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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Context

Ignore case Whole words

Scope One transcript: french/goadrose_clara_1998-05-02.cha change

Searching only french/goadrose_clara_1998-05-02.cha. Search all transcripts instead

4 matches in 4 utterances

21.62 per 1,000 words of the child (CHI), in 1 of 1 transcripts (86 utterances, 185 words searched).

Concordance Utterances Distribution Matched forms

‹je veux› là . 1593901_1596037 CHI · french/goadrose_clara_1998-05-02.cha, line 13 · Clara 2;01
‹je 0suis allée› dehors moi . 1623379_1625166 CHI · french/goadrose_clara_1998-05-02.cha, line 98 · Clara 2;01
‹je fais› dodo . 1686967_1688429 CHI · french/goadrose_clara_1998-05-02.cha, line 278 · Clara 2;01
‹je veux› ‹du jus› ‹de pommes› . 1710675_1713553 CHI · french/goadrose_clara_1998-05-02.cha, line 326 · Clara 2;01

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

per 1,000 words

0510152025

2;002;012;022;03

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/goadrose_clara_1998-05-02.cha	Clara	2;1.5	185	4	4	21.62

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