Sciweavers

NAACL   1994
Wall of Fame | Most Viewed NAACL-1994 Paper
NAACL
1994
13 years 6 months ago
On-Line Cursive Handwriting Recognition Using Hidden Markov Models and Statistical Grammars
The BYBLOS continuous speech recognition system is applied to on-line cursive handwriting recognition. By exploiting similarities between on-line cursive handwriting and continuou...
John Makhoul, Thad Starner, Richard M. Schwartz, G...
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 source206
2Download preprint from source184
3Download preprint from source180
4Download preprint from source173
5Download preprint from source161
6Download preprint from source148
7Download preprint from source146
8Download preprint from source132
9Download preprint from source131
10Download preprint from source129
11Download preprint from source129
12Download preprint from source128
13Download preprint from source127
14Download preprint from source127
15Download preprint from source127
16Download preprint from source126
17Download preprint from source125
18Download preprint from source124
19Download preprint from source124
20Download preprint from source124
21Download preprint from source123
22Download preprint from source123
23Download preprint from source122
24Download preprint from source120
25Download preprint from source120
26Download preprint from source120
27Download preprint from source117
28Download preprint from source117
29Download preprint from source116
30Download preprint from source114
31Download preprint from source114
32Download preprint from source114
33Download preprint from source113
34Download preprint from source110
35Download preprint from source109
36Download preprint from source109
37Download preprint from source107
38Download preprint from source107
39Download preprint from source106
40Download preprint from source106
41Download preprint from source105
42Download preprint from source105
43Download preprint from source104
44Download preprint from source102
45Download preprint from source102
46Download preprint from source100
47Download preprint from source99
48Download preprint from source99
49Download preprint from source99
50Download preprint from source97
51Download preprint from source96
52Download preprint from source95
53Download preprint from source94
54Download preprint from source92
55Download preprint from source92
56Download preprint from source92
57Download preprint from source92
58Download preprint from source90
59Download preprint from source89
60Download preprint from source89
61Download preprint from source88
62Download preprint from source87
63Download preprint from source87
64Download preprint from source85
65Download preprint from source85
66Download preprint from source84
67Download preprint from source84
68Download preprint from source84
69Download preprint from source82
70Download preprint from source81
71Download preprint from source81
72Download preprint from source80
73Download preprint from source80
74Download preprint from source79
75Download preprint from source78
76Download preprint from source75
77Download preprint from source73
78Download preprint from source72