📅 2024-09-12 — Session: Developed Spanish NLP Parser
🕒 00:15–01:05
🏷️ Labels: Spacy, NLP, Spanish, Parser, Entity Extraction
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to enhance natural language processing capabilities by developing a parser for Spanish sentence structures using spaCy.
Key Activities
- Installed the Spanish language model (
es_core_news_sm) in spaCy. - Analyzed sentence structures and dependencies, focusing on identifying key components such as subjects, actions, and locations.
- Developed and updated parser logic to improve entity extraction accuracy in Spanish sentences.
- Implemented a smart parser design utilizing dependency parsing and named entity recognition (NER).
Achievements
- Successfully installed and ran the Spanish language model in spaCy.
- Enhanced parser logic for better accuracy in identifying sentence components.
- Created a workflow for structured data extraction from Spanish sentences.
Pending Tasks
- Further testing and refinement of the parser with diverse Spanish text samples to ensure robustness.