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/pauline_25a.cha change

Searching only french/pauline_25a.cha. Search all transcripts instead

5 matches in 5 utterances

4.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (334 utterances, 1,155 words searched).

Concordance Utterances Distribution Matched forms

je vais couper , hein ! MOT · french/pauline_25a.cha, line 582 · Pauline 2;01
je vais couper , hein ! MOT · french/pauline_25a.cha, line 606 · Pauline 2;01
tu veux couper toi ? MOT · french/pauline_25a.cha, line 660 · Pauline 2;01
veux tu couper ? MOT · french/pauline_25a.cha, line 662 · Pauline 2;01
c'est marrant , elle cherche toujours à couper dans le mauvais sens . MOT · french/pauline_25a.cha, line 693 · Pauline 2;01

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

per 1,000 words

012345

2;002;012;02

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/pauline_25a.cha	Pauline	2;01.00	1,155	5	5	4.33

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