Hugging Face's logo

Spaces:
root-semantic-research
/
README
Running

App Files Community
README
File size: 2,846 Bytes 
226d443
0c01bef
 
 
 
226d443
 
 
 
0c01bef
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
 
---
title: Root Semantic Research
emoji: 🌿
colorFrom: green
colorTo: blue
sdk: static
pinned: false
---

<div align="center">

# 🌿 Root Semantic Research

**Pioneering linguistic efficiency in artificial intelligence**

[![GitHub](https://img.shields.io/badge/GitHub-root--semantic--research-181717?logo=github&style=for-the-badge)](https://github.com/root-semantic-research)
[![Research Paper](https://img.shields.io/badge/πŸ“„_Read-White_Paper-blue?style=for-the-badge)](https://github.com/root-semantic-research/semantic-compression-layer/blob/main/ROOT_COMPRESSION_WHITEPAPER.md)

</div>

---

## 🎯 Our Mission

We research and develop **linguistically-grounded optimization techniques** for Large Language Models, focusing on how ancient linguistic structures can solve modern computational challenges.

---

## πŸ”¬ Core Research: Semantic Compression Layer

Our flagship project explores using **Arabic morphological structure** as an intermediate representation layer for LLMs.

### The Problem

Current tokenizers fragment text inefficiently, creating a **"Token Tax"** that:
- Inflates compute costs **quadratically**
- Disadvantages 160+ high-fertility languages  
- Wastes billions in training/inference costs

### Our Solution

Arabic's 1,400-year-old root system offers a mathematical framework for semantic compression:

```
Ωƒ-Ψͺ-Ψ¨ (k-t-b) = "writing"
    β”‚
    β”œβ”€ ΩƒΩŽΨͺَبَ   wrote
    β”œβ”€ كِΨͺَاب  book
    β”œβ”€ ΩƒΩŽΨ§Ψͺِب  writer
    β”œβ”€ Ω…ΩŽΩƒΩ’Ψͺُوب written
    └─ Ω…ΩŽΩƒΩ’Ψͺَبَة library

One root β†’ Many meanings
```

**Expected Impact:**
- 🎯 **30-50%** token reduction
- ⚑ **Up to 75%** compute savings
- 🌍 Language-agnostic at the user level

---

## πŸ“¦ Coming Soon to Hugging Face

We're working on releasing:

| Type | Description | Status |
|------|-------------|--------|
| πŸ€– **Models** | Root-compressed LLM variants | πŸ”¬ In Research |
| πŸ“Š **Datasets** | Arabic root-to-concept mappings | πŸ“‹ Planned |
| πŸš€ **Spaces** | Interactive compression demos | πŸ“‹ Planned |

---

## 🀝 Get Involved

We're an **open research initiative** seeking collaborators:

- **πŸ”€ Linguists** β€” Arabic morphology experts to validate mappings
- **πŸ€– ML Engineers** β€” Tokenizer training & model fine-tuning
- **πŸ“Š Researchers** β€” Experiment design & benchmarking
- **⚑ Systems Engineers** β€” Inference optimization

---

## πŸ“š Publications

- **[White Paper: Root-Based Semantic Compression](https://github.com/root-semantic-research/semantic-compression-layer/blob/main/ROOT_COMPRESSION_WHITEPAPER.md)** (January 2026)
  - *Leveraging Arabic Morphological Structure as an Optimization Layer for LLMs*

---

<div align="center">

*Making AI more efficient through linguistic insight*

**Open Research β€’ Open Source β€’ Open Collaboration**

</div>