CROWN1B^

	
	59

≙ CROWN1B^ (1 token)
by transcript | by glosses | by right neighbours | by left neighbours
1184089 1184089 | 61+m    Of course, Diana was part of the royal family and then she had an affair; naturally she was given a hard time.
R			CLEAR1A*	CROWN1B^*	KING1B	FAMILY1*	TO-PASS1^
L
M			klar	diana	königsfamilie
= $ORG-BAVARIA-MUNICH1B (1 token)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: Bayern Munich (sports club)
by transcript | by glosses | by right neighbours | by left neighbours
1248090 1248090 | 31-45m    It’s true. FC Bayern Munich was playing at the time.
R	$GEST-NM-NOD-HEAD1^*	RIGHT-OR-AGREED1A	I1	$ORG-BAVARIA-MUNICH1B	FOOTBALL1B	RIGHT-OR-AGREED1A*
L
M	[MG]	stimmt		bayern münchen	fußball
= EMPEROR1B (8 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: emperor
by transcript | by glosses | by right neighbours | by left neighbours
1205503 1205503 | 46-60f    I think I read somewhere that an emperor or king in Germany/
R	YES2^	HERE1	GERMAN1*	EMPEROR1B	KING1A*
L
M	welche	hier	deutschland	kaiser	könig
1246681 1246681 | 61+m    Also close by, next to Heidelberg, is the Kaiserstuhl [low mountain range in the Upper Rhine Valley].
R	$NAME	NEXT-TO1A*	ABOVE1	EMPEROR1B	CHAIR1A
L
M	heidelberg	nebenan	oben	kaiserstuhl
1181455 1181455 | 61+f    Emperor Friedrich's son I think/
R	$GEST-TO-STAY-CALM1^*					SON1*
L		I1	TO-BELIEVE2A	EMPEROR1B*	HIS-HER1
M	friedrich		glaube	kaiser		sohn
1246681 1246681 | 46-60m    Oddly enough, it was the emperor from Kaiserslautern who signed the papers for the city foundation.
R	THROUGH2B	WHAT1B^
L			MUST1A^	EMPEROR1B*	FROM1*	INTELLIGENT1^	HIS-HER1
M	durch	wen	durch	kaiser	aus	kaiserslautern
1181455 1181455 | 61+f    Emperor Friedrich's son I think/
R				EMPEROR1B*	$GEST-TO-STAY-CALM1^*
L			$GEST-TO-PONDER1^			I1	TO-BELIEVE2A
M				kaiser	friedrich		glaube
1181455 1181455 | 61+f    He said, the emperor went to school, but he was dumb.
R				EMPEROR1B*		$GEST-OFF1^	EMPEROR1B*
L			$INDEX1		TO-SAY1*
M				kaiser			kaiser
1181455 1181455 | 61+f    He said, the emperor went to school, but he was dumb.
R	EMPEROR1B*		$GEST-OFF1^	EMPEROR1B*	$GEST^
L		TO-SAY1*				SCHOOL2H	ALSO3A
M	kaiser			kaiser		schule	auch
1181455 1181455 | 61+f    But—congratulations!—he became emperor nevertheless.
R	$GEST-OFF1^		RESULT2B*	EMPEROR1B*	$GEST^	$GEST-OFF1^
L		TO-PRAISE1*
M	aber			kaiser
= KING1B (6 tokens)
Mouth: könig
frontal 45° 90° from above
Translational equivalents: queen; king
by transcript | by glosses | by right neighbours | by left neighbours
1184089 1184089 | 61+m    Of course, Diana was part of the royal family and then she had an affair; naturally she was given a hard time.
R		CLEAR1A*	CROWN1B^*	KING1B	FAMILY1*	TO-PASS1^	DIFFERENT2*
L
M		klar	diana	königsfamilie			anderer
1182517 1182517 | 46-60m    It’s just the same as on 6th of January, on Three Kings' Day, where we went to a nursing home.
R	TO-VISIT-OR-TO-ATTEND1A*	TO-PUT-ON-HEADDRESS1B	$NUM-ONE-TO-TEN1A:3d	KING1B	TOGETHER-PERSON1^*	$GEST^
L
M	altenheim		drei	könig
1211075 1211075 | 46-60f    She used to be responsible for the royal children.
R				KING1B*	CHILD2*	ALWAYS4A*	ALWAYS5A*
L
M				königspaar		immer
1204239 1204239 | 61+m    Recently on the 6th of January, for the Epiphany celebration, in Singen there was something going on/
R	$NUM-ONE-TO-TEN1A:6d*	JANUARY5A*	$NUM-ONE-TO-TEN1A:3d	KING1B*	TO-SING3B	STAMP1^*	$GEST-ATTENTION1^*
L
M	sechs	januar	drei	könig	singen	??
1211075 1211075 | 46-60f    Her charisma, for example, that she helped other people, and that she was the queen of the hearts.
R	HUMAN2*	TO-HELP1*	$LIST1:3of3d	KING1B*	$INDEX1*	HEART2A
L
M	menschen	helfen		königin	vom	herzen
1246681 1246681 | 46-60m    He gave his agreement.
R					TO-SIGN-A-FORM1A
L			SELF1A*	KING1B
M			selbst	könig	unterschrieben
= MUNICH1B (28 tokens)
Mouth: münchen
frontal 45° 90° from above
Translational equivalent: Munich (city in the federal state of Bavaria)
by transcript | by glosses | by right neighbours | by left neighbours
1209309-13425110-13472919 1209309-… | 31-45m    In Munich, it’s well-known, all over the world.
R				MUNICH1B*	WELL-KNOWN1B	$INDEX2*	WORLD1
L
M				bekannt			weltbekannt»
1209309-13425110-13472919 1209309-… | 31-45m    In Munich, that’s more.
R				MUNICH1B*	INCREASE2*
L
M				münchen	[MG]
1204694 1204694 | 61+f    Even to Munich.
R				MUNICH1B*	TO-COST2B*	NOTHING1A	BEAUTIFUL3
L			$INDEX1
M				münchen	kostet	nichts	schön
1209910 1209910 | 18-30m    Was it just recently, in Munich?
R			IN1*	MUNICH1B*	YOU1	RECENTLY1B
L
M			in	münchen	du	[MG]
2935384-11295937-11502021 2935384-… | 31-45m    When I went to Realschule [type of secondary school in Germany], it was the same.
R			MIDDLE-SCHOOL1	MUNICH1B*	TO-JOIN1^*	SAME2A*
L
M			real{schule}	münchen		selbe
1209006 1209006 | 18-30m    They where from different cities, for example from Hamburg, Berlin, Munich and, um.
R	BERLIN1A*	HIS-HER1*	$GEST-OFF1^*	MUNICH1B*	HERE1	$GEST-OFF1^*	$$EXTRA-LING-ACT^
L
M	berlin			münchen
1209309-13425110-13472919 1209309-… | 18-30m    I mean the Oktoberfest in Munich.
R		OPINION1B*	$GEST^	MUNICH1B*	$INDEX1*	OCTOBER16*	CELEBRATION1D*
L
M		meinung		münchen		oktoberfest»
1209309-13425110-13472919 1209309-… | 31-45m    Back then, I went to the vocational school there.
R		PAST-OR-BACK-THEN1*	$ALPHA1:W-W	MUNICH1B*	I2*	TO-WRITE1A^*	TO-WORK1*
L
M		früher	b-b-w	münchen			berufsschule»
1433543 1433543 | 31-45m    What other sights are there in Munich?
R	END1^	DIFFERENT1*		MUNICH1B*
L			TO-SEE1		AREA1A*
M	noch	and{ere}	sehenswürdig{keit}	münchen
1209910 1209910 | 18-30m    Recently, there was a Sports Festival in Nuremberg/ No, in Munich or something.
R	NUREMBERG1A*	$INDEX1	$GEST-TO-PONDER1^	MUNICH1B*	IN1	$$EXTRA-LING-ACT^	$GEST-OFF1^*
L
M	n{ürnberg}			münchen
1431222 1431222 | 31-45m    I haven't been to the one in Hamburg, Dresden, or Munich.
R	$LIST1:2of2d	DRESDEN1*		MUNICH1B*	NOT3A*
L			$LIST1:3of3d*
M		dresden		münchen
1209006 1209006 | 18-30m    They were mainly from these three cities - Hamburg, Berlin and Munich.
R	AND2A*	BERLIN1A*	AND2A	MUNICH1B*	ROUND3A^*	$GEST-OFF1^*	$GEST-NM-NOD-HEAD1^
L
M	und	berlin	und	münchen
2935384-11295937-11502021 2935384-… | 31-45m    I could transfer to Munich, so I started first grade there.
R		I1*	TO-MOVE-IN1*	MUNICH1B	$NUM-ORDINAL1:1d	TO-JOIN1*
L
M				münchen	erste	kla{sse}
2935384-11295937-11502021 2935384-… | 31-45m    They said there was one in Munich.
R	TO-LET-KNOW1A	THERE-IS3*	$INDEX1	MUNICH1B	$INDEX1
L
M		gibt		münchen
2935384-11295937-11502021 2935384-… | 31-45m    Comparing Munich and the Allgäu, I find the situation in Munich much better.
R	I2	DIFFERENCE2	$INDEX1	MUNICH1B	AND3*	ALLGÄU1	I1
L
M		unter{schied}	münchen		allgäu		[MG]
1181027 1181027 | 18-30f    Yes, yes. The group from the south, that was three people from around Munich.
R	SOUTH1B	$NUM-ONE-TO-TEN1A:3d	PERSON1*	MUNICH1B	AREA1F*
L
M		drei		münchen
2935384-11295937-11502021 2935384-… | 31-45m    Comparing Munich and the Allgäu, I find the situation in Munich much better.
R	AND3*	ALLGÄU1	I1	MUNICH1B	BETTER1*	TO-SEE1*	AREA1A*
L
M	allgäu		[MG]	münchen	besser
1206010 1206010 | 46-60f    In Munich later/
R			LATER7	MUNICH1B*	$INDEX1
L
M			später	münchen
1209309-13425110-13472919 1209309-… | 31-45m    I know that in Munich/
R			TO-KNOW-STH2B	MUNICH1B*	$INDEX1
L
M			weiß	münchen
1181027 1181027 | 31-45f    I think there were two dancing groups from Munich and Frankfurt/
R	TO-DANCE2*	TO-BELIEVE2A*	$NUM-ONE-TO-TEN1A:2d	MUNICH1B*	AND2A		FRANKFURT1
L						$INDEX1*
M	tanz	glaube	zwei	münchen	und		frankfurt
1431224 1431224 | 31-45m    They were from Munich, Cologne, Hamburg and so on.
R						I1	FROM-OR-BY-OR-OF2*
L			FROM-OR-BY-OR-OF2*	MUNICH1B	TO-COME1*
M			von	münchen	kommen		von
1433543 1433543 | 31-45m    It is a tradition in Munich, but it does also exist elsewhere.
R		TRADITION2A	AREA1A*
L				MUNICH1B	ALWAYS1A*	EQUAL8*	$GEST-DECLINE1^*
M		tradition		mü{nchen}	immer	[MG]
1433543 1433543 | 31-45m    The breweries in Munich aren’t that old.
R
L			MUSCLE3^*	MUNICH1B*	NO1A*
M			[MG]	mü{nchen}	nich{t}
1182135 1182135 | 46-60f    They were from Munich.
R
L			FROM8	MUNICH1B*	TO-BELONG1^
M			aus	münchen
2935384-11295937-11502021 2935384-… | 31-45m    She accompanied me in the train, I watched the landscape, and we went to see the Allgäu and Munich.
R	ALLGÄU1	OR5*	DIRECTION1^		OR5*	HOME6
L				MUNICH1B*
M	allgäu	oder		münchen	oder	heim
1433543 1433543 | 31-45m    What else is there in Munich?
R			AND2A*		STILL1A*
L		TO-LIST1C*		MUNICH1B*		$GEST-OFF1^*
M				mün{chen}	was noch
1433543 1433543 | 31-45m    But the others can’t be sold at Oktoberfest. Only beers from Munich can be sold there.
R	IN-ADDITION1^*	FREE2^*	CAN1*	MUNICH1B*		MUST1*
L					HEADING1^*		NONE7^
M	[MG]	oktoberfest	[MG]	mü{n}ch{en}		muss	[MG]
= PRINCE1B (2 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalents: prince; princess
by transcript | by glosses | by right neighbours | by left neighbours
1211075 1211075 | 46-60f    She was a princess with a big heart. That fit her well.
R			$INDEX1*	PRINCE1B	WITH1A*	HEART2A	ON-PERSON1
L
M				prinzessin	mit	großem	herzen
1182062 1182062 | 46-60f    The Dutch princess had four C-sections.
R				PRINCE1B*	FROM1*	HOLLAND1	$NUM-ONE-TO-TEN1A:4*
L			$INDEX1
M				prinzess	aus	holland

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Types ID	Gloss	HamNoSys	Mouth	iLex	ELAN	SRT	Video frontal	Video 45°	Video 90°	Video from above	Pose
85148	CROWN1B^		∅
88968	$ORG-BAVARIA-MUNICH1B		∅
88983	EMPEROR1B		∅
88953	KING1B		könig
85149	MUNICH1B		münchen
88980	PRINCE1B		∅