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Meaningful Texts: The Extraction of Semantic Information from Monolingual and Multilingual Corpora (Corpus And Discourse)
 
 
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Meaningful Texts: The Extraction of Semantic Information from Monolingual and Multilingual Corpora (Corpus And Discourse) [Hardcover]

Geoff Barnbrook (Author), Michaela Mahlberg (Author), Pernilla Danielsson (Author)
3.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

082647490X 978-0826474902 December 23, 2004
Reflects the growing influence of corpus linguistics on areas such as lexicography, translation studies, genre analysis and language teaching.

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Editorial Reviews

Review

"…the articles are interesting to read and methods introduced are applicable to different phenomena…the book can be recommended for those who are interested in corpus-based linguistics and corpus-based translation studies, especially if their research is concerned with Slavonic or Baltic languages." -- The Linguist List, May 2005 (The Linguist List )

"The 21 chapters that make up this edited collection take the reader across a range of interesting and diverse topics. The use of corpora to explore a variety of issues from machine translation to teaching implications creates a link between the different chapters. An impressive range of languages is represented, including Lithuanian, Czech, Chinese, French, and Hungarian. As the title states, the studies include work with both monolingual and multilingual corpora, and the type of corpora is used as an organizing feature...This work addresses a range of interesting topics through well-written chapters. Readers interested in the breadth of topics and languages that can be addressed through corpus explorations will find this a useful collection." --Randi Reppen, Studies in Second Language Acquisition, December 2008

"…the articles are interesting to read and methods introduced are applicable to different phenomena…the book can be recommended for those who are interested in corpus-based linguistics and corpus-based translation studies, especially if their research is concerned with Slavonic or Baltic languages." -- The Linguist List, May 2005 (, )

“The 21 chapters that make up this edited collection take the reader across a range of interesting and diverse topics. The use of corpora to explore a variety of issues from machine translation to teaching implications creates a link between the different chapters. An impressive range of languages is represented, including Lithuanian, Czech, Chinese, French, and Hungarian. As the title states, the studies include work with both monolingual and multilingual corpora, and the type of corpora is used as an organizing feature…This work addresses a range of interesting topics through well-written chapters. Readers interested in the breadth of topics and languages that can be addressed through corpus explorations will find this a useful collection.” –Randi Reppen, Studies in Second Language Acquisition, December 2008

About the Author

Geoff Barnbrook is Lecturer in English Language in the Department of English, University of Birmingham. Pernilla Danielsson is Academic Director of the Centre for Corpus Research, University of Birmingham. Michaela Mahlberg is Associate Professor in English Language and Applied Linguistics at the The University of Nottingham, UK.

Product Details

  • Hardcover: 242 pages
  • Publisher: Continuum (December 23, 2004)
  • Language: English
  • ISBN-10: 082647490X
  • ISBN-13: 978-0826474902
  • Product Dimensions: 9.4 x 6.5 x 1 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #8,387,363 in Books (See Top 100 in Books)

 

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2 of 3 people found the following review helpful:
3.0 out of 5 stars no useful machine methods for semantic extraction, September 10, 2005
This review is from: Meaningful Texts: The Extraction of Semantic Information from Monolingual and Multilingual Corpora (Corpus And Discourse) (Hardcover)
The book is certainly useful to linguistics researchers. Especially in the area of dealing with multilingual corpora. But for readers looking for machine methods to extract this semantic information, you're out of luck. At least for data that has not already been cleaned up.

For the presumed rise of the Semantic Web, it is vital to have such machine methods, to apply against vast reserviors of existing data, both currently on the web and not. Sadly, this text won't help. The problem is simply very hard, given the widely varying types of data to be dealt with.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
translation unit, singular nominative, computational lexicography, multilingual corpora, possibility suffix, noun baron, nominal collocates, trilingual corpus, verbal collocates, translation equivalent pairs, structural derivation, corpora and translation studies, lemmatized concordances, whole lemma, collocational analysis, multiword lexemes, semantic concordance, from text collections, specialized corpora, noun collocations, genre corpus, national terminology, corpus experiment, comparable corpus, multiword units
Key Phrases - Capitalized Phrases (CAPs): (learn more)
John Benjamins, Oxford University Press, Computational Linguistics, Cambridge University Press, Hong Kong, Special Brew, British National Corpus, Normalized Expectation, Cambridge International Dictionary of English, Presidente da República, Mutual Expectation, International Conference, State President, World Wide Web, Singular Instrumental, Lecture Notes, Fair Point of Expectation, Translation Equivalent Pair, Lei de Imprensa, New York, The Balancing Act, Applied Natural Language Processing, Springer Verlag, Artificial Intelligence, Oxford Advanced Learner's Dictionary
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