 |
Copyright | |
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algorithm ALPAC ambiguity application architecture Artificial Intelligence automatic automation Carnegie Mellon University Center for Machine clause closed-class collocation component Computational Linguistics constraints context-free context-free grammar coreference developed dictionaries disambiguation discourse domain model environment example frame grammar Hidden Markov Models human translator input text instance interactive interface interlingua text is-token-of value KBMT knowledge acquisition knowledge bases knowledge representation knowledge sources knowledge-based machine translation KSIs language analysis lexical realization lexical selection lexical units LR parser LR parsing machine translation system make-frame meaning representation modifiers module morphological MT systems multilingual natural language processing Neural Networks Nirenburg ontology output phoneme postediting produce realization lexical relations represent representation language role rules semantic analysis semantic and pragmatic sentence slot source language text source text Speech and Signal speech recognition speech-to-speech synonymy syntactic structure TAMERLAN target text task text planning text structure Tomita transfer-based typically vocabulary Waibel word