By Frank Van Eynde
This paintings bargains a survey of tools and strategies for structuring, buying and keeping lexical assets for speech and language processing. the 1st bankruptcy offers a wide survey of the sector of computational lexicography, introducing many of the concerns, phrases and issues that are addressed in additional aspect within the remainder of the e-book. the subsequent chapters specialize in the constitution and the content material of artificial lexicons, concentrating respectively on (morpho-)syntactic and (morpho-)phonological info. either chapters undertake a declarative constraint-based technique and pay considerable cognizance to some of the ways that lexical generalizations could be formalized and exploited to reinforce the consistency and to minimize the redundancy of lexicons. A complementary viewpoint is out there within the subsequent chapters, which current ideas for immediately deriving lexical assets from textual content corpora. those chapters undertake an inductive data-oriented technique and concentration additionally on equipment for tokenization, lemmatization and shallow parsing. the following 3 chapters specialise in speech synthesis and speech popularity.
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Additional info for Lexicon Development for Speech and Language Processing
Example text
82, simplifies the outer levels of this structure (Figure 6). Lexical semantic microstructure, as in Pustejovsky's Generative Lexicon Theory (for feature structure details, see Pustejovsky (1995)). Qualia structure (semantic properties), Event Structure (temporal properties), Argument Structure (predicate-argument relations), Inheritance structure (generalisation macrostructure). 1 But if only they wouldn't use orthography and call it phonology... 26 D. fin] SUBCAT (NP[nom][i][3rd,singj) SYNSEM LOCAL CONTENT [ Figure 6.
26 D. fin] SUBCAT (NP[nom][i][3rd,singj) SYNSEM LOCAL CONTENT [ Figure 6. RELATION WALKER l walk] [iJ I Attribute-value structure for HPSG 1994. The following is an example of a Generative Lexicon microstructure (p. 82), which uses essentially the same formalism as HPSG (Figure 7): build El [ E2 EVENTSTR = R ESTR HEAD ARGl ARGSTR = ARG2 = E1 :process] = E2:state =
It is not sufficient just to remove the 's' in the following examples, for instance: ladies, lady's, ladies'. Additionally, morphographemic and morphophonemic modifications may not be entirely parallel, and when stem modifications are involved (Eng. swim, swam swum, Ger. Stadt, Stiidte), affix-stripping is inadequate. However, it is known that the operations involved in affix-stripping can be described by finite state means, and this suggests that affix-stripping routines are well within the reach of UNIX tools.