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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Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_nat25b.cha change

Searching only french/lyon_nat25b.cha. Search all transcripts instead

5 matches in 5 utterances

6.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (164 utterances, 790 words searched).

Concordance Utterances Distribution Matched forms

mhm tu m(e) dis zizi toi ! 9007_11310 MOT · french/lyon_nat25b.cha, line 36 · Nathan 2;10
tu le dis ? 941070_941975 MOT · french/lyon_nat25b.cha, line 653 · Nathan 2;10
tu nous dis bonjour ? MOT · french/lyon_nat25b.cha, line 657 · Nathan 2;10
tu nous dis bonjour Nanou ? MOT · french/lyon_nat25b.cha, line 660 · Nathan 2;10
tu dis bonjour ? 970388_971398 FAT · french/lyon_nat25b.cha, line 679 · Nathan 2;10

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

per 1,000 words

02468

2;092;102;113;00

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_nat25b.cha	Nathan	2;10.23	790	5	5	6.33

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