TO-CRY1^

	

frontal

45°

90°

from above

≙ TO-CRY1^
Bremen \| dgskorpus_hb_06 \| 31-45f We were anxious and cried.
r	ALL2B^*	ALL2A	I1	TO-CRY1^	HELPLESS1C
l					HELPLESS1C
m		alle
Münster \| dgskorpus_mst_16 \| 61+m I was happy, but I cried at the same time because I realized that my mom was so far away.
r			$INDEX1	TO-CRY1^*	I1*	TO-CRY1	TO-THINK1B
l				TO-CRY1^*
m			mama	freuen	[MG]		mama
Schleswig-Holstein \| dgskorpus_sh_06 \| 31-45f You can compare the demonstration for subtitles with the weather: Because we aren't getting any subtitles, we were sad and therefore it started to rain.
r	$INDEX1	TO-OBTAIN1*	NOT1	TO-CRY1^*	RAIN1A*
l		TO-OBTAIN1*	NOT1
m		bekommen	nicht		weil
= ONION1
Frankfurt \| dgskorpus_fra_03 \| 46-60m For the recipe, you need onions; I use three.
r	CONTENT1*	RECIPE-OR-PRESCRIPTION1A*	$LIST1:1of1d	ONION1	I1
l	CONTENT1*	RECIPE-OR-PRESCRIPTION1A*	$LIST1:1of1d
m	zutaten	[MG]		zwiebel
Frankfurt \| dgskorpus_fra_03 \| 46-60m So, you take three onions.
r				ONION1	$PROD	ONION1	TO-PUT-STH-DOWN1*
l			$NUM-ONE-TO-TEN1A:3d		$PROD		TO-PUT-STH-DOWN1*
m			drei	zwiebel		zweimal
Frankfurt \| dgskorpus_fra_03 \| 46-60m So, you take three onions.
r		ONION1	$PROD	ONION1	TO-PUT-STH-DOWN1*
l	$NUM-ONE-TO-TEN1A:3d		$PROD		TO-PUT-STH-DOWN1*
m	drei	zwiebel		zweimal
Frankfurt \| dgskorpus_fra_03 \| 46-60m Then, the onions go into the pot.
r				ONION1		$PROD	TO-TOUCH1B^*
l					TO-THROW1*	$PROD	TO-TOUCH1B^*
m				zwiebel		zwiebel
= SAD4
Frankfurt \| dgskorpus_fra_13 \| 61+m Sometimes, it has sad reputation, though.
r	UNFORTUNATELY1*		SOMETIMES1*		TO-SHOUT1B
l		ALSO3A*	SOMETIMES1*	SAD4
m	leider	auch	manchmal	traurigen	ruf
Stuttgart \| dgskorpus_stu_12 \| 46-60f Oh, were you that sad?
r				SAD4
l
m				traurig
Berlin \| dgskorpus_ber_01 \| 18-30m Something sad?
r			$INDEX1*	SAD4*	I1	$GEST-OFF^*
l
m				traurig
Berlin \| dgskorpus_ber_01 \| 18-30m Well, actually I haven't experienced anything too sad so far.
r	ACTUALLY1B	UNTIL-NOW3B	NEVER-BEFORE1*	SAD4*	$GEST-OFF^*
l		UNTIL-NOW3B			$GEST-OFF^*
m	eigentlich	bis	noch nie	traurig
Berlin \| dgskorpus_ber_01 \| 18-30m Yet, something else that makes me sad is that my parents cannot sign at all.
r	AND2A*	I1	ONLY2A*	SAD4*	EXAMPLE1	$INDEX1*	MY1
l	AND2A*				EXAMPLE1
m	und		nur	traurig	beispiel		mein
Berlin \| dgskorpus_ber_01 \| 18-30m That makes me sad.
r		I1	THEREFORE1*	SAD4*	THATS-ALL1*	$GEST-OFF^
l			THEREFORE1*		THATS-ALL1*	$GEST-OFF^
m			darum	traurig
Göttingen \| dgskorpus_goe_03 \| 61+f Oh dear, I was shocked about it.
r	SHOCK2B*	I1*	$GEST-DECLINE1^*	SAD4*	$GEST-OFF^
l	SHOCK2B*		$GEST-DECLINE1^*	SAD4*	$GEST-OFF^
m	[MG]	war	schon	traurig
Göttingen \| dgskorpus_goe_03 \| 61+f It was very sad for me.
r		TO-BELONG1^	$GEST-DECLINE1^*	SAD4*	$GEST-OFF^
l				SAD4*	$GEST-OFF^
m		für mich	sehr	traurig
Köln (Cologne) \| dgskorpus_koe_19 \| 31-45f I was kind of bummed out about it.
r			I1	SAD4*	$GEST-OFF^
l					$GEST-OFF^
m				traurig
Leipzig \| dgskorpus_lei_09 \| 31-45f It affected me and made me sad.
r			FEELING3^*	SAD4*	I2	IT-HURTS1
l			FEELING3^*
m			wie	traurig
Münster \| dgskorpus_mst_07 \| 46-60m Of course, the hearing people were pretty sad about that.
r					$GEST-OFF^*
l	TO-ABANDON1*	$GEST-DECLINE1^*	SELF1A*	SAD4*
m	verzichten		selbst	traurig
München (Munich) \| dgskorpus_mue_01 \| 61+f That makes me sad.
r			I2*	SAD4*	$GEST-OFF^
l			I2*	SAD4*	$GEST-OFF^
m			ich	traurig
Rostock \| dgskorpus_mvp_03 \| 18-30m Yes! Yes! People were sad.
r		PEOPLE2*	YES1A^	SAD4*	ALSO3A*
l	ALSO3A*
m	…	leu{te}	war	traurig	auch
Nürnberg (Nuremberg) \| dgskorpus_nue_02 \| 61+f Hearing people think deaf people always look sad, but that's not true.
r	DEAF1A	HEARING1A	DEAF1A	SAD4*	APPEARANCE2	$GEST-NM-SHAKE-HEAD1^
l						$GEST-NM-SHAKE-HEAD1^
m	gehö{rlos}	hörend	gehörlos	traurig	aussehen
Nürnberg (Nuremberg) \| dgskorpus_nue_02 \| 61+f They think deaf people are always sad.
r	TO-BELIEVE2A*	ALL1A	DEAF1A	SAD4*	DEAF1A	SAD4*
l
m	glauben	all	gehörlos	traurig	gehörlos	traurig
Nürnberg (Nuremberg) \| dgskorpus_nue_02 \| 61+f They think deaf people are always sad.
r	DEAF1A	SAD4*	DEAF1A	SAD4*
l
m	gehörlos	traurig	gehörlos	traurig
Stuttgart \| dgskorpus_stu_08 \| 61+f My father was really sad about it.
r
l		MY1	FATHER1	SAD4*	$INDEX4
m		mein	vater	traurig
= TO-CRY1
Frankfurt \| dgskorpus_fra_06 \| 31-45f My mother expected me to cry.
r	ON-PERSON1	IF1	I1	TO-CRY1	OR4B*	$GEST-NM-TO-SHRUG1^
l					OR4B*	$GEST-NM-TO-SHRUG1^
m	…	ob		[MG]	oder
Frankfurt \| dgskorpus_fra_06 \| 31-45f His mother and his boyfriend were crying and holding sunflowers.
r	BOYFRIEND-GIRLFRIEND1*	BOTH2A	TO-ACCOMPANY1A	TO-CRY1	FLOWER3A	$PROD
l			TO-ACCOMPANY1A			$PROD
m	freund			[MG]	sonnenblume
Köln (Cologne) \| dgskorpus_koe_06 \| 46-60f I cried and didn't want to go there.
r			I1	TO-CRY1	TO-WANT5*	NOT3B*	$INDEX1
l						NOT3B*
m				weinen	will	nicht
Köln (Cologne) \| dgskorpus_koe_13 \| 61+m It was sad saying goodbye when he moved to Bavaria.
r		$GEST-OFF^*	$GEST-DECLINE1^*	TO-CRY1	I1	TO-SAY-GOODBYE1	$INDEX1
l						TO-SAY-GOODBYE1
m		[MG]	auf wiedersehen	weinen		abschied
Leipzig \| dgskorpus_lei_05 \| 61+f I cried very hard.
r	TO-BE-ANNOYED4^	I1*	$ORAL^	TO-CRY1	GONE-TO-VANISH2
l	TO-BE-ANNOYED4^		$ORAL^		GONE-TO-VANISH2
m			viel	geweint
Münster \| dgskorpus_mst_16 \| 61+m I cried, “Mom, Mom, I don't want to go to school!”
r			I1	TO-CRY1	I1^	$INDEX1	$GEST-ATTENTION1^*
l
m				weinen weinen	mama mama
Münster \| dgskorpus_mst_16 \| 61+m I was happy, but I cried at the same time because I realized that my mom was so far away.
r	$INDEX1	TO-CRY1^*	I1*	TO-CRY1	TO-THINK1B	THERE1*	I1
l		TO-CRY1^*
m	mama	freuen	[MG]		mama
München (Munich) \| dgskorpus_mue_09 \| 61+f But those babies cry, too.
r	THERE-IS3*	ALSO1A	BABY1	TO-CRY1
l			BABY1
m	gibt	auch	baby	weinen
München (Munich) \| dgskorpus_mue_09 \| 61+f I think it's interesting that babies cry for different reasons.
r	INTEREST1A*	WHAT2	DISTINCT1	TO-CRY1	WHY7*
l		WHAT2	DISTINCT1
m	[MG]		verschieden	weinen	warum
Rostock \| dgskorpus_mvp_03 \| 18-30m Actually, a friend of mine cried.
r		FRIEND7*	ALSO3A	TO-CRY1	$GEST-OFF^*
l		FRIEND7*
m		freund	auch	wein
Stuttgart \| dgskorpus_stu_08 \| 61+f My godfather was really sad.
r			$PROD
l	I2	GODFATHER-$CANDIDATE-STU37^	$PROD	TO-CRY1
m	mein	pate	[MG]	[MG]
Stuttgart \| dgskorpus_stu_08 \| 61+f Yes, right. It's sad, seeing something like that.
r			YOU1*	TO-CRY1	$INDEX1	TO-LOOK2
l
m						seh
Stuttgart \| dgskorpus_stu_18 \| 18-30m I was really sad, and I cried and screamed a lot.
r		I1	SAD2	TO-CRY1	$GEST-OFF^	I2	SCREAM1A*
l					$GEST-OFF^
m			[MG]	weinen			[MG]
Berlin \| dgskorpus_ber_03 \| 46-60f They were all standing around; one person in front of me was crying and was comforted by someone else.
r	$PROD	TO-STAND1*		TO-CRY1*	$PROD	TO-STAND1	I2
l	$PROD	TO-STAND1*	$NUM-ONE-TO-TEN1A:1*		$PROD	$PROD
m			ein	wein
Berlin \| dgskorpus_ber_03 \| 46-60f They were all standing around; one person in front of me was crying and was comforted by someone else.
r	$GEST-TO-STAY-CALM1^	TO-SPEAK1A*	$PROD	TO-CRY1*
l	$GEST-TO-STAY-CALM1^		$PROD
m	komm komm	[MG]	[MG]	[MG]
Berlin \| dgskorpus_ber_03 \| 46-60f I said, “I had no idea. I was already wondering what was going on because so many people were on the subway, and one of them was even crying.“
r	TO-WONDER1*	SUBWAY1A*	FULL1	TO-CRY1*
l		SUBWAY1A*
m	gewun{dert}	u-bahn	voll	weinen
Berlin \| dgskorpus_ber_03 \| 46-60f I saw a person crying once again; they looked so happy.
r	TO-LOOK-AT2	THEN1A*	AN1A	TO-CRY1*	INVOLVED1A^*	WITH1A*	HAPPY1*
l				TO-CRY1*	INVOLVED1A^*		HAPPY1*
m		dann	wieder ein	[MG]	mit		froh
Berlin \| dgskorpus_ber_04 \| 46-60m It was just unbelievable: everyone had goose bumps and was close to tears.
r		ALL1A	GOOSE-BUMPS1*	TO-CRY1*	WELL1*
l			GOOSE-BUMPS1*	TO-CRY1*	WELL1*
m		alle	[MG]	[MG]
Frankfurt \| dgskorpus_fra_06 \| 31-45f During his performances, the deaf people watched with open mouths and tears in their eyes.
r	$PROD	$INDEX1	$PROD	TO-CRY1*	$INDEX1
l	$PROD		$PROD	TO-CRY1*
m			[MG]	[MG]
Frankfurt \| dgskorpus_fra_06 \| 31-45f There were a couple of love affairs and painful separations, oh yes.
r	ALSO3A	TO-FALL-IN-LOVE1*	TO-SEPARATE4A^	TO-CRY1*	$GEST-DECLINE1^
l		TO-FALL-IN-LOVE1*	TO-SEPARATE4A^		$GEST-DECLINE1^
m	auch	verliebt	manchmal	[MG]
Frankfurt \| dgskorpus_fra_06 \| 31-45f I felt really sick and started to cry an hour into the exam.
r	LATER10	I1*	TO-FEEL-SICK1B*	TO-CRY1*
l
m	später		schlecht	weinen
Frankfurt \| dgskorpus_fra_06 \| 31-45f I started crying.
r			I1*	TO-CRY1*
l				TO-CRY1*
m				[MG]
Frankfurt \| dgskorpus_fra_11 \| 18-30m I cried a lot because I didn't want to go there.
r			I2	TO-CRY1*	TO-WANT7*	NOT3A*	TO-CRY1*
l				TO-CRY1*			TO-CRY1*
m				[MG]	will	nicht
Frankfurt \| dgskorpus_fra_11 \| 18-30m I cried a lot because I didn't want to go there.
r	TO-CRY1*	TO-WANT7*	NOT3A*	TO-CRY1*
l	TO-CRY1*			TO-CRY1*
m	[MG]	will	nicht
Frankfurt \| dgskorpus_fra_11 \| 18-30m I was crying permanently and always wanted to go home.
r				TO-CRY1*	TO-WANT7*	HOME6*
l
m				[MG]	will	heim heim
Frankfurt \| dgskorpus_fra_12 \| 61+m But I cried a lot at home.
r		I1*	AWAY2*	TO-CRY1*	I1
l				TO-CRY1*
m			heim	wein wein
Frankfurt \| dgskorpus_fra_12 \| 61+m When I first went there, I had to cry, because I saw all deaf people signing.
r	$GEST^	ALREADY3*	I1	TO-CRY1*	WHY10B*	DEAF1A*	ALL2B
l	$GEST^	ALREADY3*		TO-CRY1*
m		schon		wein wein	warum
Göttingen \| dgskorpus_goe_06 \| 31-45f #Name1 started to cry.
r	$NAME	TO-CUT7A^	MUST1	TO-CRY1*
l	$NAME	TO-CUT7A^		TO-CRY1*
m	#name1		muss	[MG]
Hamburg \| dgskorpus_hh_02 \| 31-45f The person on the sign also cries a lot.
r				TO-CRY1*	MUCH-OR-MANY1A	MUCH-OR-MANY1A*
l
m				[MG]	viel	viel
Köln (Cologne) \| dgskorpus_koe_09 \| 18-30f I had to cry.
r			I1	TO-CRY1*	$GEST-NM^
l					$GEST-NM^
m				[MG]
Köln (Cologne) \| dgskorpus_koe_09 \| 18-30f A child's father was missing, and the kid was therefore crying.
r	TO-MISS1	FATHER1	TYPICAL1^*	TO-CRY1*
l	TO-MISS1		TYPICAL1^*
m	vermissen	vater
Köln (Cologne) \| dgskorpus_koe_17 \| 61+f Then my parents came and my mother cried a lot, endlessly.
r	TO-COME2*	I1	MOTHER1*	TO-CRY1*	END1A
l				TO-CRY1*	END1A
m	kommen	meine	mutter	weint weint weint weint	ohne ende
Köln (Cologne) \| dgskorpus_koe_17 \| 61+f She was crying just because I didn’t hear anything.
r				TO-CRY1*	I1	EAR1^	WHAT1A^*
l				TO-CRY1*			WHAT1A^*
m				weint
Köln (Cologne) \| dgskorpus_koe_17 \| 61+f “Why is she crying? It’s not my fault.“
r				TO-CRY1*	$GEST-OFF^	I1	INNOCENT2*
l					$GEST-OFF^
m				weint	warum		unschuldig
Leipzig \| dgskorpus_lei_02 \| 61+f Our Polish friends cried a lot, because we had to go back to Germany.
r	POLAND1B	AREA1D^*	MUCH-OR-MANY1A*	TO-CRY1*	I1	ALL1A*	AWAY2*
l				TO-CRY1*
m	polen		viel	weinen			fort
Leipzig \| dgskorpus_lei_05 \| 61+f I kept on crying.
r			$ORAL^	TO-CRY1*	$GEST-DECLINE1^
l			$ORAL^		$GEST-DECLINE1^
m			viel	weinen weinen
Münster \| dgskorpus_mst_11 \| 61+m I cried the entire time.
r				TO-CRY1*
l
m				[MG]
Münster \| dgskorpus_mst_11 \| 61+m I was home sick even when I went to bed and I had to cry a lot.
r		TO-SLEEP3*	$INDEX1	TO-CRY1*	I1	TO-CRY1*	SOUL1^*
l
m		schlaf		[MG]	ich	wein wein	heimweh
Münster \| dgskorpus_mst_11 \| 61+m I was home sick even when I went to bed and I had to cry a lot.
r	$INDEX1	TO-CRY1*	I1	TO-CRY1*	SOUL1^*	$GEST-OFF^*
l
m	…	[MG]	ich	wein wein	heimweh
Münster \| dgskorpus_mst_11 \| 61+m I cried and cried.
r				TO-CRY1*
l
m				[MG]
Münster \| dgskorpus_mst_11 \| 61+m But I continued crying and saying I was feeling homesick.
r			I1	TO-CRY1*	AFTERWARDS1A^	TO-CRY1*	HOMESICKNESS3
l
m				[MG]	weiter weiter	weinen	heimweh
Münster \| dgskorpus_mst_11 \| 61+m But I continued crying and saying I was feeling homesick.
r	I1	TO-CRY1*	AFTERWARDS1A^	TO-CRY1*	HOMESICKNESS3	$GEST-OFF^*
l
m		[MG]	weiter weiter	weinen	heimweh
Münster \| dgskorpus_mst_12 \| 31-45m Everyone was terribly shocked when the airplanes attacked the towers; everyone cried, thought it was awful and was oh so sad.
r	AFFECTED1	$PROD	$GEST^	TO-CRY1*	$GEST^	BAD3A*	$GEST^
l	AFFECTED1	$PROD	$GEST^		$GEST^	BAD3A*	$GEST^
m	betroffen		[MG]			schlimmer fall
Münster \| dgskorpus_mst_12 \| 31-45m Everyone was terribly shocked when the airplanes attacked the towers; everyone cried, thought it was awful and was oh so sad.
r	BAD3A*	$GEST^	$INDEX1*	TO-CRY1*	$GEST^	SAD2*
l	BAD3A*	$GEST^			$GEST^
m	schlimmer fall				trauer
Münster \| dgskorpus_mst_16 \| 61+m I cried.
r			I1	TO-CRY1*	$GEST-DECLINE1^
l					$GEST-DECLINE1^
m					[MG]
Münster \| dgskorpus_mst_16 \| 61+m I cried and clung to them the entire time. Therefore, they didn't know how to separate me from them.
r			$INDEX1	TO-CRY1*	TO-HOLD-ON2*	$INDEX1	LIKE4A*
l					TO-HOLD-ON2*		LIKE4A*
m				wein	festhalt festhalt festhalten		wie
Münster \| dgskorpus_mst_16 \| 61+m I cried and cried.
r			I1	TO-CRY1*	TO-CRY1*
l				TO-CRY1*
m			[MG]	weint weint	[MG]
Münster \| dgskorpus_mst_16 \| 61+m I cried and cried.
r		I1	TO-CRY1*	TO-CRY1*
l			TO-CRY1*
m		[MG]	weint weint	[MG]
Münster \| dgskorpus_mst_16 \| 61+m Yet, then, my foster mother came to pick me up, and I went home crying.
r	TO-TAKE-SB-OR-STH-ALONG1*		I1	TO-CRY1*	GO-HOME2*	I1*
l	TO-TAKE-SB-OR-STH-ALONG1*	TO-CARRY3*
m	mich	[MG]		wein wein	nach hause
Münster \| dgskorpus_mst_16 \| 61+m Those three years, I cried the entire time.
r			I1	TO-CRY1*	$GEST-DECLINE1^	UNTIL1	$NUM-ONE-TO-TEN1A:3d
l				TO-CRY1*	$GEST-DECLINE1^
m				wein wein	oha	bis	drei
Münster \| dgskorpus_mst_16 \| 61+m I cried and wanted my mom.
r				TO-CRY1*	DIRECTION3^*	DIRECTION3^*
l				TO-CRY1*
m				wein wein	mama	mama
Münster \| dgskorpus_mst_16 \| 61+m I didn't cry anymore.
r	$GEST^*	I1^*	NOT3B*	TO-CRY1*	I1*	$GEST-OFF^
l	$GEST^*	I1^*	NOT3B*	TO-CRY1*	I1*	$GEST-OFF^
m	[MG]		nicht mehr	weinen	früher	[MG]
München (Munich) \| dgskorpus_mue_05 \| 61+f Many old people moaned and cried because they weren’t able to walk across the wooden planks well - or at all.
r	PEOPLE2*	TO-SUE2	PEOPLE2*	TO-CRY1*	EVERYWHERE1	MUCH-OR-MANY1A*	PARALLEL3^*
l		TO-SUE2		TO-CRY1*			PARALLEL3^*
m	leute	klagen		weinen	viele		steg
München (Munich) \| dgskorpus_mue_09 \| 61+f There are many emotions, for instance sadness. You can tell somebody's emotions by their facial expressions, such as love or grief.
r	$GEST^	FACIAL-EXPRESSION1	LOVE1C^*	TO-CRY1*	$GEST^
l	$GEST^	FACIAL-EXPRESSION1	LOVE1C^*		$GEST^
m		mimik
München (Munich) \| dgskorpus_mue_09 \| 61+f It cries because it's scared to be left alone.
r			TO-LACK1A*	TO-CRY1*	FEAR1*	ALONE1A*
l
m					angst	allein
München (Munich) \| dgskorpus_mue_09 \| 61+f So they just changed their diapers and fed them but without any loving touch, other than that they didn't do anything. Even when the babies started crying they left them to their own devices.
r		NAPPY1*	TO-PUT-OR-TO-LAY4*	TO-CRY1*	SCREAM1C*	$GEST-DECLINE1^	NAPPY1*
l			TO-PUT-OR-TO-LAY4*		SCREAM1C*	$GEST-DECLINE1^
m		[MG]	[MG]		[MG]	[MG]	[MG]
München (Munich) \| dgskorpus_mue_09 \| 61+f It starts crying when it feels left alone.
r			ALONE4	TO-CRY1*	$GEST^
l					$GEST^
m			allein	[MG]
München (Munich) \| dgskorpus_mue_09 \| 61+f You get depressed and feel a deep sadness.
r	SOUL4^*	DOWNWARDS1^*	$GEST^	TO-CRY1*	$GEST^
l			$GEST^		$GEST^
m	depression
München (Munich) \| dgskorpus_mue_09 \| 61+f When you have problems and feel sad, it's better to talk to someone directly and to ask someone for help.
r	WHAT2^	PROBLEM2A	OR4B	TO-CRY1*	$GEST^	RATHER1	TO-PRODUCE2^*
l	WHAT2^	PROBLEM2A	OR4B		$GEST^		TO-PRODUCE2^*
m	wenn	problem	oder			lieber	raus
München (Munich) \| dgskorpus_mue_10 \| 31-45m But when we really didn’t come anymore, a lot of the sisters were crying.
r	REALLY1	MUCH-OR-MANY1A	NURSE1*	TO-CRY1*
l			NURSE1*	TO-CRY1*
m		viel	schwestern	geweint
Rostock \| dgskorpus_mvp_03 \| 18-30m That's why my educator cried that day - she had stood on the rooftop before and was now able to feel empathy for those people.
r	I1	EDUCATION-OR-UPBRINGING4	FACE1^*	TO-CRY1*	$INDEX1	BEEN2	INTO2
l		EDUCATION-OR-UPBRINGING4				BEEN2	INTO2
m	ich	erzieh	[MG]	[MG]		gewesen	in
Nürnberg (Nuremberg) \| dgskorpus_nue_08 \| 18-30f If they hit each other and cry, I won’t hear it.
r			TO-BEAT1^*	TO-CRY1*	I1	TO-HEAR1*	NOT3B
l				TO-CRY1*			NOT3B
m			hauen	weinen		hör	nicht
Nürnberg (Nuremberg) \| dgskorpus_nue_08 \| 18-30f Just like when speaking, the machine lights up, but the children don’t really cry, they just go blah blah blah.
r	FLASH1*	REALLY2*	CONTENT3*	TO-CRY1*	NOTHING1A	ONLY2B	LIKE6*
l			CONTENT3*	TO-CRY1*	NOTHING1A
m	blitz	meist			nicht	nur	wie
Nürnberg (Nuremberg) \| dgskorpus_nue_08 \| 18-30f But deaf people don’t know if the signal is flashing because the children are crying, or because they’re babbling.
r	DONT-KNOW2	FLASH1*	SELF1A*	TO-CRY1*	OR5*	$INDEX1	TO-SPEAK1A
l				TO-CRY1*	OR5*
m	weiß ni{cht}	blitz	selbst	weinen	oder		unterhalten
Stuttgart \| dgskorpus_stu_04 \| 61+f When the Wall fell and everyone was cheering, I cried a little bit to be honest.
r	I1	WITH2	BIT4*	TO-CRY1*
l		WITH2	BIT4*	TO-CRY1*
m			bisschen	[MG]
Stuttgart \| dgskorpus_stu_08 \| 61+f We visited them often; people cried a lot each time.
r	$GEST-OFF^	$GEST-DECLINE1^	TO-VISIT-OR-TO-ATTEND1A*	TO-CRY1*	$GEST-OFF^
l	$GEST-OFF^	$GEST-DECLINE1^	TO-VISIT-OR-TO-ATTEND1A*	TO-CRY1*	$GEST-OFF^
m		oft	mal besuchen	weinen
Stuttgart \| dgskorpus_stu_08 \| 61+f Everyone is so happy- one just has to cry. It can be a really good feeling, as well. Yes, that's right.
r			I1	TO-CRY1*	FEELING3
l				TO-CRY1*	FEELING3	YES1A
m				[MG]	gefühl
Stuttgart \| dgskorpus_stu_12 \| 46-60f I've seen it happening; it’s so sad.
r	INTO2*	WE2*	I1	TO-CRY1*
l
m				[MG]
Stuttgart \| dgskorpus_stu_18 \| 18-30m No, no. Just me. My brother also cried.
r	I1*	BROTHER1A	YES1A	TO-CRY1*	YES1A	$GEST-OFF^
l		BROTHER1A				$GEST-OFF^
m	ich	bruder	ja	[MG]	ja	auch

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