Polish and English in one note: will AI preserve the meaning?

What the note actually says about the part

Suppose a service record contains this note: “Replacement part ordered. ETA nadal do potwierdzenia. Klient prosi o update po potwierdzeniu terminu.” ETA means estimated time of arrival, here referring to the part. The Polish text says the estimate still needs confirmation and the customer wants an update once the timing is confirmed.

A summary saying “The replacement part is on its way to the customer” changes the status. A useful version reads: “The replacement part has been ordered. Its estimated arrival still needs confirmation. The customer requests an update once the timing is confirmed.” The coordinator can use that account when handing the case to a colleague, who can also see what information remains outstanding.

A team working across Polish and English may need the summary in either language. Both versions need to preserve the distinction between ordering and shipping, along with the condition for providing an update. The application prepares text for review; the note itself does not trigger a customer message or promise.

A glossary helps with names

If employees use several names for the same part, an approved glossary can make editing easier. It helps preserve company terminology and explain abbreviations without replacing the whole tool. For short, repetitive notes, also consider whether a simpler form would make it easier to record the order and the wait for a delivery estimate.

Microsoft describes Translator’s dynamic dictionary as a way to supply known translations for proper names and product-name phrases, with English as one of the languages. That assists with terminology. It does not resolve negation or determine whether an event is completed, planned, or conditional.

Once terminology is agreed, examine the sentences as a whole. In our example, the part name could be translated perfectly while “ordered” is still summarized as shipped. The team needs a tool that preserves the entry’s meaning even when its author switches languages mid-sentence.

Try the existing model first

Before additional training, define the task clearly: a short summary based on the specified note, preserving the status of the case. Then assess the available model with the agreed glossary. If reviewers rarely have to correct its meaning, adaptation may be unnecessary.

When mistakes persist, concrete corrections from employees who understand both languages and the service work are useful. They can explain whether a problem concerns a name, an abbreviation, or an omitted condition. If the note is unclear to them too, its author needs to clarify it. Further training cannot supply a missing delivery confirmation.

Fine-tuning means training an existing model further using examples of the intended task result. AWS describes supervised model adaptation using labeled input and output examples. Here, a trial is justified by recurring failures to preserve meaning that remain after simpler approaches have been assessed.

Fine-tuning changes how the note is processed. A current delivery confirmation still needs to appear in the material used to produce the summary.

Does reviewing summaries take less work?

Bilingual employees compare the existing and adapted models on entries not used during adaptation. They read each original alongside its summary and record corrections that change the meaning. Separate those from ordinary style edits: a shorter sentence can sound better while misrepresenting the stage of the work.

The trial should cover summaries in both required languages. A correct Polish result does not establish how the model will render the same information in English. The team also assesses how much rereading and editing remains before handing the case over.

The person responsible for the notes should be able to report new abbreviations and explain changes in how staff write. Some additions may need only a glossary update; others may warrant another assessment of the model. Include that ongoing work when comparing adaptation with the current tool.

A summary alongside the note in the service tool

Syntalith proposes an application for summarizing mixed Polish-English notes. The employee sees the original entry and a proposed summary in the selected language, edits it, and saves it with the case. The project includes connecting to the place where the team keeps its notes so the result supports everyday handoffs.

Your team identifies recurring distortions and explains the terms it uses. We compare a glossary and the existing model with a fine-tuning trial where mistakes concern the meaning of whole sentences. We also agree on who reviews summaries and updates terminology as service work changes.

Describe one entry whose summary sounded good but needed its account of the case status corrected. Tell us which language the team needed and where the result belonged. That is enough to start discussing the project; engagement information is on Syntalith’s pricing page.