Java Option类代码示例

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName = "m", description = "Path to the parser model")
String getModel();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName = "f", defaultValue = "", description = "(Optional) Path to the input text file. Otherwise, the parser will read from stdin.")
String getInputFile();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName = "i", defaultValue = "tokenized", description = "(Optional) Input Format: one of \"tokenized\", \"POStagged\" (word|pos), or \"POSandNERtagged\" (word|pos|ner)")
String getInputFormat();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName = "o", description = "Output Format: one of \"logic\", \"srl\", \"srl_indices\", \"ccgbank\", \"html\", \"dependencies\" or \"supertags\"", defaultValue = "logic")
String getOutputFormat();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName = "a", description = "(Optional) Parsing algorithm: one of \"astar\" or \"cky\"", defaultValue = "astar")
String getParsingAlgorithm();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName = "l", defaultValue = "70", description = "(Optional) Maximum length of sentences in words. Defaults to 70.")
int getMaxLength();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName = "n", defaultValue = "1", description = "(Optional) Number of parses to return per sentence. Values >1 are only supported for A* parsing. Defaults to 1.")
int getNbest();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName = "r", defaultValue = { "S[dcl]", "S[wq]", "S[q]", "S[b]\\NP", "NP" }, description = "(Optional) List of valid categories for the root node of the parse. Defaults to: S[dcl] S[wq] S[q] NP S[b]\\NP")
List<Category> getRootCategories();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(defaultValue = "0.01", description = "(Optional) Prunes lexical categories whose probability is less than this ratio of the best category. Decreasing this value will slightly improve accuracy, and give more varied n-best output, but decrease speed. Defaults to 0.01 (currently only used for the joint model).")
double getSupertaggerbeam();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName = "w", defaultValue = "1.0", description = "Use a specified supertagger weight, instead of the pretrained value.")
double getSupertaggerWeight();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(helpRequest = true, description = "Display this message", shortName = "h")
boolean getHelp();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName="m", description = "Path to the parser model")
File getModel();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName="f", defaultValue="", description = "(Optional) Path to the input text file. Otherwise, the parser will read from stdin.")
File getInputFile();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName="i", defaultValue="tokenized", description = "(Optional) Input Format: one of \"tokenized\", \"POStagged\", \"POSandNERtagged\", \"gold\", \"deps\" or \"supertagged\"")
String getInputFormat();
 

import uk.co.flamingpenguin.jewel.cli.Option; //导入依赖的package包/类
@Option(shortName="o", description = "Output Format: one of \"ccgbank\", \"html\", or \"prolog\"", defaultValue="ccgbank")
String getOutputFormat();