PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: sordi_logogenia/A3_35.cha change

Searching only sordi_logogenia/A3_35.cha. Search all transcripts instead

7 matches in 5 utterances

88.61 per 1,000 words of the child (CHI), in 1 of 1 transcripts (47 utterances, 79 words searched).

Concordance Utterances Distribution Matched forms

OK CHI · sordi_logogenia/A3_35.cha, line 20 · Cam –
1. Anna. NO / Gaia NO / Io OK CHI · sordi_logogenia/A3_35.cha, line 55 · Cam –
2: Gli orsi / Orso OK / Matteo OK / Gianni OK CHI · sordi_logogenia/A3_35.cha, line 56 · Cam –
2: Gli orsi / Orso OK / Matteo OK / Gianni OK CHI · sordi_logogenia/A3_35.cha, line 56 · Cam –
2: Gli orsi / Orso OK / Matteo OK / Gianni OK CHI · sordi_logogenia/A3_35.cha, line 56 · Cam –
3. Anna OK CHI · sordi_logogenia/A3_35.cha, line 57 · Cam –
Le mele OK CHI · sordi_logogenia/A3_35.cha, line 112 · Cam –

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
sordi_logogenia/A3_35.cha	Cam	10	79	5	7	88.61

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.