PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: french/geneva_17.cha change

Searching only french/geneva_17.cha. Search all transcripts instead

5 matches in 5 utterances

2.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (575 utterances, 2,127 words searched).

Concordance Utterances Distribution Matched forms

tu veux me montrer ton livre ? FAT · french/geneva_17.cha, line 540 · Marie 2;06
tu veux lire un livre ? MOT · french/geneva_17.cha, line 1506 · Marie 2;06
parce qu'on va encore lire un p(e)tit livre non ? MOT · french/geneva_17.cha, line 2475 · Marie 2;06
tu veux pas lire un p(e)tit livre ce soir ? MOT · french/geneva_17.cha, line 2485 · Marie 2;06
tu veux choisir déjà un p(e)tit livre ? MOT · french/geneva_17.cha, line 2524 · Marie 2;06

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

per 1,000 words

0.00.51.01.52.02.5

2;052;062;072;08

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/geneva_17.cha	Marie	2;6.10	2,127	5	5	2.35

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