Here is the text we could read:
GUILTY PLEA COLLOQUY
THẢO LUẬN VỀ NHẬN TỘI
Commonwealth of Pennsylvania
Tiểu bang Pennsylvania
v./kiện với
Docket No:
Sổ ghi án của Tòa số:
Case Filed:
Vụ việc:
OTN:
Số theo dõi OTN:
COMMONWEALTH OF PENNSYLVANIA
COUNTY OF
TIỂU BANG PENNSYLVANIA
QUẬN
Mag. Dist. No:
Tòa sơ thẩm số:
MDJ Name:
Tên thẩm phán:
Address:
Địa chỉ:
elephone:
Điện thoại:
T
Charge(s)
(Các) cáo buộc
Permissible range of sentence and/or fines:
Mức phạt và/hoặc tiền phạt được luật cho phép:
I,_________________, understand the nature of the charges
to which I am pleading guilty.
Tôi, _________________, hiểu thực chất các cáo buộc mà tôi
muốn nhận tội.
I, _________________, acknowledge that there is a factual
basis for this plea.
Tôi, _________________, nhìn nhận việc nhận tội này dựa
trên một số bằng chứng có thật.
I, _________________, understand that I am presumed
innocent until I am proven guilty.
Tôi, _________________, hiểu rằng tôi được xem là vô tội
cho tới khi có bằng chứng kết tội tôi.
I, _________________, am aware of the permissible range of
sentences and/or fines for the offenses with which I am
charged.
In third degree misdemeanor cases, please complete:
I, _________________, understand that I have a right to trial
by jury.
Tôi, _________________, biết rằng có mức phạt và/hoặc tiền
phạt được luật cho phép đối với các vi phạm mà tôi bị cáo
buộc.
Đối với tội nhẹ cấp 3, xin ghi thêm như sau:
Tôi, _________________, hiểu rằng tôi có quyền được xử
bằng bồi thẩm đoàn.
I knowingly, voluntarily, and intelligently make this plea
of GUILTY.
Tôi xác nhận mình đưa ra lời NHẬN TỘI này một cách cố
ý, tự nguyện và minh mẫn.
I PLEAD GUILTY.
TÔI XIN NHẬN TỘI.
__________________________________________
(Defendant/Bị đơn)
__________________________________________
(Date/Ngày)
FREE INTERPRETER
THÔNG DỊCH VIÊN MIỄN PHÍ
www.pacourts.us/language-rights
Guilty Plea Colloquy (English/Vietnamese)-Translated on 10/8/2021
1
DJS 408B
M
Microsoft Word - 408B
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About This Form:
- Sourced from www.pacourts.us (2023-03)
- Page(s): 1
- Fields(s): 23
- Average fields per page: 23
- Reading Level: Grade 7
- LIST Grouping(s):
GO-00-00-00-00.
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Identified Data Fields:
We have done our best to automaticly identify and name form fields according to our naming conventions.
When possible, we've used names tied to our question library. See e.g., user1_name.
If we think we've found a match to a question in our library, it is highlighted in green. Novel names are auto generated. So, you will probably need to edit some of them if you're trying to stick to the convention.
Here are the fields we could identify.
county__1 was County (0.54 conf)county__2 was County1 (0.35 conf)mag_dist was Mag. Dist. No: (0.43 conf)md_j_name was MDJ Name: (0.35 conf)address was Address: (0.33 conf)telephone was Telephone: (0.44 conf)docket was Docket No: (0.37 conf)case_filed was Case Filed: (0.42 conf)ot_n was OTN: (0.45 conf)charge__1 was Charge(s) (0.38 conf)charge__2 was Charge(s) 1 (0.38 conf)text__1 was Text3 (0.35 conf)text__2 was Text4 (0.35 conf)text__3 was Text5 (0.35 conf)text__4 was Text6 (0.35 conf)text__5 was Text7 (0.35 conf)text__6 was Text8 (0.35 conf)text__7 was Text1 (0.35 conf)text__8 was Text9 (0.35 conf)text__9 was Text2 (0.35 conf)text__10 was Text10 (0.35 conf)defendant was Defendant (1.00 conf)signature_date was Date (1.00 conf)
We've done our best to group similar variables togther to avoid overwhelming the user.
Suggested Screen 0:
Suggested Screen 1:
Suggested Screen 2:
Suggested Screen 3:
Suggested Screen 4:
county__1county__2charge__1charge__2text__1text__2text__3text__4text__5text__6text__7text__8text__9text__10signature_date
Suggested Screen 5:
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