000 03656nam a22005295i 4500
001 978-3-031-02150-3
003 DE-He213
005 20240730164118.0
007 cr nn 008mamaa
008 220601s2013 sz | s |||| 0|eng d
020 _a9783031021503
_9978-3-031-02150-3
024 7 _a10.1007/978-3-031-02150-3
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aBender, Emily M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982183
245 1 0 _aLinguistic Fundamentals for Natural Language Processing
_h[electronic resource] :
_b100 Essentials from Morphology and Syntax /
_cby Emily M. Bender.
250 _a1st ed. 2013.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2013.
300 _aXVII, 166 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
505 0 _aAcknowledgments -- Introduction/motivation -- Morphology: Introduction -- Morphophonology -- Morphosyntax -- Syntax: Introduction -- Parts of speech -- Heads, arguments, and adjuncts -- Argument types and grammatical functions -- Mismatches between syntactic position and semantic roles -- Resources -- Bibliography -- Author's Biography -- General Index -- Index of Languages.
520 _aMany NLP tasks have at their core a subtask of extracting the dependencies-who did what to whom-from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this book is to present in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems. Table of Contents: Acknowledgments / Introduction/motivation / Morphology: Introduction / Morphophonology / Morphosyntax / Syntax: Introduction / Parts of speech / Heads, arguments, and adjuncts / Argument types and grammatical functions / Mismatches between syntactic position and semantic roles / Resources / Bibliography / Author's Biography / General Index / Index of Languages.
650 0 _aArtificial intelligence.
_93407
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aComputational linguistics.
_96146
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aComputational Linguistics.
_96146
710 2 _aSpringerLink (Online service)
_982184
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031001741
776 0 8 _iPrinted edition:
_z9783031010224
776 0 8 _iPrinted edition:
_z9783031032783
830 0 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
_982185
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02150-3
912 _aZDB-2-SXSC
942 _cEBK
999 _c85312
_d85312