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Record Nr. |
UNINA9910141562803321 |
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Titolo |
LMF [[electronic resource] ] : Lexical Markup Framework / / edited by Gil Francopoulo |
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Pubbl/distr/stampa |
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ISBN |
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1-118-71259-5 |
1-118-71269-2 |
1-118-71266-8 |
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Descrizione fisica |
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1 online resource (283 p.) |
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Collana |
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Computer engineering and IT series |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Lexicology - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Blank Page; Blank Page; Title Page; Contents; Preface; Chapter 1. LMF - Historical Context and Perspectives; 1.1. Introduction; 1.2. The context; 1.3. The foundations: the Grosseto Workshop and the "X-Lex" projects; 1.4. EAGLES and ISLE; 1.5. Setting up methodologies and principles for standards; 1.5.1. The MILE methodology: toward LMF; 1.6. EAGLES/ISLE legacy; 1.6.1. Lessons learned for standard design; 1.6.2. Moving closer to LMF; 1.7. Interoperability: the keystone of the field; 1.8. Bibliography; Chapter 2. Model Description; 2.1. Objectives; 2.2. The ISO specification |
2.3. Means of description2.4. Core model; 2.5. Core model and extension packages; 2.6. Morphology extension; 2.7. Machine-Readable Dictionary extension; 2.8. NLP syntax extension; 2.9. NLP semantic extension; 2.10. Multilingual notation extension; 2.11. NLP morphological pattern extension; 2.12. NLP multiword expression pattern extension; 2.13. Constraint expression extension; 2.14. Conclusion; 2.15. Bibliography; Chapter 3. LMF and the Data Category Registry: Principlesand Application; 3.1. Introduction; 3.2. Data category specifications; 3.2.1. Data model; 3.2.2. Persistent identifiers |
3.2.3. Standardization3.3. The ISOcat Data Category Registry; 3.3.1. A web user interface; 3.3.2. Communities; 3.4. LMF and data categories; 3.4.1. Data category selections; 3.4.2. Referring to data categories; 3.4.3. Standardizing data categories; 3.5. Conclusions and future work; |
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