Bahasa Indonesia, Melayu, Filipino
Love, fight, scheme, and claim greatness. Determine your noble house’s legacy in the sprawling grand strategy of Crusader Kings III. Death is only the beginning as you guide your dynasty’s bloodline in the rich and larger-than-life simulation of the Middle Ages.
The Full Story
Crusader Kings 3 itu ibarat sinetron keluarga paling 'dark' tapi settingnya zaman kerajaan, di mana kamu bisa jadi Sultan jenius atau kaisar gila yang doyan nikahin sepupu sendiri demi warisan. Masalahnya, sistem game ini ribet banget, banyak istilah Inggris kuno yang bikin pusing tujuh keliling pas lagi mau nyusun strategi Casus Belli.
Nah, daripada puyeng, mending pake mod lokalisasi hasil kerja keras bagai kuda ini! Gue udah terjemahin 1,5 JUTA KATA pake 'ilmu hitam' AI 8-tahap biar bahasanya berasa natural dan gak kaku. Gak ada lagi istilah kata-kata yang bikin bingung, semua sudah disesuaikan ke Bahasa Indonesia, Melayu, dan Filipina dengan style yang dinamis. Mau denger kaisar ngomong formal? Ada. Mau denger petani ngomong gaul/kasar? Bisa banget! Pokoknya CK3 rasa lokal ini bakal bikin pengalaman mabar atau main solo kalian makin epik bin nagih!
Experimental Build
Author's Notes
This game is very text heavy. So maybe there are a lot of writing errors. Alas, this game is one of grand strategy masterpiece. Please try it.
=== Audit Teknis & Semantik Lokalisasi CRUSADER KINGS 3 ===
1. SKALA LINGUISTIK & CAKUPAN
- Skala Proyek: Sekitar 1,589,775 kata diproses melalui alur neural 8-tahap.
- Cakupan Bahasa: Dukungan trilingual penuh untuk pasar Indonesia, Malaysia, dan Filipina.
- Status Kelengkapan: Indonesia: 95.0%, Malay: 95.9%, Filipino: 93.7%
- Analisis Variasi Leksikal: Source -> Density: 67.1% | Diversity: 4.3%, Indonesia -> Density: 74.0% | Diversity: 4.9%, Malay -> Density: 72.9% | Diversity: 4.3%, Filipino -> Density: 60.3% | Diversity: 4.3%
2. VALIDASI NEURAL & AKURASI
- Skor Keselarasan Semantik (Platt Score): Indonesia: 99%, Malay: 99%, Filipino: 99%
(Skor ini mengukur seberapa akurat terjemahan mempertahankan makna asli dari teks sumber, tapi melihat skor nya mendekati 100% kemungkinan ada kesalahan dalam kalibrasi variabel Platt.)
- Gaya Bahasa Karakter: Penyesuaian gaya (gaul, formal, santai) telah diterapkan pada 163 karakter unik.
- Pemulihan Struktur Otomatis (Tag Repair): 35339 tag kode game telah dipulihkan secara presisi.
3. KAPABILITAS ENGINE
- Pipeline: Austronesian Localization System (Neural LoRA-Adaptive Architecture).
- Pengenalan Entitas: Ekstraksi penuh untuk terminologi spesifik game dan konstanta lore.
Attention: This version contains 2.9% watermarks. Support this project on Trakteer or Ko-fi to download NON-WATERMARKED version.
Linguistic Analysis Report
Discourse analysis using Gemma embeddings. Classifies rhetorical register across the corpus to ensure tonal consistency with source narrative assets.
Emotional tone mapped via dot-product similarity between extracted dialog embeddings and predefined sentiment anchors using zero-shot semantic alignment.
DISCLOSURE: Profiling data generated algorithmically via zero-shot inference and semantic vector alignment. Represents AI interpretation of the dataset corpus, not explicit ground-truth statistics from the underlying game engine or internal metrics. Use as a heuristic guide for context mapping.
Cross-Lingual Quality Matrix
Semantic alignment quantified via Multilingual E5 Large Instruct (RoBERTa based) bitext mining. NER entities preserved using GLiNER heuristic extraction protocols to maintain terminological invariance.
* Sim = Cosine Similarity (Vector Space) · Density = Content/Total Tokens · Diversity = TTR (Type-Token Ratio) · "src" = Source Baseline · Named Entities enforced via GLiNER mining.
Heuristic markup verification utilizing multi-pass validation and correction to ensure syntactical integrity of control codes and visual tags.
Name
Narrative Profile
Associated Entities
Semantic Archetypes
NLP Pipeline Intelligence