Parallel Natural Language Processing

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Parallel Natural Language Processing
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Parallel processing is not only a general topic of interest for computer scientists and researchers in artificial intelligence, but it is gaining more and more
Practical Natural Language Processing
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Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and sc
Parallel Text Processing
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l This book evolved from the ARCADE evaluation exercise that started in 1995. The project's goal is to evaluate alignment systems for parallel texts, i. e. , te
Connectionist Approaches to Natural Language Processing
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Originally published in 1992, when connectionist natural language processing (CNLP) was a new and burgeoning research area, this book represented a timely asses
Building and Using Comparable Corpora
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The 1990s saw a paradigm change in the use of corpus-driven methods in NLP. In the field of multilingual NLP (such as machine translation and terminology mining