Blog/Duudlaga team

Review a Mongolian transcript: a 7-step checklist

Check names, figures, dates, negation and speaker attribution in Mongolian transcripts. A practical review process for audio files, dictation and meeting notes.

Review meaning-changing errors first: names, amounts, dates, negation and speaker attribution. A Mongolian transcript can read smoothly while getting one crucial fact wrong. Use this checklist before quoting a recording, assigning meeting actions or sharing a final document.

The same process applies to uploaded audio, desktop dictation and meeting reports. The aim is a dependable working record, not simply text that looks polished.

1. Decide what the transcript will be used for

A private brainstorming draft and a published quotation need different levels of scrutiny. Identify the passages used for decisions, quotations or financial figures and check those against the audio.

Mark which sections have actually been reviewed. Leave unclear words flagged for follow-up instead of guessing and making an unfinished document look final. When several people review a transcript, agree who owns the final version.

2. Check names and specialist terms

Look for people's names, organization names and product names. Mixed Mongolian and English speech may include different pronunciations of the same technical term. Choose the spelling your team uses and apply it consistently.

An unfamiliar name may be replaced by a plausible common word. The rest of the sentence can be accurate while the reader still cannot identify who it refers to. Resolve uncertain names from the recording or with a participant rather than inventing a correction.

3. Verify numbers together with their units

Fifteen million and fifty million are very different budgets. Even a correct number is wrong information when its unit changes. Check minutes, hours, thousands, millions and percentages along with the digits.

Relative dates also need context. If a speaker said “next Friday,” use the recording's date, not the date on which you happen to be reviewing it. Confirm the intended day before replacing a relative phrase with a calendar date.

4. Preserve negation and uncertainty

Pay attention to phrases meaning “not approved,” “not yet confirmed” or “might be possible.” Summarizing them should not turn a tentative discussion into a commitment.

For example, changing “Төсвийг нэмэхгүй байхаар ярилцсан” to “Төсвийг нэмэхээр ярилцсан” reverses the meaning of the budget discussion. This is a constructed review example, not a measured product error or benchmark result.

5. Check speaker attribution

Automatic labels such as “Speaker 1” and “Speaker 2” are not verified names. Listen to overlapping speech, brief interruptions and points where someone changed microphones.

If identity cannot be established, leave it uncertain. A correctly transcribed sentence attributed to the wrong person can assign a decision or promise to someone who never made it. Do not infer agreement simply because an attendee remained silent.

6. Review the summary separately

Correctly recognized words do not guarantee a correct summary. Separate proposals, objections, confirmed decisions and action items. Check that the summary has not added an owner or deadline absent from the conversation.

When using a meeting minutes template, write “to be confirmed” in fields the meeting did not resolve. The existence of a template field is not evidence that the corresponding decision happened.

7. Identify the reviewed version

Keep the raw transcript, edited draft and approved version distinguishable. A short reviewer name and date can make later questions much easier to resolve. Before sharing, check the recipient list, link permissions and intended audience.

For repeated work, maintain a small review log: the passage, the error category, the correction and how you verified it. This shows whether your recurring difficulty is audio quality, names, speaker labels or summary interpretation, and helps you improve the next recording.

How to interpret an accuracy benchmark

Word error rate, or WER, compares substitutions, deletions and insertions with a reference transcript. The result depends on the dataset, recording conditions and scoring rules. Read the notes accompanying the published speech benchmark and consider whether its audio resembles your own work.

A score on one dataset does not promise the same result for every accent, microphone or group meeting. For a practical comparison, use a short recording you are entitled to process, check names, numbers and speakers, and track the work needed to produce a usable final transcript.

Can review be skipped for a clean recording?

Clear audio helps, but it does not establish that every important detail is correct. Review the passages that carry decisions or quotations even when the rest of the recording is easy to understand. That targeted check is more useful than assuming fluency proves accuracy.