Matches in SemOpenAlex for { <https://semopenalex.org/work/W18783407> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W18783407 startingPage "139" @default.
- W18783407 abstract "Abstract This article investigates one kind of cross-part-of-speech relation for English, Czech and Zulu lexical resources in the form of semantic networks (wordnets). Many languages have rules whereby new words are derived regularly and productively from existing words via morphological processes. The morphologically unmarked base words and the derived words, which share a semantic core with the base words, can be interlinked and integrated into wordnets, where they typically form nests or subnets. Efforts are described to capture the morphological and semantic regularities of derivational processes in English, Czech and Zulu to compare the linguistic mechanisms and to exploit them for suitable computational processing and wordnet construction. While some work has been done for English and Czech already, wordnets for Zulu and other Bantu languages are still in their infancy. This article illustrates how Zulu can benefit from existing work. Key concepts: derivational relations lexical resources semantic relations wordnets Opsomming In hierdie artikel word een tipe kruis-woordsoortverhouding vir Engelse, Tsjeggiese en Zoeloe leksikale bronne in die vorm van semantiese netwerke (woordnette) ondersoek. Baie tale beskik oor reels waarvolgens nuwe woorde reelmatig en produktief van bestaande woorde via morfologiese prosesse van bestaande woorde afgelei word. Die morfologies ongemarkeerde basiswoorde en die woorde, wat 'n semantiese kern met die basiswoorde in gemeen het, kan met woordnette verbind en geintegreer word. Hulle vorm dan tipies afgeleide neste of subnette. Ons beskryf pogings om morfologiese en semantiese reelmatighede van afleidingsprosesse in Engels, Tsjeggies en Zoeloe vas te le sodat linguistiese meganismes vergelyk en ontgin kan word vir geskikte rekenaarmatige prosessering en woordnetkonstruksie. Terwyl werk reeds in 'n mate vir Engels en Tsjeggies gedoen is, is woordnette vir Zoeloe en ander Bantoetale nog in die beginstadium van ontwikkeling. In hierdie artikel word aangedui hoe Zoeloe deur bestaande werk kan baat vind. Kernbegrippe: verhoudings leksikale bronne semantiese verhoudings woordnette I. Introduction: background and motivation Arguably the greatest challenge for natural language processing (NLP) is the discrimination of distinct senses associated with one word form. The most frequently used words are also the most polysemous, a great problem for texts that are not restricted to a specific domain like finance or medicine. Many systems rely on lexical resources: traditional dictionaries that have been converted to be machine-readable, or electronic lexicons whose formats may be designed specifically for NLP applications. Word sense disambiguation can be defined as the task of matching a word token in a text with the appropriate sense entry in the lexical resource, which serves as a de-facto standard of the sense inventory of a language. Like a human user who does not know a word, automatic systems need as much information as possible about the word they are trying to disambiguate in order to distinguish it from similar but inappropriate senses. A good lexicon for NLP therefore connects as many semantically related words to one another as possible, in the form of definitions, example sentences, or semantic pointers. Wordnets are electronic lexical resources that contain all of these, and their appeal for NLP lies in the way they interconnect word forms and senses by means of semantic relations into a giant network. Each word form with a specific meaning occupies a unique position in that network and can be identified by virtue of its particular constellation in relation to other words. Wordnets are most useful when their network is dense, i.e. when a given word is connected to many other words, as more links mean more semantic information and thus better discrimination of individual word senses. …" @default.
- W18783407 created "2016-06-24" @default.
- W18783407 creator A5011599482 @default.
- W18783407 creator A5024914469 @default.
- W18783407 creator A5056239978 @default.
- W18783407 date "2008-04-01" @default.
- W18783407 modified "2023-09-22" @default.
- W18783407 title "Derivational Relations in English, Czech and Zulu wordnets/Afleidingsverhoudings in Engelse, Tsjeggiese En Zoeloe Woordnette" @default.
- W18783407 hasPublicationYear "2008" @default.
- W18783407 type Work @default.
- W18783407 sameAs 18783407 @default.
- W18783407 citedByCount "0" @default.
- W18783407 crossrefType "journal-article" @default.
- W18783407 hasAuthorship W18783407A5011599482 @default.
- W18783407 hasAuthorship W18783407A5024914469 @default.
- W18783407 hasAuthorship W18783407A5056239978 @default.
- W18783407 hasConcept C134306372 @default.
- W18783407 hasConcept C138885662 @default.
- W18783407 hasConcept C154945302 @default.
- W18783407 hasConcept C204321447 @default.
- W18783407 hasConcept C2777842544 @default.
- W18783407 hasConcept C2778105672 @default.
- W18783407 hasConcept C33923547 @default.
- W18783407 hasConcept C41008148 @default.
- W18783407 hasConcept C41895202 @default.
- W18783407 hasConcept C42058472 @default.
- W18783407 hasConceptScore W18783407C134306372 @default.
- W18783407 hasConceptScore W18783407C138885662 @default.
- W18783407 hasConceptScore W18783407C154945302 @default.
- W18783407 hasConceptScore W18783407C204321447 @default.
- W18783407 hasConceptScore W18783407C2777842544 @default.
- W18783407 hasConceptScore W18783407C2778105672 @default.
- W18783407 hasConceptScore W18783407C33923547 @default.
- W18783407 hasConceptScore W18783407C41008148 @default.
- W18783407 hasConceptScore W18783407C41895202 @default.
- W18783407 hasConceptScore W18783407C42058472 @default.
- W18783407 hasIssue "1" @default.
- W18783407 hasLocation W187834071 @default.
- W18783407 hasOpenAccess W18783407 @default.
- W18783407 hasPrimaryLocation W187834071 @default.
- W18783407 hasRelatedWork W1490815744 @default.
- W18783407 hasRelatedWork W1605014087 @default.
- W18783407 hasRelatedWork W2139666201 @default.
- W18783407 hasRelatedWork W2278368808 @default.
- W18783407 hasRelatedWork W2349876260 @default.
- W18783407 hasRelatedWork W2356781073 @default.
- W18783407 hasRelatedWork W2377537598 @default.
- W18783407 hasRelatedWork W2388965632 @default.
- W18783407 hasRelatedWork W2389539765 @default.
- W18783407 hasRelatedWork W2588232990 @default.
- W18783407 hasRelatedWork W2619274042 @default.
- W18783407 hasRelatedWork W2762652541 @default.
- W18783407 hasRelatedWork W2783091802 @default.
- W18783407 hasRelatedWork W2906222476 @default.
- W18783407 hasRelatedWork W2951115020 @default.
- W18783407 hasRelatedWork W2973561684 @default.
- W18783407 hasRelatedWork W3124325805 @default.
- W18783407 hasRelatedWork W3139185763 @default.
- W18783407 hasRelatedWork W50958056 @default.
- W18783407 hasRelatedWork W2188209966 @default.
- W18783407 hasVolume "29" @default.
- W18783407 isParatext "false" @default.
- W18783407 isRetracted "false" @default.
- W18783407 magId "18783407" @default.
- W18783407 workType "article" @default.