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/yamaguchi_26-3_05_14.cha change

Searching only french/yamaguchi_26-3_05_14.cha. Search all transcripts instead

5 matches in 4 utterances

4.40 per 1,000 words of the child (CHI), in 1 of 1 transcripts (412 utterances, 1,137 words searched).

Concordance Utterances Distribution Matched forms

ses yeux ! 1401636_1403641 CHI · french/yamaguchi_26-3_05_14.cha, line 1561 · Adrien 3;05
et ‹ses (.)› ses ça ! 1408766_1413877 CHI · french/yamaguchi_26-3_05_14.cha, line 1569 · Adrien 3;05
et ‹ses (.)› ses ça ! 1408766_1413877 CHI · french/yamaguchi_26-3_05_14.cha, line 1569 · Adrien 3;05
c'est ses c'est tes cheveux ! 1413480_1416490 CHI · french/yamaguchi_26-3_05_14.cha, line 1575 · Adrien 3;05
as vu c'est ses cheveux ! 1500130_1505647 CHI · french/yamaguchi_26-3_05_14.cha, line 1699 · Adrien 3;05

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

per 1,000 words

012345

3;043;053;063;07

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/yamaguchi_26-3_05_14.cha	Adrien	3;5.14	1,137	4	5	4.40

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