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

4 matches in 3 utterances

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

Concordance Utterances Distribution Matched forms

non ‹c'est (.)› mon doudou ! 235763_238670 CHI · french/yamaguchi_26-3_05_14.cha, line 309 · Adrien 3;05
et c'est mon c'est mon lit ! 621033_623843 CHI · french/yamaguchi_26-3_05_14.cha, line 698 · Adrien 3;05
et c'est mon c'est mon lit ! 621033_623843 CHI · french/yamaguchi_26-3_05_14.cha, line 698 · Adrien 3;05
hé c'est mon lit ! 623844_626763 CHI · french/yamaguchi_26-3_05_14.cha, line 703 · 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

01234

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	3	4	3.52

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