paddlenlp.metrics.rouge.po 4.94 KB
Newer Older
yuguo-Jack's avatar
yuguo-Jack committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2021, PaddleNLP
# This file is distributed under the same license as the PaddleNLP package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2022.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: PaddleNLP \n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2022-03-18 21:31+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.9.0\n"

#: ../source/paddlenlp.metrics.rouge.rst:2
msgid "rouge"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL:1
msgid "基类::class:`paddle.metric.metrics.Metric`"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL:1
msgid ""
"Rouge-L is Recall-Oriented Understudy for Gisting Evaluation based on "
"Longest Common Subsequence (LCS). Longest common subsequence problem "
"takes into account sentence level structure similarity naturally and "
"identifies longest co-occurring in sequence n-grams automatically."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL:6
msgid ""
"R_{LCS} & = \\frac{LCS(C,S)}{len(S)}\n"
"\n"
"P_{LCS} & = \\frac{LCS(C,S)}{len(C)}\n"
"\n"
"F_{LCS} & = \\frac{(1 + \\gamma^2)R_{LCS}P_{LCS}}{R_{LCS}} + "
"\\gamma^2{R_{LCS}}"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL:14
msgid "where `C` is the candidate sentence, and `S` is the reference sentence."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL paddlenlp.metrics.rouge.RougeL.add_inst
#: paddlenlp.metrics.rouge.RougeL.lcs paddlenlp.metrics.rouge.RougeLForDuReader
#: paddlenlp.metrics.rouge.RougeLForDuReader.add_inst
msgid "参数"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL:16
msgid "`trans_func` transforms the network output to string to calculate."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL:19
msgid ""
"Vocab for target language. If `trans_func` is None and RougeL is used as "
"`paddle.metric.Metric` instance, `default_trans_func` will be performed "
"and `vocab` must be provided."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL:24
msgid "A hyperparameter to decide the weight of recall. Defaults to 1.2."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL:26
msgid "Name of `paddle.metric.Metric` instance. Defaults to \"rouge-l\"."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL:30
msgid "实际案例"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.lcs:1
msgid "Calculate the length of longest common subsequence of string and sub."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.lcs:3
msgid "The string to be calculated, usually longer the sub string."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.lcs:5
msgid "The sub string to be calculated."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.lcs
msgid "返回"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.lcs:8
msgid "Returns the length of the longest common subsequence of string and sub."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.lcs
msgid "返回类型"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.add_inst:1
#: paddlenlp.metrics.rouge.RougeLForDuReader.add_inst:1
msgid "Update the states based on the a pair of candidate and references."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.add_inst:3
#: paddlenlp.metrics.rouge.RougeLForDuReader.add_inst:3
msgid "The candidate sentence generated by model."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.add_inst:5
#: paddlenlp.metrics.rouge.RougeLForDuReader.add_inst:5
msgid "List of ground truth sentences."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.update:1
msgid "Update states for metric"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.update:3
msgid ""
"Inputs of :code:`update` is the outputs of :code:`Metric.compute`, if "
":code:`compute` is not defined, the inputs of :code:`update` will be "
"flatten arguments of **output** of mode and **label** from data: "
":code:`update(output1, output2, ..., label1, label2,...)`"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.update:8
msgid "see :code:`Metric.compute`"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.accumulate:1
msgid "Calculate the final rouge-l metric."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.reset:1
msgid "Reset states and result"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeL.name:1
msgid "Returns metric name"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeLForDuReader:1
msgid "基类::class:`paddlenlp.metrics.rouge.RougeL`"
msgstr ""

#: of paddlenlp.metrics.rouge.RougeLForDuReader:1
msgid "Rouge-L metric with bonus for DuReader contest."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeLForDuReader:3
msgid ""
"Please refer to `DuReader "
"Homepage<https://ai.baidu.com//broad/subordinate?dataset=dureader>`_ for "
"more details."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeLForDuReader:5
msgid ""
"Weight of YesNo dataset when adding bonus for DuReader contest. Defaults "
"to 1.0."
msgstr ""

#: of paddlenlp.metrics.rouge.RougeLForDuReader:7
msgid ""
"Weight of Entity dataset when adding bonus for DuReader contest. Defaults"
" to 1.0."
msgstr ""