Bahasa Indonesia, Melayu, Filipino
Arthur Morgan and the Van der Linde Gang are outlaws on the run. With federal agents and bounty hunters massing on their heels, the gang must rob, steal, and fight their way across the rugged heartland in order to survive.
The Full Story
Red Dead Redemption 2 adalah puncak karya seni video game yang menceritakan perjalanan tragis Arthur Morgan. Tapi main game koboi kok bahasanya kayak buku teks sekolah? Gak dapet 'feel'-nya, kan? Mod lokalisasi ini hadir sebagai solusi dengan menerjemahkan 1,5 juta kata lebih ke dalam Bahasa Indonesia, Melayu, dan Filipino yang sangat mementingkan slang lokal dan dinamika sosial geng Van der Linde.
Jangan harap terjemahan kaku ala Google Translate! Gue pake pipeline neural 8-tahap yang super canggih buat mastiin Arthur manggil kudanya pake 'boah' dengan rasa lokal yang pas. Skor akurasinya tembus 82% dan ada ribuan error yang udah gue benerin lewat automation. Baik lo lagi hunting di Heartlands atau lagi berantem di Valentine, dialognya bakal terasa kayak omongan preman outlaw beneran. Buruan pasang mod ini, kumpulin gold bar-nya, dan liat gimana Dutch ngerayu lo buat ke Tahiti pake bahasa kita sendiri. Jangan mau jadi korban rencananya Dutch tanpa ngerti maksud aslinya!
Experimental Build
Author's Notes
Updated to alpha-3. Updated pipeline backend. Of course RAMPAGE IS SUPPORTED.
=== Audit Teknis & Semantik Lokalisasi RED DEAD REDEMPTIONS 2 ===
1. SKALA LINGUISTIK & CAKUPAN
- Skala Proyek: Sekitar 1,514,988 kata diproses melalui alur neural 8-tahap.
- Cakupan Bahasa: Dukungan trilingual penuh untuk pasar Indonesia, Malaysia, dan Filipina.
- Status Kelengkapan: Indonesia: 99.0%, Malay: 99.2%, Filipino: 98.4%
- Analisis Variasi Leksikal: Source -> Density: 66.7% | Diversity: 1.6%, Indonesia -> Density: 78.2% | Diversity: 1.8%, Malay -> Density: 78.6% | Diversity: 1.4%, Filipino -> Density: 64.7% | Diversity: 2.0%
2. VALIDASI NEURAL & AKURASI
- Skor Keselarasan Semantik (Platt Score): Indonesia: 82%, Malay: 81%, Filipino: 78%
(Skor ini mengukur seberapa akurat terjemahan mempertahankan makna asli dari teks sumber.)
- Gaya Bahasa Karakter: Penyesuaian gaya (gaul, formal, santai) telah diterapkan pada 0 karakter unik.
- Pemulihan Struktur Otomatis (Tag Repair): 2801 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 2.3% 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