PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/geneva_1.cha change

Searching only french/geneva_1.cha. Search all transcripts instead

6 matches in 4 utterances

3.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (497 utterances, 1,882 words searched).

Concordance Utterances Distribution Matched forms

doucement [/] (.) doucement [/] (.) doucement . MOT · french/geneva_1.cha, line 1162 · Marie 1;08
doucement [/] (.) doucement [/] (.) doucement . MOT · french/geneva_1.cha, line 1162 · Marie 1;08
doucement [/] (.) doucement [/] (.) doucement . MOT · french/geneva_1.cha, line 1162 · Marie 1;08
non (.) non (.) non (.) doucement . MOT · french/geneva_1.cha, line 1655 · Marie 1;08
doucement Marie . FAT · french/geneva_1.cha, line 2143 · Marie 1;08
Marie (.) doucement un peu . FAT · french/geneva_1.cha, line 2146 · Marie 1;08

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

1;071;081;091;10

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/geneva_1.cha	Marie	1;8.26	1,882	4	6	3.19

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