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/pauline_26a.cha change

Searching only french/pauline_26a.cha. Search all transcripts instead

6 matches in 6 utterances

3.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 1,667 words searched).

Concordance Utterances Distribution Matched forms

bon bah dis , t'as bien compté , hein ! MOT · french/pauline_26a.cha, line 158 · Pauline 2;02
bon ! MOT · french/pauline_26a.cha, line 1025 · Pauline 2;02
dans le bon sens . MOT · french/pauline_26a.cha, line 1270 · Pauline 2;02
bon ! MOT · french/pauline_26a.cha, line 1298 · Pauline 2;02
bon ! MOT · french/pauline_26a.cha, line 1308 · Pauline 2;02
bon ! MOT · french/pauline_26a.cha, line 1660 · Pauline 2;02

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;012;022;032;04

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/pauline_26a.cha	Pauline	2;02.05	1,667	6	6	3.60

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