sumanthd/IndicTrans-MultilingualTranslation
6
1INDIC_NLP_LIB_HOME = "indic_nlp_library"2INDIC_NLP_RESOURCES = "indic_nlp_resources"3import sys4 5from indicnlp import transliterate6 7sys.path.append(r"{}".format(INDIC_NLP_LIB_HOME))8from indicnlp import common9 10common.set_resources_path(INDIC_NLP_RESOURCES)11from indicnlp import loader12 13loader.load()14from sacremoses import MosesPunctNormalizer15from sacremoses import MosesTokenizer16from sacremoses import MosesDetokenizer17from collections import defaultdict18 19import indicnlp20from indicnlp.tokenize import indic_tokenize21from indicnlp.tokenize import indic_detokenize22from indicnlp.normalize import indic_normalize23from indicnlp.transliterate import unicode_transliterate24 25 26def postprocess(27 infname, outfname, input_size, lang, common_lang="hi", transliterate=False28):29 """30 parse fairseq interactive output, convert script back to native Indic script (in case of Indic languages) and detokenize.31 32 infname: fairseq log file33 outfname: output file of translation (sentences not translated contain the dummy string 'DUMMY_OUTPUT'34 input_size: expected number of output sentences35 lang: language36 """37 38 consolidated_testoutput = []39 # with open(infname,'r',encoding='utf-8') as infile:40 # consolidated_testoutput= list(map(lambda x: x.strip(), filter(lambda x: x.startswith('H-'),infile) ))41 # consolidated_testoutput.sort(key=lambda x: int(x.split('\t')[0].split('-')[1]))42 # consolidated_testoutput=[ x.split('\t')[2] for x in consolidated_testoutput ]43 44 consolidated_testoutput = [(x, 0.0, "") for x in range(input_size)]45 temp_testoutput = []46 with open(infname, "r", encoding="utf-8") as infile:47 temp_testoutput = list(48 map(49 lambda x: x.strip().split("\t"),50 filter(lambda x: x.startswith("H-"), infile),51 )52 )53 temp_testoutput = list(54 map(lambda x: (int(x[0].split("-")[1]), float(x[1]), x[2]), temp_testoutput)55 )56 for sid, score, hyp in temp_testoutput:57 consolidated_testoutput[sid] = (sid, score, hyp)58 consolidated_testoutput = [x[2] for x in consolidated_testoutput]59 60 if lang == "en":61 en_detok = MosesDetokenizer(lang="en")62 with open(outfname, "w", encoding="utf-8") as outfile:63 for sent in consolidated_testoutput:64 outfile.write(en_detok.detokenize(sent.split(" ")) + "\n")65 else:66 xliterator = unicode_transliterate.UnicodeIndicTransliterator()67 with open(outfname, "w", encoding="utf-8") as outfile:68 for sent in consolidated_testoutput:69 if transliterate:70 outstr = indic_detokenize.trivial_detokenize(71 xliterator.transliterate(sent, common_lang, lang), lang72 )73 else:74 outstr = indic_detokenize.trivial_detokenize(sent, lang)75 outfile.write(outstr + "\n")76 77 78if __name__ == "__main__":79 # # The path to the local git repo for Indic NLP library80 # INDIC_NLP_LIB_HOME="indic_nlp_library"81 # INDIC_NLP_RESOURCES = "indic_nlp_resources"82 # sys.path.append('{}'.format(INDIC_NLP_LIB_HOME))83 # common.set_resources_path(INDIC_NLP_RESOURCES)84 # # The path to the local git repo for Indic NLP Resources85 # INDIC_NLP_RESOURCES=""86 87 # sys.path.append('{}'.format(INDIC_NLP_LIB_HOME))88 # common.set_resources_path(INDIC_NLP_RESOURCES)89 90 # loader.load()91 92 infname = sys.argv[1]93 outfname = sys.argv[2]94 input_size = int(sys.argv[3])95 lang = sys.argv[4]96 if len(sys.argv) == 5:97 transliterate = False98 elif len(sys.argv) == 6:99 transliterate = sys.argv[5]100 if transliterate.lower() == "true":101 transliterate = True102 else:103 transliterate = False104 else:105 print(f"Invalid arguments: {sys.argv}")106 exit()107 108 postprocess(109 infname, outfname, input_size, lang, common_lang="hi", transliterate=transliterate110 )111 