anebz/eu-sim
Exploring semantic similarities between contextualized embeddings
This tool helps natural language processing practitioners understand how similar two sentences are, even when the exact words differ. You provide two sentences in one of several supported languages, and it shows you a similarity score and visualization. It's designed for researchers, data scientists, or NLP engineers working with text data and language models.
No commits in the last 6 months.
Use this if you need to quickly compare the semantic meaning of different sentences in multiple languages using various embedding techniques.
Not ideal if you're looking for a production-ready solution for large-scale semantic search or deep text analysis.
Stars
14
Forks
1
Language
HTML
License
—
Category
Last pushed
May 18, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/anebz/eu-sim"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Garrafao/LSCDetection
Data Sets and Models for Evaluation of Lexical Semantic Change Detection
RepoAnalysis/RepoSim
This repository contains experiments on comparing the similarity of Python repositories using ML models.
cod3licious/simec
Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity...
jorge-martinez-gil/uwsd
Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation
cr1m5onk1ng/text_similarity
A nlp library for text similarity based on Transformer models