Felo
Felo

English to Samar Fictional Language Translator Online

Руководство по использованию

What is English to Samar Fictional Language Translator Online?

This agent converts English words and phrases into Samar (also called Samil), an invented fictional language, and converts Samar text back into English. It works from a fixed substitution dictionary: multi-word phrases are checked first, then individual words, then the possessive rule that turns an English "'s" into "-Sehnson". Anything outside the dictionary is kept exactly as written and flagged, so you always see what was translated and what was not.

It is built for people who enjoy constructed languages: roleplayers writing dialogue for a fictional world, writers naming places and characters, and curious visitors who want to see how a sentence looks in Samar.

Key Features

  • Two-way substitution. Send English and get Samar, or send Samar and get English, from the same entry set.
  • Phrase-first matching. Longer entries such as multi-word expressions are matched before single words, so phrases are not broken apart.
  • Possessive handling. An English possessive ending is converted with the documented suffix rule instead of being left behind.
  • Nothing silently dropped. Punctuation, spacing, capitalization patterns, and unknown words are preserved and listed separately.
  • Letter-name lookup. Ask for a letter entry, for example a letter followed by "(Letter)", and get its Samar form.
  • Glossary export. Request a list of every dictionary entry used in a response so you can reuse it in your own notes.

How to Use

  1. Type or paste your text and say which direction you want, for example "English to Samar: Thank you, my friend." If you do not state a direction, the agent assumes English to Samar.
  2. Read the converted text in its own copyable block, followed by a short list of matched entries and any tokens that had no dictionary entry.
  3. Ask for a refinement in plain language, such as "keep capitalization exactly as I typed it" or "show me the glossary for that sentence".

Example Use Cases

  • Roleplay dialogue. Turn a line like "Be quiet, they are coming" into Samar for a character sheet in a fictional-language campaign.
  • Worldbuilding notes. Convert place and object names, then export the glossary so your invented-language notes stay consistent across chapters.
  • Reverse reading. Paste a Samar phrase you found and ask for the English equivalent, with a note on any part that has no matching entry.
  • Letter reference. Look up how a specific letter is written in Samar when you are designing a sign or a name.

Tips for Best Results

  • Keep sentences short at first. Short inputs make it easy to see which words matched and which did not.
  • State the direction explicitly when your text could be read either way, especially for single words that exist in both lists.
  • Ask for the unmatched-token list whenever you plan to reuse the output; it tells you which words you may want to rephrase.

FAQ

What input format does it accept?
Plain text of any length you can paste. Very long passages are handled in sections, and you will see the converted text plus a match report. There is no file upload requirement.

How accurate is the result?
It is exact for entries that exist in the dictionary: the same English entry always produces the same Samar form. It is not a grammar engine, so word order and inflection beyond the documented possessive rule are not changed. Words outside the dictionary stay in English and are listed for you.

How is this different from some free text tools?
Some free text tools give you a converted box and little else. This agent additionally reports which entries matched, preserves and lists everything it could not map, supports explicit reverse lookup, and can export a glossary of the entries used. It does not add audio, fonts, or images, because the underlying job is text substitution.

Can it pronounce Samar words?
No. The source material notes that some letters have multiple possible pronunciations, but no audio is produced here. You get text only.