[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
한국어 STT 출력의 CER, WER, CRR, 키워드·개체명·코퍼스 평가를 제공하는 Python 패키지
Python implementation of METEOR
Source code for a blogpost on text quality evaluation, with metrics for spelling/typing errors and unknown words, alongside a method to analyze unstructured text, prioritizing descriptive measures as the first step towards ongoing data improvement, while considering lexical diversity, hapaxes legomena, jargon, and abbreviations.
A Streamlit web app that uses a Groq-powered LLM (Llama 3) to act as an impartial judge for evaluating and comparing two model outputs. Supports custom criteria, presets like creativity and brand tone, and returns structured scores, explanations, and a winner. Built end-to-end with Python, Groq API, and Streamlit.
Python tool to evaluate Automatic Speech Recognition (ASR) outputs by calculating Word Error Rate (WER) for multiple models. Ideal for NLP research, ASR benchmarking, and improving transcription accuracy.
A modern Angular frontend application that provides a user-friendly interface for text analysis tools.
Chrome extension of the ELLE Writing Evaluator tool for Estonian language texts. It corrects spelling errors, assesses the proficiency level, complexity and lexical diversity.
NLP model to evaluate quality of student-written summaries — Kaggle competition
🛠️ Evaluate unified models effortlessly with ULMEvalKit, your open-source toolkit for comprehensive image generation benchmarks and streamlined workflows.
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