argos-mongolian

🇲🇳 Argos Translate Mongolian Models (v1.1.0)

High-speed, offline neural translation packages (.argosmodel) for Argos Translate and LibreTranslate, specifically optimized for Mongolian ↔ English translation.

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🚀 What's New in v1.1.0 (October 20, 2026)

• Updated en-mn.argosmodel: Replaced with the clean deterministic subword checkpoint (Step 5).
• Zero <unk> Glitches: Eliminates subword sampling noise and broken tokens on standard queries.
• Fixed IT & Conversational Terminology:
  • "Bug fixing" ➔ Алдаа засах (fixed package mistranslation).
  • "Database migration completed" ➔ Өгөгдлийн сангийн шилжилт бүрэн дууссан.
  • Proper future tense handling ("I have a meeting tomorrow" ➔ Би маргааш уулзалттай байна).

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📦 Packages Available

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🛠️ Installation & Usage

1. Using Argos Translate CLI

# Install the models
argos-translate-cli install-package en-mn.argosmodel
argos-translate-cli install-package mn-en.argosmodel

# Translate English to Mongolian
argos-translate-cli translate --from en --to mn "Where is the hotel?"
# Output: Зочид буудал хаана байна?

# Translate Mongolian to English
argos-translate-cli translate --from mn --to en "Би програм хангамжийн инженерээр ажилладаг"
# Output: I work as a software engineer

2. Python API

import argostranslate.package
import argostranslate.translate

# Install packages
argostranslate.package.install_from_path("en-mn.argosmodel")

# Translate
installed_languages = argostranslate.translate.get_installed_languages()
from_lang = list(filter(lambda x: x.code == "en", installed_languages))[0]
to_lang = list(filter(lambda x: x.code == "mn", installed_languages))[0]
translation = from_lang.get_translation(to_lang)

print(translation.translate("Good morning."))
# Өглөөний мэнд.

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🧠 Architecture & Training

• Framework: OpenNMT-py + SentencePiece tokenization.
• Inference Engine: CTranslate2 (Float16 quantized).
• Latency: <25ms per sentence on standard CPU hardware.
• License: Apache 2.0.