rosetta-pangloss
by jcgood
Automatically exported from code.google.com/p/rosetta-pangloss
AI summary
Language alignment tool
A Python library that uses machine learning and natural language processing to improve translation accuracy by aligning source and target languages
- stars
- 0
- forks
- 0
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Speech alignment tool
Scripts for aligning laboratory speech production data in Inuktitut
Alignment library
A Ruby library implementing an alignment algorithm for corpus linguistics
Sentence aligner
Automates the process of extracting parallel sentences from comparable corpora to aid in statistical machine translation
Alignment tools
A collection of tools and resources for computing forced alignments between audio files and transcripts.
Template analyzer
A collection of tools and data for exploring linguistic templates
Multimodal alignment model
Extending pretraining models to handle multiple modalities by aligning language and video representations
Model alignment
This project demonstrates the effectiveness of reinforcement learning from human feedback (RLHF) in improving small language models like GPT-2.
Translation manager
A tool to facilitate translation processes in Django projects
Sentence aligner
A toolkit providing ready-to-use parallel text sentence alignment tools for multiple language pairs.
Model aligner
Aligns large multimodal models with human intentions and values using various algorithms and fine-tuning methods.
Text alignment tool
A Python-based tool for aligning multi-line and multiple selections in text editors
Spatial alignment tool
A software package for aligning single-cell spatial omics data using deep learning and graph neural networks
Text aligner
Automates text extraction and alignment from Global Voices articles to create parallel corpora for low-resource languages.
Data preparation toolset
A package of scripts to prepare data for alignment in speech processing
Language embedding aligner
Enables alignment of word embeddings across multiple languages to facilitate cross-lingual text analysis and machine learning tasks
