Bahasa Indonesia, Melayu, Filipino
The Unknown Journey Continues... After escaping the city of Midgar, Cloud and his friends set out on a journey across the planet. New adventures await in a vibrant, expansive world in this standalone entry of the FFVII remake trilogy.
The Full Story
Lanjutkan perjalanan Cloud Strife keluar dari tembok Midgar menuju dunia luas yang penuh misteri, di mana takdir bukan lagi harga mati. Dari gemerlap Gold Saucer hingga rahasia kuno bangsa Cetra, bergabunglah dengan tim AVALANCHE dalam petualangan epik yang bakal bikin kalian merinding berkali-kali.
Kenapa harus pakai mod ini? Karena kami nggak cuma asal translate! Kami pakai 8-stage neural pipeline canggih buat mengolah 345.804 kata biar Cloud, Barret, dan Tifa ngomongnya kita banget. Ada slang lokal yang pas, joke yang beneran lucu, dan vibe yang dapet banget tanpa ngilangin rasa orisinalitas gamenya. Kami juga benerin 1.030 error teks biar pengalaman main kalian makin mulus kayak jalan tol. Tinggalkan bahasa kaku, mainkan FF7 Rebirth dengan gaya lokal paling gacor!
Experimental Build
Author's Notes
05-03-2026: Experimental-1 UPLOADED to Nexus Mods.
14-03-2026: Updated to Experimental-2 using newest translation pipeline that includes relationship graph. but sadly I need game files to create PAK. So for now, mod files update is ON HOLD.
=== Audit Teknis & Semantik Lokalisasi FINAL FANTASY VII REBIRTH ===
1. SKALA LINGUISTIK & CAKUPAN
- Skala Proyek: Sekitar 345,804 kata diproses melalui alur neural 8-tahap.
- Cakupan Bahasa: Dukungan trilingual penuh untuk pasar Indonesia, Malaysia, dan Filipina.
- Status Kelengkapan: Indonesia: 96.2%, Malay: 96.6%, Filipino: 95.1%
- Analisis Variasi Leksikal: Source -> Density: 65.4% | Diversity: 4.2%, Indonesia -> Density: 74.7% | Diversity: 5.0%, Malay -> Density: 74.7% | Diversity: 3.8%, Filipino -> Density: 61.2% | Diversity: 4.9%
2. VALIDASI NEURAL & AKURASI
- Skor Keselarasan Semantik (Platt Score): Indonesia: 86%, Malay: 85%, Filipino: 85%
(Skor ini mengukur seberapa akurat terjemahan mempertahankan makna asli dari teks sumber.)
- Gaya Bahasa Karakter: Penyesuaian gaya (gaul, formal, santai) telah diterapkan pada 386 karakter unik.
- Pemulihan Struktur Otomatis (Tag Repair): 1030 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 4.9% 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