Game-Translator
Octopath Traveler I Mod
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LOCALIZATION MOD
WATERMARKED vExperimental-1 Austronesian Lang

Octopath Traveler I Mod Octopath Traveler I Mod

Bahasa Indonesia, Melayu, Filipino

Memuat data interpretasi naratif secara real-time...

Product Narrative

The Full Story

This game archetype was made by Fendra Agusman.

Current Milestone

Experimental Build

Author's Notes


Attention: This version contains 5.1% watermarks. Support this project on Trakteer or Ko-fi to download NON-WATERMARKED version.

Comments

Max 2000 chars · 10/hour · Change name via the chat icon

Linguistic Analysis Report

Stylometric Register Analysis

Discourse analysis using Gemma embeddings. Classifies rhetorical register across the corpus to ensure tonal consistency with source narrative assets.

Casual
48.2%
Standard
16.9%
Formal
34.8%
Emotional Spectrum

Emotional tone mapped via dot-product similarity between extracted dialog embeddings and predefined sentiment anchors using zero-shot semantic alignment.

Positive/Warm
31.3%
Stoic/Restrained
24.6%
Neutral/Functional
19.5%
Complex/Ambivalent
14.2%
Negative/Intense
10.4%
Archetypes
30 detected
Cyrus
8.0%
Tressa
6.5%
Therion
6.4%
Alfyn
6.0%
Olberic
5.4%
Primrose
5.3%
Ophilia
4.8%
H'aanit
4.5%
Orewell Apothecary
2.9%
Townsperson
2.7%
Villager
1.9%
Merchant
1.7%
Lianna
1.6%
Guard
1.6%
Ali
1.6%
Ui
1.1%
Npc
0.8%
Tavern Patron
0.7%
???
0.6%
Old Man
0.5%
Elderly Woman
0.5%
Zeph
0.4%
Captain Leon
0.4%
Cordelia
0.4%
Eliza
0.4%
Laborer
0.4%
Odette
0.4%
Barker
0.4%
Aristocrat
0.4%
Natalia
0.3%

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.

ID
Indonesian
24,401 / 24,984 lines
98%
Semantic Sim.
87 %
Lex. Density
70.9 %
src
61.8%
Lex. Diversity
4.8 %
src
3.9%
MS
Malay
24,505 / 24,984 lines
98%
Semantic Sim.
85 %
Lex. Density
70.5 %
src
61.8%
Lex. Diversity
3.7 %
src
3.9%
TL
Tagalog
24,229 / 24,984 lines
97%
Semantic Sim.
84 %
Lex. Density
59.6 %
src
61.8%
Lex. Diversity
4.5 %
src
3.9%

* Sim = Cosine Similarity (Vector Space) · Density = Content/Total Tokens · Diversity = TTR (Type-Token Ratio) · "src" = Source Baseline · Named Entities enforced via GLiNER mining.

Corpus Volume & Metrics
74,913 Token Lines
Src Density
61.8%
Src Diversity
3.9%
Syntactic Error Report

Heuristic markup verification utilizing multi-pass validation and correction to ensure syntactical integrity of control codes and visual tags.

3132
Mismatch
3124
Fixed
8
Partial

Name

Label
Retrieving Portrait...
Narrative Profile

Associated Entities
Semantic Archetypes

NLP Pipeline Intelligence

Featured Preview Auto-Detected

Line Identity 0
Source (English)
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Indonesian (ID)
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Malay (MS)
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Tagalog (TL)
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Pipeline Receipts

Splitter (S0) 2026-03-19 21:20
Merger (S7) 2026-03-19 14:44
Tag Repair (S6) 2026-03-18 16:51
Validator (S5) 2026-03-18 15:13
Corrector (S3) 2026-03-18 14:48
Re-Import (S4) 2026-03-18 14:48
Translator (S2) 2026-03-18 14:41
Tagger (S1) 2026-03-18 10:26

Released Archive

Austronesian Showcase

Location
Image
Video