Bahasa Indonesia, Melayu, Filipino
Memuat data interpretasi naratif secara real-time...
The Full Story
Jadilah pengacara legendaris Phoenix Wright dan selamatkan klienmu dari vonis bersalah dalam 14 kasus epik dari trilogi aslinya. Cari bukti, bongkar kebohongan saksi, dan teriakkan Objection! di ruang sidang yang penuh drama. Mod ini bukan sekadar terjemahan biasa; ada 574.222 kata yang diolah pake pipeline neural 8 tahap biar gaya bahasanya gak kaku dan bener-bener berasa lokal. Dari celetukan Maya Fey yang santai sampe omongan detektif Gumshoe yang khas, semuanya dikemas pake vibe yang pas buat kita, bikin setiap misteri di Kurain sampe DL-6 makin berkesan!
Experimental Build
Author's Notes
=== Audit Teknis & Semantik Lokalisasi ACE ATTORNEY TRILOGY ===
1. SKALA LINGUISTIK & CAKUPAN
- Skala Proyek: Sekitar 574,222 kata diproses melalui alur neural 8-tahap.
- Cakupan Bahasa: Dukungan trilingual penuh untuk pasar Indonesia, Malaysia, dan Filipina.
- Status Kelengkapan: Indonesia: 97.8%, Malay: 98.4%, Filipino: 97.4%
- Analisis Variasi Leksikal: Source -> Density: 68.1% | Diversity: 2.9%, Indonesia -> Density: 76.6% | Diversity: 4.1%, Malay -> Density: 76.8% | Diversity: 3.3%, Filipino -> Density: 67.3% | Diversity: 3.9%
2. VALIDASI NEURAL & AKURASI
- Skor Keselarasan Semantik (Platt Score):
(Skor ini mengukur seberapa akurat terjemahan mempertahankan makna asli dari teks sumber.)
- Gaya Bahasa Karakter: Penyesuaian gaya (gaul, formal, santai) telah diterapkan pada 60 karakter unik.
- Pemulihan Struktur Otomatis (Tag Repair): 21012 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.
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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