Felo
Felo

English Dunmeri Translator Online

Usage Guide

What is English Dunmeri Translator Online?

English Dunmeri Translator Online is a conversational tool for converting English text into Dunmeri vocabulary and back again. It works from a paired word and phrase list of the kind used by fan-made Elder Scrolls language pages: common English words such as "family" and "houses" have Dunmeri counterparts, and longer expressions such as "thank you" or "to walk" are handled as whole phrases. You type a sentence, the agent substitutes what it can, leaves the rest intact, and tells you which entries it used.

Key Features

  • Two-way substitution. Send English and get Dunmeri, or send Dunmeri and get English. The agent detects direction from your wording or from an explicit request.
  • Longest-phrase-first matching. Multi-word phrases are checked before single words, so "fire river" is treated as one entry rather than two separate words.
  • Nothing silently deleted. Words with no dictionary entry stay in the output exactly as you wrote them, and the agent lists them as unmatched.
  • Match glossary. After the converted text, you get a short table of which English terms mapped to which Dunmeri terms.
  • Random example sentences. Ask for a sample sentence and the agent builds one from the embedded pairs so you can see the vocabulary in action; this draws only on the limited embedded vocabulary.

How to Use

  1. Type your text and say which direction you want, for example "English to Dunmeri: the family walks to the fire river." If you do not state a direction, the agent assumes English to Dunmeri unless the input is clearly Dunmeri vocabulary.
  2. Read the converted text in the code block first. Below it you will find the matched pairs and any words that had no entry.
  3. Ask for a revision, a reverse conversion, or a random sentence. You can paste the Dunmeri output back and ask for English to check the round trip.

Example Use Cases

  • Fan fiction dialogue. Convert a line such as "thank you, my family" into Dunmeri forms for a Morrowind-inspired scene, then keep the glossary as a reference note.
  • Character and place naming. Test English words like "year", "seas" or "heavens" to see which have Dunmeri counterparts before you settle on a name.
  • Roleplay and tabletop handouts. Produce short Dunmeri-flavored phrases for signs, greetings and inscriptions, with a clear list of what was translated and what was left in English.

Tips for Best Results

  • Put each sentence on its own line. The agent converts line by line and reports matches per line, which makes long passages easier to check.
  • Keep punctuation and capitalization as you want them in the output; the agent preserves surrounding text rather than normalizing it. A matched span is replaced by the entry's stored form, so its case follows the entry, not your input.
  • Treat the result as fan vocabulary, not a natural language. Grammar, word order and inflection are not modeled, so a literal substitution will read as English word order with Dunmeri words.

FAQ

What input format does it accept?
Plain text, one or more lines. There is no hard character limit in the conversation, but very long passages are best sent in sections so the match glossary stays readable.

How accurate is the translation?
It is exact for entries that exist in the embedded paired list: a listed word or phrase maps to its listed counterpart. The embedded list is a limited sample of the source's full paired vocabulary, so many source entries are not available here. Anything outside the embedded list is preserved unchanged and flagged. It does not invent new Dunmeri words, and it does not apply grammar rules.

How is this different from a bare two-box page?
This agent states the precedence rule, preserves unmatched text, and returns a glossary so you can audit the result. It is a conversation, not a live two-panel page, so you request each conversion explicitly.

Can it translate a whole paragraph of Dunmeri back to English?
Yes, for entries present in the embedded paired list. Reverse matching uses the same longest-phrase-first rule. Phrase entries match only as whole phrases, so a phrase does not license its component words. Words that are not in the list remain as they are and are reported as unmatched.