first version of gpsr2 grammar

psConfig/tasks/gpsr/gpsr.conf

@@ -12,3 +12,10 @@ rsbscope=/speechrec/psa/gpsrMain;
 bestpath=no;
 autoload=yes;
 
+[pocketsphinxinstance]
+name=speechRecognition;
+dict=../../../psGrammar/dictionary/tobiDic.dic;
+jsgf=../../../psGrammar/tasks/speechRecognition/speechRecognition.jsgf;
+rsbscope=/speechrec/psa/speechRecognition;
+bestpath=no;
+autoload=yes;

psGrammar/tasks/gpsr/gpsr2.jsgf

+#JSGF V1.0;
+grammar speechRecognition;
+
+public <sentence> = ([tobi | biron] <VP1> [([and|then] <VP2>)] [([and|then] <VP3>)]);
+
+
+<VP1> 		= (<VP_tritrans> | <VP_bitrans> | <VP_trans> );
+<VP2> 		= (<VP_tritrans> | <VP_bitrans> | <VP_trans> );
+<VP3> 		= (<VP_tritrans> | <VP_bitrans> | <VP_trans> );
+
+<VP_trans> = <findObj> | <findPrs> | <followPrs> | <gotoLoc> | <speakInfo> | <answer> ;
+<VP_bitrans> = <deliverObjToLoc> | <deliverObjToPrs> | <findObjInLoc> | <findPrsInLoc> | <followPrsToLoc> | <takeObjFromLoc> | <guideToLoc>;
+<VP_tritrans> = <deliverObjToPrsInLoc>;
+
+<findObj> = <V_find> (<NP_object> | <NP_objectpron>);
+<findPrs> = <V_find> (<NP_person> | <NP_personalpron>); 
+<followPrs> = <V_follow> (<NP_person> | <NP_personalpron>);
+<gotoLoc> = <V_goto> <NP_place>;
+<speakInfo> = <V_speak> <NP_talk>;
+<answer> = <V_answer> <NP_answer>;
+
+<guideToLoc> = <V_guide> (<NP_object> | <NP_objectpron>) <deliverPrep> <NP_place>;
+<deliverObjToLoc> = <V_deliver> (<NP_object> | <NP_objectpron>) <deliverPrep> <NP_place>;
+<deliverObjToPrs> = <V_deliver> (<NP_object> | <NP_objectpron>) <deliverPrep> (<NP_person> | <NP_personalpron>);
+<findObjInLoc> = <V_find> (<NP_object> | <NP_objectpron>) <Prep> <NP_place>;
+<findPrsInLoc> = <V_find> (<NP_person> | <NP_personalpron>) <Prep> <NP_place>;
+<followPrsToLoc> = <V_follow> (<NP_person> | <NP_personalpron>) <Prep> <NP_place>;
+<takeObjFromLoc> = <V_take> (<NP_object> | <NP_objectpron>) <takePrep> <NP_place>;
+
+<deliverObjToPrsInLoc> = <V_deliver> (<NP_object> | <NP_objectpron>) <deliverPrep> (<NP_person> | <NP_personalpron>) <Prep> <NP_place>;
+
+<V_deliver> 	= (bring | bear | carry | deliver | fetch | transport | take);
+<V_find>	= (find | (look for) | search);
+<V_follow> 	= (follow);
+<V_goto> 	= ((go (to|into)) | (navigate (to|into)) | reach | (get (to|into)) | (move (to|into)) | (drive (to|into)));
+<V_take> 	= (take | grasp | get | pick | grab);
+<V_speak> 	= (tell | say | speak);
+<V_answer> 	= (answer);
+<V_guide>	= guide | take | bring;
+
+<NP_place> 	= (the <N_place>) | (a <N_place>) | (an <N_place>) | (<N_place>);
+<NP_object> 	= (the <N_object>) | (a <N_object>) | (an <N_object>) | (<N_object>);
+<NP_person> 	= (a <N_names>)|( the <N_names>) | (<N_names>);
+<NP_objectpron>	= <N_objectpron>;
+<NP_personalpron> = <N_personalpron>;
+<NP_talk>	= <N_talk>;
+<NP_answer> 	= <N_answer>;
+
+
+<N_place> = (bedroom | chair | bin | bed | (bathroom locker) | bathroom | (dining room) | shelf | (dinner table) | hall | (kitchen table) | kitchen | corridor);
+<N_object> = (milk | coke | (orange juice) | beer | apple | banana | orange | pear | lays | crackers | pringles | chocolate | cloth | detergent | sponge | brush | <N_random_object> );
+
+<N_random_object> = (<color> <object> | <shape> <object> | <color> <shape> <object> | <shape> <color> <object>);
+<color> = (green | red | blue | black | white | yellow | purple | pink | brown | orange);
+<shape> = (round | angular | edgy | little | small | big | huge);
+
+
+<Prep> = from | at | (which is in) | (who is in) | in | to | into;
+<deliverPrep> = to;
+<takePrep> = from | (which is in);
+
+
+<N_personalpron> = her | him | his | them | their;
+<N_objectpron> = it;
+<N_names> = (anna | beth | carmen | jennifer | jessica | kimberly | kristina | laura | mary | sarah | alfred | charles | daniel | james | john | luis | paul | richard | robert | steve | person |(calling person) | me);
+<N_talk> = (your name) | (the name of your team) | (the time) | (what time is it) | (the date) | (what day is today) | (what day is tomorrow) | (the day of the month) | (the day of the week);
+<N_answer> =  (a question) | (question);

psGrammar/tasks/gpsr/gpsr2_report.jsgf

+#JSGF V1.0;
+grammar speechRecognition;
+
+public <sentence> = blablas;
+