PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_ana16b.cha change

Searching only french/lyon_ana16b.cha. Search all transcripts instead

5 matches in 5 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (412 utterances, 1,514 words searched).

Concordance Utterances Distribution Matched forms

non [/] non sur la feuille . MOT · french/lyon_ana16b.cha, line 221 · Anais 1;08
tu veux changer la feuille ? 162170_169010 MOT · french/lyon_ana16b.cha, line 225 · Anais 1;08
on va prendre une grande feuille . 1348872_1351552 MOT · french/lyon_ana16b.cha, line 1458 · Anais 1;08
tiens la feuille . MOT · french/lyon_ana16b.cha, line 1462 · Anais 1;08
tu tiens la feuille ? 1426723_1428723 MOT · french/lyon_ana16b.cha, line 1542 · Anais 1;08

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

01234

1;071;081;091;10

Age of the child (years;months)

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
french/lyon_ana16b.cha	Anais	1;8.11	1,514	5	5	3.30

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