Standardize loading of different spacy models

[AbinayaM02]

Some of the transformations/filters use different spacy models (en, es, zh, de). The way it is loaded needs to be standardized. The function initialize_models in initialize.py needs to be re-written to accommodate language parameter and the following transformations/filters should be updated.

Once the changes are done, test the modules individually using pytest using the below command,

pytest -s --t=<module_name>

Transformations:

• grapheme_to_phoneme_transformation
• city_names_transformation
• synonym_substitution
• ocr_perturbation
• change_person_named_entities
• antonyms_substitute
• emojify
• sentence_reordering
• transformer_fill
• auxiliary_negation_removal
• correct_common_misspellings
• word_noise
• yes_no_question
• subject_object_switch
• dyslexia_words_swap
• close_homophones_swap
• gender_neutral_rewrite
• tense
• adjectives_antonyms_switch
• abbreviation_transformation
• hashtagify
• token_replacement
• mr_value_replacement
• urban_dict_swap
• syntactically_diverse_paraphrase
• yoda_transform
• disability_transformation
• replace_numerical_values
• unit_converter
• suspecting_paraphraser
• change_date_format
• negate_strengthen
• gender_culture_diverse_name
• lexical_counterfactual_generator
• change_two_way_ne
• gender_culture_diverse_name_two_way
• replace_abbreviation_and_acronyms
• replace_financial_amounts
• slangificator
• summarization_transformation
• pinyin
• gender_neopronouns
• spanish_gender_swap
• add_hashtags

Filters:

• question_filter
• length
• polarity
• yesno_question
• keywords
• soundex
• numeric
• code_mixing
• speech_tag
• quantitative_ques
• group_inequity
• token_amount