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/mtln_thomas2-39.cha change

Searching only french/mtln_thomas2-39.cha. Search all transcripts instead

5 matches in 5 utterances

18.73 per 1,000 words of the child (CHI), in 1 of 1 transcripts (82 utterances, 267 words searched).

Concordance Utterances Distribution Matched forms

bon , c'est pour le bonhomme ! CHI · french/mtln_thomas2-39.cha, line 45 · Thomas 3;03
pour celui-là par exemple ! CHI · french/mtln_thomas2-39.cha, line 55 · Thomas 3;03
pour monter jusqu'ici . CHI · french/mtln_thomas2-39.cha, line 115 · Thomas 3;03
c'est pour tous ! CHI · french/mtln_thomas2-39.cha, line 123 · Thomas 3;03
t'as vu comment i(l) fait pour aller au zoo ? CHI · french/mtln_thomas2-39.cha, line 161 · Thomas 3;03

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

per 1,000 words

05101520

3;023;033;04

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/mtln_thomas2-39.cha	Thomas	3;3.	267	5	5	18.73

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