言語処理100本ノック 2020「46. 動詞の格フレーム情報の抽出」
問題文
問題の概要
問題文に提示された仕様に従って出力します。
class Morph: def __init__(self, dc): self.surface = dc['surface'] self.base = dc['base'] self.pos = dc['pos'] self.pos1 = dc['pos1'] class Chunk: def __init__(self, morphs, dst): self.morphs = morphs # 形態素(Morphオブジェクト)のリスト self.dst = dst # 係り先文節インデックス番号 self.srcs = [] # 係り元文節インデックス番号のリスト def parse_cabocha(block): def check_create_chunk(tmp): if len(tmp) > 0: c = Chunk(tmp, dst) res.append(c) tmp = [] return tmp res = [] tmp = [] dst = None for line in block.split('\n'): if line == '': tmp = check_create_chunk(tmp) elif line[0] == '*': dst = line.split(' ')[2].rstrip('D') tmp = check_create_chunk(tmp) else: (surface, attr) = line.split('\t') attr = attr.split(',') lineDict = { 'surface': surface, 'base': attr[6], 'pos': attr[0], 'pos1': attr[1] } tmp.append(Morph(lineDict)) for i, r in enumerate(res): res[int(r.dst)].srcs.append(i) return res filename = 'ch05/ai.ja.txt.cabocha' with open(filename, mode='rt', encoding='utf-8') as f: blocks = f.read().split('EOS\n') blocks = list(filter(lambda x: x != '', blocks)) blocks = [parse_cabocha(block) for block in blocks] for b in blocks: for m in b: if len(m.srcs) > 0: pre_morphs = [b[int(s)].morphs for s in m.srcs] pre_morphs_filtered = [list(filter(lambda x: '助詞' in x.pos, pm)) for pm in pre_morphs] pre_surface = [[p.surface for p in pm] for pm in pre_morphs_filtered] pre_surface = list(filter(lambda x: x != [], pre_surface)) pre_surface = [p[0] for p in pre_surface] post_base = [mo.base for mo in m.morphs] post_pos = [mo.pos for mo in m.morphs] if len(pre_surface) > 0 and '動詞' in post_pos: pre_text = list(filter(lambda x: '助詞' in [p.pos for p in x], pre_morphs)) pre_text = [''.join([p.surface for p in pt]) for pt in pre_text] print(post_base[0], ' '.join(pre_surface), ' '.join(pre_text), sep='\t')