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/lyon_mar22b.cha change

Searching only french/lyon_mar22b.cha. Search all transcripts instead

5 matches in 5 utterances

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (302 utterances, 1,447 words searched).

Concordance Utterances Distribution Matched forms

et celui-ci . 353315_355383 MOT · french/lyon_mar22b.cha, line 520 · Marie 2;01
et là <il est> [/] il est petit celui-ci ? 788996_794476 MOT · french/lyon_mar22b.cha, line 1094 · Marie 2;01
et celui-ci il est comment ? 794476_796753 MOT · french/lyon_mar22b.cha, line 1097 · Marie 2;01
et celui-ci ? 796750_799836 MOT · french/lyon_mar22b.cha, line 1106 · Marie 2;01
<celui celui-ci> [<] . 817718_822860 MOT · french/lyon_mar22b.cha, line 1135 · Marie 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

01234

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/lyon_mar22b.cha	Marie	2;1.13	1,447	5	5	3.46

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