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| path(s) |
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.*			/Users/ducrix/Documents/Research
.data		/Users/ducrix/Documents/Research/data
.scripts	/Users/ducrix/Documents/Research/scripts
.output 	/Users/ducrix/Documents/Research/output

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| filename(s) |
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.ceb		extension used for Cebuano files.
			must contain the following string before it can be read.

				#[cebuano_research]

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| packages |
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parse		contains code to parse and extracts specified terms from a text.
			to load: from Parse.[module] import [class]
			
			[modules]:
						__init__.py		notify python that this is a package. 				(see scripts)
						Extractor.py	extract context/concordances, pairs, or word lists. (see scripts)
						Parse.py		parse text into sentences, phrases, or tokens. 		(see scripts)

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| scripts |
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__init__ 	notifies python that container folder is a package

Extractor	extract context/concordances, pairs, or word files.

			[class(es)]	(1) Extractor

			[method(s)]	getContext(word = None, scope = 10, exact = False)
							- gets leading text and trailing text surrounding search term "word".
							- returns: concList = [leading text, search term, trailing text]
								> word:		search term
								> scope:	number of tokens to include in leading and trailing content.
								> exact:	match search term exactly, i.e., case-sensitive search.

						getPairs(word1 = None, word2 = None, includeCount = False, includeSearchTerm = True)
							- gets word pairs adjacent to search terms, i.e., word1, word2, or both
							- returns: pairList = [[word1, word2], [...], ...]
								> word1:				leading anchor, i.e., first position search word
								> word2: 				trailing anchor, i.e., second position search word
								> includeCount:			append count of pairs with each pair, e.g., [[word1, word2, 3], [...], ...]
								> includeSearchTerm:	include the anchor term, e.g., 	if True  and word1 = "sa", [["sa", word2], [...], ...]; 
																						if False and word1 = "sa", [[word2], [...], ...]

						getWordList(lc = True, uc = False)
							- gets a non-duplicate list of all words in the text
							- returns: wordList = [word1, word2, word3, word4, ...]

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| @attributes |
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| #folders |
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data 		holds data that the scripts process. May have subfolders.
output		holds outputs of the scripts. May have subfolders.
scripts		holds the scripts that manipulate the data. May have subfolders, a.k.a, packages.
		
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| procedures |
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1.			get probabilities
			- scrape the text data for certain words (e.g., grammatical particles for cebuano)
				- get context for each one
				
			- 

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| tags |
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numerical ranges [0-9;A-Z]

0000 ------ punctuation
0001		punctuation - other

A000 ------ number
A001		date

1000 ------ noun
1001		noun - name - person
1002		noun - name - place
1003		noun - name - thing
1004		noun - name - event
1005		noun - name - organization
1006		noun - name - proper name

10J1		noun - name - person - with 'nga' adjective
10J2		noun - name - place - with 'nga' adjective
10J3		noun - name - thing - with 'nga' adjective
10J4		noun - name - event - with 'nga' adjective
10J5		noun - name - organization - with 'nga' adjective
10J6		noun - name - proper name - with 'nga' adjective

1010		noun - singular
1020 		noun - plural
1030		noun - collective
1040		noun - dual

1100		noun - nominative
1200		noun - accusative
1300		noun - dative
1400		noun - genitive
1500		noun - locative
1600		noun - vocative
1700		noun - instrumental

2000 ------ pronoun
2010		pronoun - singular
2020		pronoun - plural
2030		pronoun - collective
2040		pronoun - dual
2050		pronoun - impersonal

2001		pronoun - inclusive
2002		pronoun - exclusive

2003		pronoun - person - first
2004		pronoun - person - second
2005		pronoun - person - third

2100		pronoun - nominative
2200		pronoun - accusative
2300		pronoun - dative
2400		pronoun - genitive
2500		pronoun - locative
2600		pronoun - vocative
2700		pronoun - instrumental

2800		pronoun - 
2900		pronoun - 

3000 ------ verb
3001		verb - tense - present
3002		verb - tense - past
3003		verb - tense - future
3004		verb - mood - imperative
3005		verb - mood - indicative
3006		verb - mood - subjunctive
3007		verb - mood - conditional
3008		verb - mood - realis
3009		verb - mood - irrealis

3010		verb - aspect - imperfect
3020		verb - aspect - continual
3030		verb - aspect - perfect

3100		verb - participle - present - gerund
3200		verb - participle - past

4000 ------ adverb
4001		adverb - affirmative
4002		adverb - negative

4003		adverb - manner
4004		adverb - location
4005		adverb - extent

4010		adverb - time - past1
4020		adverb - time - past2
4030		adverb - time - past3
4040		adverb - time - present1
4050		adverb - time - present2
4060		adverb - time - present3
4070		adverb - time - future1
4080		adverb - time - future2
4090		adverb - time - future3

5000 ------ adjective
5100		adjective - participle - present - gerund
5200		adjective - participle - past

5001		adjective - color
5002		adjective - quality
5003		adjective - quantity
5004		adjective - relationship (e.g., possession)

6000 ------ conjunction
6001		conjunction - and
6002		conjunction - but
6003		conjunction - or
6004		conjunction - xor
6005		conjunction - not

7000 ------ preposition

8000 ------ interjection

9000 ------ grammatical particle
9001 		particle - tense - present
9002		particle - tense - past
9003  		particle - tense - future

9004		particle - mood - imperative
9005		particle - mood - indicative
9006		particle - mood - subjunctive
9007		particle - mood - conditional
9008		particle - mood - realis
9009		particle - mood - irrealis

9010		particle - pos - noun
9020		particle - pos - pronoun
9030		particle - pos - verb
9040		particle - pos - adverb
9050		particle - pos - adjective
9060		particle - pos - conjunction
9070		particle - pos - preposition
9080		particle - pos - interjection
9090		particle - pos - interrogative

9000		particle - definiteness - definite
9100		particle - definiteness - indefinite

9200		particle - number - singular
9300		particle - number - plural
9400		particle - number - dual
9500		particle - number - collective
9600		particle - number - mofire