companydirectorylist.com  Global Business Directories and Company Directories
Search Business,Company,Industry :


Country Lists
USA Company Directories
Canada Business Lists
Australia Business Directories
France Company Lists
Italy Company Lists
Spain Company Directories
Switzerland Business Lists
Austria Company Directories
Belgium Business Directories
Hong Kong Company Lists
China Business Lists
Taiwan Company Lists
United Arab Emirates Company Directories


Industry Catalogs
USA Industry Directories












Company Directories & Business Directories

CORPUS CHRISTI PROPERTIES; INC.

CORPUS CHRISTI-USA

Company Name:
Corporate Name:
CORPUS CHRISTI PROPERTIES; INC.
Company Title: Lamar Park - Extraordinary Shopping 
Company Description:  
Keywords to Search:  
Company Address: 3817 S. Alameda 3817 S. Alameda,CORPUS CHRISTI,TX,USA 
ZIP Code:
Postal Code:
78410 
Telephone Number: 5128548885 (+1-512-854-8885) 
Fax Number:  
Website:
lamarpark. com 
Email:
 
USA SIC Code(Standard Industrial Classification Code):
7319 
USA SIC Description:
Media services 
Number of Employees:
 
Sales Amount:
 
Credit History:
Credit Report:
 
Contact Person:
 
Remove my name



copy and paste this google map to your website or blog!

Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples:
WordPress Example, Blogger Example)









Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer

(Any information to deal,buy, sell, quote for products or service)

Your Subject:
Your Comment or Review:
Security Code:



Previous company profile:
KESSLING SERVICES
REALTY BASICS
GULF COAST PAPER CO
Next company profile:
APICES APPRAISAL GROUP; LLC.
OUR RELIGION MUSIC
F C TUCKER/OBR; REALTORS










Company News:
  • Integrating BCC Corpus Data into Dictionary - Pleco Software Forums
    The BCC corpus seems to have pretty loose licensing terms Pleco already seems to be using frequency data to sort the search results Adding them meaningfully to dictionary definitions would be even better, I believe That is something which printed dictionaries can’t do
  • Word frequency list based on a 15 billion character corpus: BCC (BLCU . . .
    The Beijing Language and Culture University created a balanced corpus of 15 billion characters It’s based on news (人民日报 1946-2018,人民日报海外版 2000-2018), literature (books by 472 authors, including a significant portion of non-Chinese writers), non-fiction books, blog and weibo entries as well as
  • Word frequency list based on a 15 billion character corpus: BCC (BLCU . . .
    I would read in the BCC corpus frequency list as a dictionary, then Having concatenated all the news magazine articles as plain text, I would build a dictionary of all the words in the news magazine articles up to 8 characters long, counting their number of occurrences with the help of the BCC frequency list (which tells us which combinations
  • Common Idioms; A Collection by Grade [HSK old HSK 中考 高考 . . . ]
    The corpus is much larger than the CCL (470 million characters), the CNC (100 million characters), the SUBTLEX-CH (47 million characters) and the LCMC (less than 2 million characters) It seems as if the frequency lists derived from this corpus might be the most reliable frequency lists currently available
  • Integrating BCC Corpus Data into Dictionary
    I guess in my case, I could go with per-corpus flashcard sets to keep the per-corpus tagging, and one user dictionary (without tags) with all the per-corpus ranking info included in one entry per term
  • Bigrams sorted by frequency with pinyin English?
    The Beijing Language and Culture University created a balanced corpus of 15 billion characters It’s based on news (人民日报 1946-2018,人民日报海外版 2000-2018), literature (books by 472 authors, including a significant portion of non-Chinese writers), non-fiction books, blog and weibo entries as well as
  • audio recording corpus | Pleco Software Forums
    Hey Mike, I'm a big user of vocab lists and I'm about 1 5 months away from finishing the HSK4 list Recently I've been studying some colloquial stuff and have found that not only are a good number of colloquialisms covered in the dictionaries but they also have audio This leads me to wonder
  • Media-related vocabulary gathering project - Pleco Software Forums
    With a small corpus of 650 articles from People's Daily, downloaded using a Python script, I hope to start providing a more modern frequency list of media-related vocabulary The frequency list has the following features: It uses all sections of the 人民日报 People's Daily newspaper, including the sports section
  • Most commonly used words characters into flashcards. . .
    The Beijing Language and Culture University created a balanced corpus of 15 billion characters It’s based on news (人民日报 1946-2018,人民日报海外版 2000-2018), literature (books by 472 authors, including a significant portion of non-Chinese writers), non-fiction books, blog and weibo entries as well as




Business Directories,Company Directories
Business Directories,Company Directories copyright ©2005-2012 
disclaimer