ToolsConductScience tool
Language Sample AnalysisFree in-browser calculator

Language Sample Worksheet.

Free printable and fillable language sample analysis worksheet. Five columns (utterance #, transcription, morpheme count, grammaticality, notes), 25 to 100 rows, rolling MLU and PGU as you type, and a print stylesheet that produces a clean single-page PDF. Nothing leaves your browser.

PrivateData stays in your browser
LiveNo sign-up required
Validated2026-04-06
CitableMethods and citation included

Calculator

Results update in place

Fillable LSA worksheet

Transcribe one utterance per row. The running summary updates as you type. Print or save as PDF when you finish \u2014 nothing leaves your browser.

Utterances
0
Morphemes
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Rolling MLU
morphemes / utterance
PGU
mark G or U on rows
#TranscriptionMorph.G / UNotes
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Tip: pair this worksheet with the MLU Calculator and PGU Calculator once your rows are filled in.

Skip the manual work

Upload audio, get a finished sample

Stop transcribing by hand. Upload the recording and ConductSpeech delivers the transcript, metrics, and report.

Skip the manual work — upload audio to ConductSpeech

When to use

  • Transcribing a 25-, 50-, 75-, or 100-utterance language sample by hand from an audio recording
  • Teaching graduate SLP students how each row of an LSA transcript becomes the input for MLU, PGU, and lexical diversity
  • Producing a clean printable form that can be filled in on paper during a clinical session and scanned into the chart
  • Capturing a quick 25-utterance screening sample during early intervention or kindergarten round-up
  • Sanity-checking a colleague’s transcription by re-typing utterances into the worksheet and watching the running MLU
  • Building an evaluation appendix that documents every utterance behind a reported MLU and PGU value

Do not use for

  • Replacing a structured corpus tool (SALT, CLAN, SLP-CHILDES) when you need codes, mor-tags, or longitudinal databases
  • Storing or sharing identifiable transcripts — the worksheet is browser-only and nothing is saved
  • Computing final MLU/PGU/NDW values — use the dedicated calculators on this site, which apply Brown’s rules consistently
  • Submitting as the only documentation for a formal eligibility determination — pair with norm-referenced testing
  • Bulk batch processing — the worksheet is one sample at a time; ConductSpeech handles batches via audio upload

Use the same transcription rules every time

Pick a transcription convention (SALT, SUGAR, or your training program’s house style) and stick to it for every row. Inconsistent segmentation across utterances is the #1 source of MLU drift between clinicians scoring the same sample.

Mark grammaticality during the first pass

It is much faster to judge grammaticality while you still have the audio in your ear than to come back later and re-listen. Use the G/U toggle as you type each row and revisit only the rows you flagged as borderline.

Do not chase round numbers

If the child only produces 47 codeable utterances do not pad the sample with edge-case phrases just to hit 50. SUGAR and most clinical protocols accept the closest legitimate count and document the actual sample length on the worksheet header.

Print blank for paper sessions

If you prefer to transcribe on paper at the table, leave the rows empty, click Print, and use the printed form as a hand-fillable scaffold. The printed worksheet has wider transcription cells than the on-screen view because the paper page is wider than a phone.

Pair with a recording, not just memory

Hand transcription from memory drops 20–40% of utterances and biases toward longer, more grammatical productions. Always transcribe from an audio recording — the worksheet assumes you have one.

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Method

The worksheet is a thin client-side wrapper around an in-memory list of utterance rows. Each row stores the transcription string, an integer morpheme count, an optional grammaticality flag (“G”, “U”, or unset), and a free-text notes field. Row totals are derived live: total utterances = number of rows with any non-empty content; total morphemes = sum of the integer morpheme counts; rolling MLU = total morphemes / total utterances when there is at least one filled utterance; total grammatical = number of rows marked “G”; PGU = grammatical / utterances with a G/U judgment. Row state lives only in React state — nothing is persisted to localStorage, IndexedDB, or any server. The print path uses a CSS @media print block that hides the toolbar, the ConductSpeech CTA, the educational sidebar, and the page chrome, so the printed output contains only the header and the worksheet rows. The five-column format follows the conventions used in SUGAR (Pavelko & Owens 2017), Miller & Chapman (1981) Reference Database for Language Sampling, and the Brown (1973) tradition.

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Validated

Last validated 2026-04-06. Calculations are designed for planning and documentation support; verify procurement decisions against manufacturer specifications or institutional SOPs.

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How to cite

How to Cite

ConductScience Language Sample Worksheet (v1.0). ConductScience, Inc. 2026. Available at: https://conductscience.com/tools/language-sample-worksheet

Brown R. A First Language: The Early Stages. Harvard University Press; 1973.

Miller JF, Chapman RS. The relation between age and mean length of utterance in morphemes. Journal of Speech and Hearing Research. 1981;24(2):154-161. doi:10.1044/jshr.2402.154

Pavelko SL, Owens RE. Sampling Utterances and Grammatical Analysis Revised (SUGAR): New normative values for language sample analysis measures. LSHSS. 2017;48(3):197-215. doi:10.1044/2017_LSHSS-17-0022

Eisenberg SL, Guo LY. Differentiating children with and without language impairment based on grammaticality. LSHSS. 2013;44(1):20-31. doi:10.1044/0161-1461(2012/11-0089)

What This Worksheet Is For

Language sample analysis (LSA) is the gold-standard descriptive method for evaluating a child's expressive language. Unlike standardized tests, LSA captures real, connected speech in a natural context. The bottleneck is transcription: a clinician sits down with an audio recording, listens utterance by utterance, writes each one out, counts the morphemes, judges grammaticality, and only then computes MLU, PGU, NDW, and clausal density.

This worksheet is the structured scaffold for that transcription pass. Five columns line up exactly with the data the standard LSA metrics need:

  • # — utterance number, 1 through your selected row count.
  • Transcription — the child's utterance as you hear it on the recording.
  • Morphemes — Brown's-rule morpheme count for that utterance.
  • Grammatical (Y/N) — your judgment of whether the utterance is fully grammatical.
  • Notes — errors, repairs, contextual cues, or codes.

Filling the sheet in row-by-row is the slow, careful part of LSA. Once it is complete you can compute MLU as `total morphemes / total utterances`, PGU as `grammatical utterances / total utterances`, and feed the same row data into other tools in the suite.

How to Use This Worksheet

1. Set the row count. Pick 25, 50, 75, or 100 rows based on your protocol. SUGAR and Miller & Chapman use 50; Brown's original work used 100; quick screenings use 25.
2. Fill in the header. Type the child's ID or initials, age, date of sample, and clinician name. The header prints with the worksheet so the form lives next to the rest of the chart.
3. Transcribe utterance by utterance. Use the audio recording (or live notes) and write one utterance per row. Punctuate sparingly. The "Transcription" column is wide enough for typical 8 – 12 word utterances.
4. Count morphemes. Apply Brown's morpheme counting rules and put the integer in the "Morphemes" column. The running total at the top of the worksheet updates as you type.
5. Mark grammaticality. Click the "G" or "U" toggle for each utterance to indicate Grammatical or Ungrammatical (or leave both unselected if you have not judged it). The PGU running total updates as you mark rows.
6. Print or save as PDF. When you finish, click "Print Worksheet". The print stylesheet hides the toolbar, the educational sidebar, and the ConductSpeech card so the printed page contains only the header and the rows. To save, choose "Save as PDF" in the print dialog.

Where the Worksheet Fits in the LSA Workflow

1. Record. Capture 10–15 minutes of conversational or play-based interaction with the child.
2. Transcribe. Use this worksheet, one utterance per row, until you reach your target sample size (50 utterances is the most common cut-off).
3. Compute MLU. Move the morpheme totals into the MLU Calculator for a fully checked MLU‑morphemes and MLU‑words computation.
4. Compute PGU. If you marked grammaticality on the worksheet, transfer those judgments into the PGU Calculator to get Percent Grammatical Utterances and an error-type breakdown.
5. Compute lexical diversity. Paste the same transcribed text into the Lexical Diversity Calculator for Type‑Token Ratio (TTR) and Number of Different Words (NDW).
6. Compare to age norms. Use the SUGAR Norms Lookup to compare your computed MLU, TNW, CPS, and MLUL against age-matched typical ranges.
7. Speed it up. If hand-transcription is the bottleneck, ConductSpeech does steps 1–6 from a single audio upload — transcript, metrics, normative comparison, and a clinical report.

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