abot_erbase
Version:
entity recognition
32 lines (31 loc) • 882 B
TypeScript
/**
* @file word
* @module jfseb.fdevstart.sentence
* @copyright (c) Gerd Forstmann
*
* Word specific qualifications,
*
* These functions expose parf the underlying model,
* e.g.
* Match a tool record on a sentence,
*
* This will unify matching required and optional category words
* with the requirements of the tool.
*
*/
import * as IMatch from './iferbase';
export declare const Category: {
CAT_CATEGORY: string;
CAT_DOMAIN: string;
CAT_FILLER: string;
CAT_TOOL: string;
_aCatFillers: string[];
isDomain: (sCategory: string) => boolean;
isCategory: (sCategory: string) => boolean;
isFiller: (sCategory: string) => boolean;
};
export declare const Word: {
isFiller: (word: IMatch.IWord) => boolean;
isCategory: (word: IMatch.IWord) => boolean;
isDomain: (word: IMatch.IWord) => boolean;
};