{'fraction_non_alphanumeric': 0.016861219195849545, 'fraction_numerical': 0.0, 'mean_word_length': 4.475177304964539, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A survey of Named Entity Recognition in English and other Indian Languages

In this paper, a survey is done on various approaches used to recognize name entity in various Indian languages. Firstly, the introduction is given about the work done in the NER task. Then a survey is given about the work done in recognition of name entities in English and other foreign languages like Spanish, Chinese etc. In English language, lots of work has been done in this field, where capitalization is a major clue for making rules. Secondly, a survey is given regarding the work done in Indian Languages. As Punjabi is one of the Indian languages and also the official language of Punjab. In next part, survey is given on Punjabi Language regarding what work is done and what work is