# noun_phrase.gra - AGFL grammar module of the Russian grammar for noun phrase description 
# for Information Retrieval. 
#  This file is a module of the Russian Parser for Information Retrieval (RuForIR) AGFL grammar,
#  version 2.1, 25.10.2002.
#  It can be processed usg the AGFL parser generator to generate the RuForIR parser.
#
#  The grammar is based on the Affix Grammar for Basic Russian.
#    Original version 1997
#    Updated by I. Azarova, 2002
#
#  Copyright 1997-2002 Saint-Petersburg University



terminal_noun (GENDER, ANIM, NUMBER, CASE) : 
       nounf (GENDER, ANIM, NUMBER, CASE, LEMMA1) / 
                                      "\n\t\t\t<w>", nounf,   
                                      "\n\t\t\t<morphData POS=\"noun\" LEMMA=\"", LEMMA1, "\" GENDER=\"", GENDER,
                                      "\" ANIM=\"", ANIM,
                                      "\" NUMBER=\"", NUMBER,
                                      "\" CASE=\"", CASE, "\"/>\n\t\t\t</w>".

terminal_pron (PERSON, NUMBER, CASE) : 
       pron (PERSON, NUMBER, CASE, LEMMA2) / 
                                      "\n\t\t\t<w>", pron, 
                                      "\n\t\t\t<morphData POS=\"persPronoun\" LEMMA=\"", LEMMA2, "\" PERSON=\"", 
                                        PERSON, "\" NUMBER=\"", NUMBER,
                                      "\" CASE=\"", CASE, "\"/>\n\t\t\t</w>".

terminal_pron_th (GENDER, third, NUMBER, CASE) : 
       pron_th (GENDER, NUMBER, CASE, non, LEMMA2) / 
		"\n\t\t\t<w>", pron_th, 
		"\n\t\t\t<morphData POS=\"persPronoun\" LEMMA=\"", LEMMA2,
		"\" GENDER=\"", GENDER, 
		"\" PERSON=\"third", "\" NUMBER=\"", NUMBER,
		"\" CASE=\"", CASE, "\"/>\n\t\t\t</w>".

terminal_pron_th_prep (GENDER, third, NUMBER, CASE) : 
       pron_th (GENDER, NUMBER, CASE, post, LEMMA2) / 
		"\n\t\t\t<w>", pron_th, 
		"\n\t\t\t<morphData POS=\"persPronoun\" LEMMA=\"", LEMMA2,
		"\" GENDER=\"", GENDER, 
		"\" PERSON=\"third", "\" NUMBER=\"", NUMBER,
		"\" CASE=\"", CASE, "\"/>\n\t\t\t</w>".

terminal_pronoun (ANIM, CASE, PROTY) : 
       pron_oth (ANIM, CASE, PROTY, LEMMA)/ 
                                      "\n\t\t\t<w>", pron_oth, 
                                      "\n\t\t\t<morphData POS=\"pronoun\" LEMMA=\"", LEMMA, "\" PROTYPE=\"", PROTY, "\" ANIM=\"", 
                                        ANIM, "\" CASE=\"", CASE, "\"/>\n\t\t\t</w>".
prepositional_terminal_pronoun (ANIM, CASE, PROTY):        
	pron_oth_prep (ANIM, CASE, PROTY, LEMMA)/ 
                                      "\n\t\t\t<w>", pron_oth_prep, 
						  "\n\t\t\t<morphData POS=\"preposition\" CASE=\"", CASE, "\"/>",
                                      "\n\t\t\t<morphData POS=\"pronoun\" LEMMA=\"", LEMMA, "\" PROTYPE=\"", PROTY, "\" ANIM=\"", 
                                        ANIM, "\" CASE=\"", CASE, "\"/>\n\t\t\t</w>".



terminal_adjective (GENDER, ANIM, NUMBER, CASE): 
       adjf (GENDER, ANIM, NUMBER, CASE, LEMMA3) /  
                                      "\n\t\t\t<w>", adjf, 
                                      "\n\t\t\t<morphData POS=\"adjective\" LEMMA=\"", LEMMA3, "\" GENDER=\"", GENDER,
                                      "\" ANIM=\"", ANIM,
                                      "\" NUMBER=\"", NUMBER,
                                      "\" CASE=\"", CASE, "\"/>\n\t\t\t</w>".

terminal_numeral (QUANT, CASE, GENDER) : 
       numer (QUANT, CASE, GENDER, VALUE) / 
                                      "\n\t\t\t<w>", numer,   
                                      "\n\t\t\t<morphData POS=\"numeral\" VALUE=\"", VALUE, "\" GENDER=\"", GENDER,
                                      "\" QUANT=\"", QUANT,
                                      "\" CASE=\"", CASE, "\"/>\n\t\t\t</w>".

terminal_preposition (CASE_ALL): prep (PREPTYPE,CASE_ALL) /
                                    "\n\t\t\t<w>", prep,                                       
                                    "\n\t\t\t<morphData POS=\"preposition\" CASE=\"", CASE_ALL, "\"/>\n\t\t\t</w>".