File size: 1,615 Bytes
7118729 | 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 | # NLP-3.5 — Text Processing Strategy
## Problem
AraSpell processes text word-by-word with beam search decoding.
Each word takes ~700ms. This means:
| Text Size | Words | AraSpell Time | Feasible? |
|-----------|-------|---------------|-----------|
| 50 chars | 7 | 4.8s | ✅ |
| 100 chars | 14 | 9.2s | ✅ |
| 250 chars | 35 | 26.0s | ⚠️ Slow |
| 500 chars | 70 | ~49s (est.) | ❌ Too slow |
| 1000 chars | 140 | ~98s (est.) | ❌ Timeout risk |
| 5000 chars | 700 | ~490s (est.) | ❌ Impossible |
## Solution: Adaptive Processing
### Short Text (0–300 chars)
Full pipeline:
```
AraSpell → Grammar → Punctuation
```
All three models run. Maximum expected latency: ~40s.
### Medium Text (300–1000 chars)
Skip AraSpell:
```
Grammar → Punctuation
```
Grammar and Punctuation handle the text. Expected latency: ~28s.
### Large Text (1000+ chars)
Skip AraSpell:
```
Grammar → Punctuation
```
Same strategy as medium. Expected latency: ~30-34s.
## Implementation
```python
# In /api/analyze
text_len = len(current_text)
run_spelling = text_len <= 300
if not run_spelling:
logger.info(f"Text length {text_len} > 300 — skipping AraSpell")
```
## Rationale
- Grammar catches most errors that AraSpell would find in long texts
- Punctuation is independent of spelling
- Users get fast feedback on long texts instead of timeouts
- Short texts still get full spelling correction
## Results
| Text Size | Before | After |
|-----------|--------|-------|
| 500 chars | >180s TIMEOUT | 28.2s ✅ |
| 1000 chars | Would timeout | 28.1s ✅ |
| 2000 chars | Would timeout | 33.8s ✅ |
|