Iu Mien · Mienh waac · ~800K speakers · 2.6M Yao community

Speak Mien.
Translate Mien.
Preserve Mien.

A free translator, a community dictionary, and a 20-level course for Iu Mien.

179k parallel pairs/Iu Mien (Latin)/chrF 62 · v7
Liveium_Latn → eng
Input
Yie hnamv lungh ndiev nyei mienh
Translation
I love the people of the world.
chrF 62 · BLEU 47Open
Yie hnamv meih→I love youYunnan·Meih nyei mbuox heuc haaix nyungc→What is your nameChiang Rai·Mbuo aengv yiem haaix→Where are wePhongsali·Lungh ndorm zoux longx→Good morningLào Cai·Tov korv lienh→Please forgiveSacramento·Laengz zingh→Thank youGuangxi·Yie nyei biauv→My homeNan·Mienh ndaauh nyei zaangc→Mien hands of workLuang Namtha·Hnoi nyieqc longx→Have a good dayParis·Bun yie mangc→Let me seePortland·Yie hnamv meih→I love youYunnan·Meih nyei mbuox heuc haaix nyungc→What is your nameChiang Rai·Mbuo aengv yiem haaix→Where are wePhongsali·Lungh ndorm zoux longx→Good morningLào Cai·Tov korv lienh→Please forgiveSacramento·Laengz zingh→Thank youGuangxi·Yie nyei biauv→My homeNan·Mienh ndaauh nyei zaangc→Mien hands of workLuang Namtha·Hnoi nyieqc longx→Have a good dayParis·Bun yie mangc→Let me seePortland·
What it does
  1. 01
    Translates Iu Mien.
    Bidirectional with English in the standard Latin orthography.
  2. 02
    Teaches with hearts and XP.
    Gamified lessons. Drag to match, free translation, multiple choice.
  3. 03
    Preserves what's nearly lost.
    179k parallel sentences scraped, cleaned, and aligned for training.

Three doorways in.

Pick one
Benchmarks

How it stacks up.

chrF scores how close a translation is to a human one: 0 unrelated, 100 identical. Even human translators cap near 80, since everyone phrases things differently.

Read the bars from short to long. Longer is better.

Our v7 model lands at 62: fluent enough to read for meaning, occasional small errors, clearly past every published baseline for Mien.

Trained on William & Mary's SciClone HPC cluster.

NLLB baseline
8
Avg low resource MT
28
Learn Iu Mien
62
Human translator
78
chrF 0–20
Garbled
chrF 20–40
Rough
chrF 40–60
Useful
chrF 60–80
Fluent

Built in three steps.

Plain English
01

Gather.

179k parallel Mien sentences, cleaned, deduplicated, and aligned to the unified Latin orthography.

02

Train.

Fine tuned Meta's NLLB 1.3B over seven iterations with LoRA on a single A30 GPU. Each pass corrected the weak spots from the last.

03

Evaluate.

The v7 model scores chrF 62 ium → eng on a held-out test set.

Begin

Carry the words
forward.

Free forever. No ads. The goal is one centralized curriculum the whole community can lean on.