The ACCFELE project addresses a scarcity of applied studies and research materials in Spanish as a foreign language phonetics. This dataset contains a battery of phonetic errors made by learners of Spanish as a foreign language from nine different native languages, categorized using the ACCFELE taxonomy. The dataset was authored by Ana Blanco Canales and last updated on October 14, 2025.
Use Cases
- Analyzing phonetic interference patterns based on the learner's native language
- Developing pronunciation training tools based on categorized error types
- Comparing error frequencies across different language groups mentioned in the description
- Validating or extending the ACCFELE phonetic error taxonomy
Strengths
- Data is structured using a specific taxonomy (ACCFELE) for phonetic error categorization
- Covers learners from nine distinct native languages (Russian, German, English, Greek, Japanese, French, Portuguese, Arabic, Chinese)
- Dataset was updated on October 14, 2025
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment for large-scale modeling
- Description metadata is limited; actual data quality requires manual inspection after download
Provenance
- Source
- Ana Blanco Canales via e-cienciaDatos Harvested Dataverse
- Collection Method
- Likely collected from learners of Spanish as a foreign/second language, categorized using the ACCFELE taxonomy.
- Time Range
- null
- Freshness
- Last updated 2025-10-14 21:39:08; freshness should be verified
- Geography
- null