Parsed example sentences

"Parsed" Example Sentences

1. The sentences were parsed by the natural language processing system.
2. The syntactic structure of the text was parsed using a computational grammar model.
3. The parser interpreted and parsed the grammatical structure of the input string.
4. The dependency relations between words were parsed using a probabilistic parser.
5. The input text was parsed into component phrases and clauses.
6. The POS tagged sentences were parsed using a constituency parser.
7. The chunker divided the text into non-overlapping phrases which were then parsed syntactically.
8. The semantic roles of the constituents were parsed using a deep semantic parser.
9. The parser generated a parse tree representing the syntactic structure of the sentence.
10. The constituency structure of the sentences was parsed accurately by the constituent parser.
11. The morphologically analyzed text was parsed using a rule-based parser.
12. The sentence fragments were parsed yielding incomplete syntactic analyses.
13. The parser yielded an ambiguous parse for the complex sentence.
14. The parser used probabilistic context-free grammar rules to parse the input text.
15. The mean accuracy of parsing the test set was 93%.
16. The syntactic structures of the parsed sentences were represented using phrase structure rules.
17. The paraphrases were parsed separately to obtain their syntactic representations.
18. The sentences were parsed using a Combinatory Categorial Grammar model.
19. The parser correctly parsed 95% of the sentences.
20. The sentences were parsed by two different parsers and the results compared.
21. All sentences were automatically parsed without human intervention.
22. The parser yielded spanning analyses for certain types of sentences.
23. The parser accurately parsed grammatical sentences but struggled with ungrammatical input.
24. The dependency structures of the parsed sentences were represented using labeled arcs.
25. The parses generated by the parser were evaluated for syntactic adequacy and correctness.
26. The sentences were parsed using two different machine learning techniques.
27. The sentences contained several complex constructions which the parser had difficulty parsing.
28. The parses obtained showed good agreement with the gold standard parses.
29. The sentences were first tokenized before being parsed.
30. The parser used transformation-based machine learning to induce syntactic preferences.

Common Phases

1. parsed into phrases
2. parsed into chunks
3. parsed into constituents
4. parsed into dependency relations
5. parsed into syntax trees
6. parsed syntactically
7. parsed structurally
8. parsed correctly
9. parsed successfully
10. parsed automatically
11. parsed ambiguously
12. parsed probabilistically
13. parsed grammatically
14. parsed recursively
15. parsed inefficiently
16. parsed inaccurately
17. parsed statistically
18. parsed semantically
19. parsed shallowly
20. parsed superficially