PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_mas28a.cha change

Searching only french/lyon_mas28a.cha. Search all transcripts instead

4 matches in 4 utterances

2.16 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (459 utterances, 1,856 words searched).

Concordance Utterances Distribution Matched forms

et p(u)is maintenant on va se +... MOT · french/lyon_mas28a.cha, line 176 · Marie 2;02
0 [=! tousse, puis se racle la gorge] . 760215_765997 MOT · french/lyon_mas28a.cha, line 776 · Marie 2;02
on va se met(tre) comme ça: . 765997_769717 MOT · french/lyon_mas28a.cha, line 778 · Marie 2;02
on pr(endra) [?] [/] tout_à_l'heure en prenant le bain on se lav(e)ra les cheveux . MOT · french/lyon_mas28a.cha, line 1831 · Marie 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

0.00.51.01.52.02.5

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/lyon_mas28a.cha	Marie	2;2.29	1,856	4	4	2.16

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