Darío Metola Rodríguez
Biographic Data
| ID | 8673886 |
|---|---|
| NAME | Darío Metola Rodríguez |
| GIVEN NAMES | Darío Metola |
| FAMILY NAME | Rodríguez |
| SIGNATURE | RODRÍGUEZ D M |
| AFFILIATIONS | Universidad de La Rioja |
| ORCID | 0000-0002-7980-7098 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Outperforming Multilingual Models
We evaluate a Stanza-based pipeline for Old English that combines character-level processing with language-specific word embeddings derived from the Dictionary of Old English Corpus. On a 25,000-word dataset annotated with Universal Dependencies, character-level models yield consistent gains over token-based variants for lemmatization and dependency parsing (test UAS 88.92 per cent; LAS 79.65 per cent). Relative to a multilingual baseline for Old…
From traditional to electronic lexicography
The aim of this article is to review the standard dictionaries of Old English from the perspective of the evolution from traditional lexicography to electronic lexicography and to fnd the similarities and diferences, together with their pros and cons. The ultimate purpose is to fnd which of these four dictionaries is more suitable for linguistic research in Old English for scholars in the feld. An Anglo-Saxon Dictionary (Bosworth and Toller in Ox…
No prominent works on this page.
From traditional to electronic lexicography
The aim of this article is to review the standard dictionaries of Old English from the perspective of the evolution from traditional lexicography to electronic lexicography and to fnd the similarities and diferences, together with their pros and cons. The ultimate purpose is to fnd which of these four dictionaries is more suitable for linguistic research in Old English for scholars in the feld. An Anglo-Saxon Dictionary (Bosworth and Toller in Ox…
Outperforming Multilingual Models
We evaluate a Stanza-based pipeline for Old English that combines character-level processing with language-specific word embeddings derived from the Dictionary of Old English Corpus. On a 25,000-word dataset annotated with Universal Dependencies, character-level models yield consistent gains over token-based variants for lemmatization and dependency parsing (test UAS 88.92 per cent; LAS 79.65 per cent). Relative to a multilingual baseline for Old…
Artificial Intelligence (1 work) · Authorship Attribution and Profiling (1 work) · Classics (1 work) · Computer Science (1 work) · Dependency grammar (1 work) · Historical Linguistics and Language Studies (1 work) · History (1 work) · Lemmatisation (1 work) · Lexicography (1 work) · Lexicography and Language Studies (1 work)