游雁
2023-04-15 b6439f08549df53bcc01eead3a423fa87f09afe4
funasr/datasets/large_datasets/utils/tokenize.py
@@ -18,26 +18,26 @@
def seg_tokenize(txt, seg_dict):
    out_txt = ""
    pattern = re.compile(r"([\u4E00-\u9FA5A-Za-z0-9])")
    for word in txt:
        if pattern.match(word):
            if word in seg_dict:
                out_txt += seg_dict[word] + " "
            else:
                out_txt += "<unk>" + " "
        if word in seg_dict:
            out_txt += seg_dict[word] + " "
        else:
            continue
            out_txt += "<unk>" + " "
    return out_txt.strip().split()
def tokenize(data,
             vocab=None,
             seg_dict=None,
             punc_dict=None):
             punc_dict=None,
             bpe_tokenizer=None):
    assert "text" in data
    assert isinstance(vocab, dict)
    text = data["text"]
    token = []
    vad = -2
    if bpe_tokenizer is not None:
        text = bpe_tokenizer.text2tokens("".join(text))
    if seg_dict is not None:
        assert isinstance(seg_dict, dict)
@@ -47,8 +47,8 @@
    length = len(text)
    for i in range(length):
        x = text[i]
        if i == length-1 and "punc" in data and text[i].startswith("vad:"):
            vad = x[-1][4:]
        if i == length-1 and "punc" in data and x.startswith("vad:"):
            vad = x[4:]
            if len(vad) == 0:
                vad = -1
            else: