Live Translation

Live translation is different from translating a finished transcript.

With a finished transcript, the system already knows:

• the complete sentence
• punctuation
• sentence boundaries
• surrounding context
• what comes next

During live speech, none of those conditions are guaranteed.

Translation while meaning is still forming

Consider:

I don't think we should...
I don't think we should launch...
I don't think we should launch tomorrow.

A translation system receiving the first fragment must decide whether to produce output immediately or wait for additional context.

Producing too early can cause repeated corrections.

Waiting too long creates noticeable latency.

Live translation therefore requires balancing:

• responsiveness
• linguistic context
• translation quality
• stability

Source and translated context

In live applications, source text and translated text are related streams.

A change in the interpretation of the source may also affect the translation.

Applications should therefore avoid assuming that translation is simply a second independent transcript.

Instead:

live speech
     ↓
source context
     ↓
translation context

Both continue evolving while the conversation progresses.

Designed for delivery

The objective of live translation is not merely to eventually produce a correct translated transcript.

It is to allow someone to follow speech in another language while it is happening.

That distinction affects how the entire system should be designed.