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	* initial LT lang support * Added more stopwords. Started setting up some basic test environment (not complete) * Initial morph rules for LT lang * Closes #1 Adds tokenizer exceptions for Lithuanian * Closes #5 Punctuation rules. Closes #6 Lexical Attributes * test: add native examples to basic tests * feat: add tag map for lt lang * fix: remove undefined tag attribute 'Definite' * feat: add lemmatizer for lt lang * refactor: add new instances to lt lang morph rules; use tags from tag map * refactor: add morph rules to lt lang defaults * refactor: only keep nouns, verbs, adverbs and adjectives in lt lang lemmatizer lookup * refactor: add capitalized words to lt lang lemmatizer * refactor: add more num words to lt lang lex attrs * refactor: update lt lang stop word set * refactor: add new instances to lt lang tokenizer exceptions * refactor: remove comments form lt lang init file * refactor: use function instead of lambda in lt lex lang getter * refactor: remove conversion to dict in lt init when dict is already provided * chore: rename lt 'test_basic' to 'test_text' * feat: add more lt text tests * feat: add lemmatizer tests * refactor: remove unused imports, add newline to end of file * chore: add contributor agreement * chore: change 'en' to 'lt' in lt example description * fix: add missing encoding info * style: add newline to end of file * refactor: use python2 compatible syntax * style: reformat code using black
		
			
				
	
	
		
			23 lines
		
	
	
		
			659 B
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			23 lines
		
	
	
		
			659 B
		
	
	
	
		
			Python
		
	
	
	
	
	
| # coding: utf8
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| from __future__ import unicode_literals
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| 
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| 
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| """
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| Example sentences to test spaCy and its language models.
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| 
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| >>> from spacy.lang.lt.examples import sentences
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| >>> docs = nlp.pipe(sentences)
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| """
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| 
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| 
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| sentences = [
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|     "Jaunikis pirmąją vestuvinę naktį iškeitė į areštinės gultą",
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|     "Bepiločiai automobiliai išnaikins vairavimo mokyklas, autoservisus ir eismo nelaimes",
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|     "Vilniuje galvojama uždrausti naudoti skėčius",
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|     "Londonas yra didelis miestas Jungtinėje Karalystėje",
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|     "Kur tu?",
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|     "Kas yra Prancūzijos prezidentas?",
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|     "Kokia yra Jungtinių Amerikos Valstijų sostinė?",
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|     "Kada gimė Dalia Grybauskaitė?",
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| ]
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