import { NlpManager } from '../nlp';
import MemoryConversationContext from './memory-conversation-context';
/**
 * Microsoft Bot Framework compatible recognizer for nlp.js.
 */
declare class Recognizer {
    private readonly settings;
    private readonly nlpManager;
    private readonly threshold;
    private readonly conversationContext;
    /**
     * Constructor of the class.
     * @param {Object} settings Settings for the instance.
     */
    constructor(settings: {
        nlpManager?: NlpManager;
        container?: any;
        nerThreshold?: number;
        threshold?: number;
        conversationContext?: MemoryConversationContext;
    });
    /**
     * Train the NLP manager.
     */
    train(): Promise<void>;
    /**
     * Loads the model from a file.
     * @param {String} filename Name of the file.
     */
    load(filename: string): void;
    /**
     * Saves the model into a file.
     * @param {String} filename Name of the file.
     */
    save(filename: string): void;
    /**
     * Loads the NLP manager from an excel.
     * @param {String} filename Name of the file.
     */
    loadExcel(filename: string): Promise<void>;
    /**
     * Process an utterance using the NLP manager. This is done using a given context
     * as the context object.
     * @param {Object} srcContext Source context
     * @param {String} locale Locale of the utterance.
     * @param {String} utterance Locale of the utterance.
     */
    process(srcContext: Record<string, unknown>, locale?: string, utterance?: string): Promise<string>;
    /**
     * Given an utterance and the locale, returns the recognition of the utterance.
     * @param {String} utterance Utterance to be recognized.
     * @param {String} model Model of the utterance.
     * @param {Function} cb Callback Function.
     */
    recognizeUtterance(utterance: string, model: {
        locale: string;
    }, cb: Function): Promise<any>;
}
export default Recognizer;