From eeffa16ec9c8bdeb30ed8059eebe8363f8b89271 Mon Sep 17 00:00:00 2001 From: Tan Kian-ting Date: Mon, 8 Apr 2024 02:50:34 +0800 Subject: [PATCH] add 3rd --- 3rd/LICENSE | 28 +++++ 3rd/model.db | Bin 0 -> 937984 bytes 3rd/pakkau.py | 302 ++++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 330 insertions(+) create mode 100644 3rd/LICENSE create mode 100644 3rd/model.db create mode 100644 3rd/pakkau.py diff --git a/3rd/LICENSE b/3rd/LICENSE new file mode 100644 index 0000000..9bd6865 --- /dev/null +++ b/3rd/LICENSE @@ -0,0 +1,28 @@ +<<<<<<< HEAD +MIT License + +Copyright (c) 2024 Tan, Kian-ting + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +======= +all the csv files are published by Ministry of Education, under CC BY-NC-SA TW 3.0 + +source code: +under MIT License +>>>>>>> ba6c568 (initial) diff --git a/3rd/model.db b/3rd/model.db new file mode 100644 index 0000000000000000000000000000000000000000..d53745331e43432abc2d219e03834881cb04bac7 GIT binary patch literal 937984 zcmeFaX?&d3dH+3{eeQG4JvO#6#uyvSzL=e`2S|XhlaK_Guw)EEGsqe#SVNjXf@WX6 z;eErBZH#O!Ua>99Oa2*?q?EKtvo>woCXXfCX_L@qYn!%tzSkMav@f2w&*%Tb{(KPn z-Rrr}a(&Oa&UKC+|M)|R&gNM!w7=9A>zs9+XM(4x$#dtdSssta%YP&MH~!DZFaB}C z|C|2D@Bd%FdOdTVc))Ph7rnp}eLMOk{&)J{=^Qwn1E+J~bPk-(fzvr~ItNbY!08+~ zodc(H;B*e0&Vm0cbKr4baO!#IHO=pg&7IfW`BE%7Khc?JPk!**oR56sp1VGI&#X`0 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x[0], cur.execute('''select initial.freq FROM initial + INNER JOIN pronounce ON pronounce.hanji = initial.char + WHERE pronounce.lomaji = ?''', (small_capized[i], )).fetchall())) + + if char_freqs == []: + return_result[i] = filtered[i] + homophones_sequence[i] = [{"char": filtered[i], + "prev_char": None, + "prob" : 1}] + prev_char = "" + max_prob = -math.inf + for m in homophones_sequence[i-1]: + if m['prob'] > max_prob: + max_prob = m['prob'] + prev_char = m['char'] + homophones_sequence[i][0]['prob'] = max_prob + homophones_sequence[i][0]['prev_char'] = prev_char + else: + total_transition_freq = cur.execute(''' +SELECT sum(t.freq) +FROM transition as t +INNER JOIN pronounce as p1 ON p1.hanji = t.prev_char +INNER JOIN pronounce as p2 ON p2.hanji = t.next_char +where p2.lomaji = ? and p1.lomaji = ?''', + (small_capized[i], small_capized[i-1])).fetchall()[0][0] + for j in homophones_sequence[i]: + prev_char = None + max_prob = -math.inf + + for k in homophones_sequence[i-1]: + k_to_j_freq_raw = cur.execute('''select freq from transition +where prev_char = ? and next_char = ? ''', (k["char"], j["char"])).fetchall() + if k_to_j_freq_raw == []: + den = cur.execute(''' +SELECT sum(p.freq) +FROM pronounce as p +inner join pronounce as p2 +on p.hanji = p2.hanji where p2.lomaji = ?''', (small_capized[i],)).fetchall()[0][0]#分母 + #分子 + num = cur.execute(''' SELECT sum(freq) FROM pronounce as p where hanji = ?''', (j["char"],)).fetchall()[0][0] + + k_to_j_freq = num/den * (1-weight) + + else: + num = k_to_j_freq_raw[0][0] + don = total_transition_freq + k_to_j_freq =num/don * weight + + if k_to_j_freq * k["prob"] > max_prob: + max_prob = k_to_j_freq * k["prob"] + prev_char = k["char"] + + j["prob"] = max_prob + j["prev_char"] = prev_char + + max_prob = -math.inf + current = "" + prev_char = "" + for i in homophones_sequence[len(homophones_sequence)-1]: + if i["prob"] > max_prob: + max_prob = i["prob"] + current = i["char"] + prev_char = i["prev_char"] + + + + return_result[len(homophones_sequence)-1] = current + + for i in range(len(homophones_sequence)-2, -1, -1): + current_ls = list(filter(lambda x : x["char"] == prev_char, + homophones_sequence[i])) + + return_result[i] = prev_char + current = current_ls[0]["char"] + prev_char = current_ls[0]["prev_char"] + + + + + return return_result + + +def poj_to_tl(sentence): + return sentence + +parser = argparse.ArgumentParser() +parser.add_argument('--genmod', help='generate the model', action='store_true', + required=False,) + +parser.add_argument('sentence', metavar='SENTENCE', nargs='?', + help='the sentence to be converted') +parser.add_argument('--form', metavar='FORM', choices=["poj", "tl"], nargs=1, + default=['poj'], + help='the orthography to be used (poj or tl). Default is poj.') + +args = parser.parse_args() + +if args.genmod == True: + genmod() +elif args.sentence != None: + if args.form == ['poj']: + sentence = poj_to_tl(args.sentence) + convert(sentence) + else: + convert(args.sentence) +else: + parser.print_help() + -- 2.39.2