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Fi Core News Sm

Developed by spacy
CPU-optimized Finnish language processing pipeline with NLP features including token classification and dependency parsing
Downloads 45
Release Time : 5/2/2022

Model Overview

Small Finnish language model provided by spaCy, supporting basic NLP tasks like POS tagging, named entity recognition, and dependency parsing

Model Features

CPU Optimization
Lightweight model specifically optimized for CPU processing
Comprehensive NLP Components
Includes complete NLP processing components like POS tagger, dependency parser, and named entity recognizer
High-Accuracy POS Tagging
POS tagging accuracy reaches 93.3% (XPOS) and 92.6% (UPOS)

Model Capabilities

POS Tagging
Named Entity Recognition
Dependency Parsing
Lemmatization
Sentence Segmentation
Morphological Analysis

Use Cases

Text Processing
Finnish Text Analysis
Performs grammatical analysis and structural parsing of Finnish text
Can identify dependency relationships between sentence components
Information Extraction
Extracts named entities from Finnish text
NER F-score reaches 76.6%
Linguistic Applications
Morphological Analysis
Analyzes morphological features of Finnish words
Morphological feature accuracy of 86.6%
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