1 / 13

Work Group 2: Ontological Concepts for Lexical Entries

This article explores the ontological concepts for lexical entries, focusing on the verb modifier "hórro." It discusses the proposed solution for listing verbs that take the prefix "mε-", assigns identifiers to link "mεhórro" to "be dirty," and suggests various attributes and conventions to be included in lexical entries. The article also emphasizes the need for a practical working agreement on semantic analysis, guided by developments in computer science and artificial intelligence.

abernice
Download Presentation

Work Group 2: Ontological Concepts for Lexical Entries

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Work Group 2: Ontological Concepts for Lexical Entries

  2. An example (Sesana; Gur; Ghana): hórro "at its heart, dirty": (2) "bad" mε- (prefix, verb>modifier); productive but with exceptions mεhórro 'dirty' (only) Must list in lexical entries which verbs take mε- Proposed solution: Assign identifiers (senses and subsenses) Use subsense indentifier to link mεhorro to "be dirty"

  3. <Citation form>: Attributes (1) native-speaker type (e.g. Ingush and Turkish - use infinitive) : Navajo - infl form (2) linguist-conventions type (Ingush, Turkish, and Navajo: roots) <Orthographic variant> replace <Allomorphs> with <Unpredicatable variation> morph/morpheme -?only when irregular (e.g. suppletion) types: Suppletion, …. <MSI> morphosyntactic information could have a subtypes morphology and syntax, limited, vs.?? <pronunciations> link media stream to transcription (MMaxwell's Form) <senses> MM: definition , gloss, SciName suggested elements: <realm>/<semantic field> - kinship term <dialect> <etymology> - cognate, reconstructions, loans/copies, source language <use> includes register and stylistic value - formal, informal, taboo, colloquial, child language, archaic <comment>

  4. Our thinking about lexical resources/structures has been dominated by print models, primarily dictionaries, less so thesauruses and encyclopedias.

  5. We have the opportunity to design electronic, specifically web, lexical resources in new ways, combining the parts in whatever way is best for specific purposes. This suggests a highly modular design so that the parts can be combined as needed, not just for looking up the meaning or pronunciation of individual words.

  6. The natural unit of analysis is the lexical entry, or lexeme. But each of its parts: phonetic, phonological, orthographic, morphological, syntactic, semantic, pragmatic, perhaps even etymological, are discrete, separable and recurring.

  7. Bell and Bird recognize this to the extent of suggesting as a data structure a set of triples L={Ta = <Fi, Mj, Sk>}, where each T, F, M, S can be separately identified and combined. We can go further with this breakdown, particularly customizing the parts covered by M for the language, providing complete paradigms, derivational patterns, etc.

  8. We know how to break down phonology, orthography, and to some extent, morphology and syntax into smaller units of analysis. We have had less success, consensus, and hence experience with semantics.

  9. We have on the one hand Bloomfield-Fodor “atomism”– the unit of meaning is the meaning of the morpheme– and on the other Pustejovsky-Wierzbicka “decompositionalism” into primitive semantic units (properties and relations).

  10. We need to come to a practical working agreement about semantic analysis. We’re being guided/driven by our friends and colleagues in computer science and artificial intelligence to do so. They are busily developing commonsense ontologies (Cyc Corp, Teknowledge) and practical reasoners, the “agents” who will work for us behind the scenes in Web transactions, for example, so I recommend that we plunge into this research area w. gusto.

  11. Conclusion: A distributed lexicon, with the parts identified and some parts pre-assembled (e.g., Bird and Bell style N-tuples), others assemblable and presentable on the fly, e.g., the inflectional paradigms for a particular stem.

More Related