#!/usr/bin/env python3
# encoding: utf-8
# Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Utility functions for the text translation task."""
import logging
# * ------------------ recognition related ------------------ *
[docs]def parse_hypothesis(hyp, char_list):
"""Parse hypothesis.
:param list hyp: recognition hypothesis
:param list char_list: list of characters
:return: recognition text string
:return: recognition token string
:return: recognition tokenid string
"""
# remove sos and get results
tokenid_as_list = list(map(int, hyp["yseq"][1:]))
token_as_list = [char_list[idx] for idx in tokenid_as_list]
score = float(hyp["score"])
# convert to string
tokenid = " ".join([str(idx) for idx in tokenid_as_list])
token = " ".join(token_as_list)
text = "".join(token_as_list).replace("<space>", " ")
return text, token, tokenid, score
[docs]def add_results_to_json(js, nbest_hyps, char_list):
"""Add N-best results to json.
:param dict js: groundtruth utterance dict
:param list nbest_hyps: list of hypothesis
:param list char_list: list of characters
:return: N-best results added utterance dict
"""
# copy old json info
new_js = dict()
if "utt2spk" in js.keys():
new_js["utt2spk"] = js["utt2spk"]
new_js["output"] = []
for n, hyp in enumerate(nbest_hyps, 1):
# parse hypothesis
rec_text, rec_token, rec_tokenid, score = parse_hypothesis(hyp, char_list)
# copy ground-truth
if len(js["output"]) > 0:
out_dic = dict(js["output"][0].items())
else:
out_dic = {"name": ""}
# update name
out_dic["name"] += "[%d]" % n
# add recognition results
out_dic["rec_text"] = rec_text
out_dic["rec_token"] = rec_token
out_dic["rec_tokenid"] = rec_tokenid
out_dic["score"] = score
# add source reference
out_dic["text_src"] = js["output"][1]["text"]
out_dic["token_src"] = js["output"][1]["token"]
out_dic["tokenid_src"] = js["output"][1]["tokenid"]
# add to list of N-best result dicts
new_js["output"].append(out_dic)
# show 1-best result
if n == 1:
if "text" in out_dic.keys():
logging.info("groundtruth: %s" % out_dic["text"])
logging.info("prediction : %s" % out_dic["rec_text"])
logging.info("source : %s" % out_dic["token_src"])
return new_js