Sciweavers

ACL   2004 Meeting of the Association for Computational Linguistics
Wall of Fame | Most Viewed ACL-2004 Paper
ACL
2004
14 years 25 days ago
Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
Brian Roark, Murat Saraclar, Michael Collins, Mark...
Disclaimer and Copyright Notice
Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.
IdReadViewsTitleStatus
1Download preprint from source198
2Download preprint from source188
3Download preprint from source185
4Download preprint from source165
5Download preprint from source162
6Download preprint from source147
7Download preprint from source141
8Download preprint from source139
9Download preprint from source138
10Download preprint from source137
11Download preprint from source135
12Download preprint from source135
13Download preprint from source134
14Download preprint from source132
15Download preprint from source129
16Download preprint from source128
17Download preprint from source127
18Download preprint from source126
19Download preprint from source125
20Download preprint from source124
21Download preprint from source123
22Download preprint from source122
23Download preprint from source122
24Download preprint from source122
25Download preprint from source121
26Download preprint from source121
27Download preprint from source119
28Download preprint from source118
29Download preprint from source116
30Download preprint from source114
31Download preprint from source114
32Download preprint from source113
33Download preprint from source113
34Download preprint from source112
35Download preprint from source112
36Download preprint from source110
37Download preprint from source109
38Download preprint from source109
39Download preprint from source108
40Download preprint from source107
41Download preprint from source107
42Download preprint from source106
43Download preprint from source104
44Download preprint from source103
45Download preprint from source103
46Download preprint from source102
47Download preprint from source101
48Download preprint from source100
49Download preprint from source99
50Download preprint from source96
51Download preprint from source94
52Download preprint from source93
53Download preprint from source93
54Download preprint from source93
55Download preprint from source92
56Download preprint from source92
57Download preprint from source92
58Download preprint from source91
59Download preprint from source89
60Download preprint from source89
61Download preprint from source89
62Download preprint from source88
63Download preprint from source88
64Download preprint from source83
65Download preprint from source78
66Download preprint from source75
67Download preprint from source71
68Download preprint from source71
69Download preprint from source52