Bug: pd.read_csv does not read lines with data containing leading quotes but not matching close quotes
#### Code Sample, a copy-pastable example if possible
pd.read_csv("pandas_bug.tsv", sep="\t", index_col=None, header=None, encoding='utf-8', skip_blank_lines=True, quotechar='"')
#### Problem description

The pandas_bug.tsv looks like this
3	abc	5.6
4	"abc"	4.3
5	"error	3.3

This code line results in an error
ParserError: Error tokenizing data. C error: EOF inside string starting at line 2

for another case in a larger file, this error does not occur and pandas silently skips some lines, however, when converting the same tsv file to json via file io, the pandas read_json function handles this gracefully and adds an escape character in front of the string. e.g. \"error

#### Expected Output
	0	1	2
0	3	abc	5.6
1	4	abc	4.3
2	5	\"error	3.3

#### Output of ``pd.show_versions()``

<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.22.0
pytest: 3.7.0
pip: 10.0.1
setuptools: 36.2.7
Cython: 0.28.2
numpy: 1.14.5
scipy: 1.0.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.5
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.4
lxml: 4.2.4
bs4: 4.6.0
html5lib: 0.9999999
sqlalchemy: 1.2.7
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
</details>
