/**
 * Part-of-Speech (POS) tagging and analysis functions for Bangla text
 */
/**
 * Universal POS tags based on Universal Dependencies (UD) v2 specification
 * Source: https://universaldependencies.org/u/pos/
 */
export declare const enum UniversalPOSTag {
    /** Adjectives are words that typically modify nouns
     * @example বড়/boro, সুন্দর/sundor, নতুন/notun */
    ADJ = "ADJ",
    /** Adpositions are prepositions and postpositions
     * @example মধ্যে/moddhe, থেকে/theke, উপরে/upore */
    ADP = "ADP",
    /** Adverbs are words that typically modify verbs, adjectives or other adverbs
     * @example খুব/khub, ধীরে/dhire, ভালোভাবে/bhalobhabe */
    ADV = "ADV",
    /** Auxiliary verbs are used to form tenses, moods, etc.
     * @example আছে/ache, হয়/hoi, হবে/hobe */
    AUX = "AUX",
    /** Coordinating conjunctions connect words, phrases, clauses of equal status
     * @example এবং/ebong, কিন্তু/kintu, অথবা/othoba */
    CCONJ = "CCONJ",
    /** Determiners are words that modify nouns or noun phrases
     * @example এই/ei, সেই/sei, কোন/kon */
    DET = "DET",
    /** Interjections are exclamatory words
     * @example ওহ/oh, বাহ/bah, হায়/hay */
    INTJ = "INTJ",
    /** Nouns are words denoting all physical objects and materials
     * @example বই/boi, মানুষ/manush, বাড়ি/bari */
    NOUN = "NOUN",
    /** Numerals represent numbers, quantities, etc.
     * @example এক/ek, দুই/dui, প্রথম/prothom */
    NUM = "NUM",
    /** Particles are function words that must be associated with another word
     * @example না/na, তো/to, কি/ki */
    PART = "PART",
    /** Pronouns substitute for nouns or noun phrases
     * @example আমি/ami, তুমি/tumi, সে/se */
    PRON = "PRON",
    /** Proper nouns are names of specific persons, places, organizations
     * @example ঢাকা/dhaka, রবীন্দ্রনাথ/robindronath, বাংলাদেশ/bangladesh */
    PROPN = "PROPN",
    /** Punctuation marks
     * @example ।, ?, !, , */
    PUNCT = "PUNCT",
    /** Subordinating conjunctions link dependent clauses to independent ones
     * @example যদি/jodi, কারণ/karon, যখন/jokhon */
    SCONJ = "SCONJ",
    /** Symbols represent currency, math operators, etc.
     * @example ৳, +, = */
    SYM = "SYM",
    /** Verbs denote actions and processes
     * @example যাই/jai, খাই/khai, পড়ি/pori */
    VERB = "VERB",
    /** Other words that don't fit into above categories
     * @example ইত্যাদি/ittyadi, প্রভৃতি/probhriti */
    X = "X"
}
/**
 * Represents a word with its POS tag and additional linguistic features
 */
export interface TaggedWord {
    /** The original word */
    word: string;
    /** The POS tag for the word */
    tag: UniversalPOSTag;
    /** Additional linguistic features (e.g., gender, number, case) */
    features?: Record<string, string>;
}
/**
 * Tags a single Bangla word with its part of speech
 *
 * @param {string} word - The Bangla word to tag
 * @returns {TaggedWord} The word with its POS tag and features
 *
 * @description
 * This function performs POS tagging for a single Bangla word.
 * It uses a combination of rules and dictionary lookup to determine
 * the most likely POS tag for the given word.
 *
 * @example
 * ```typescript
 * const result = tagWord("বাংলা");
 * console.log(result);
 * // Output: { word: "বাংলা", tag: UniversalPOSTag.NOUN }
 * ```
 *
 * @example
 * ```typescript
 * const result = tagWord("সুন্দর");
 * console.log(result);
 * // Output: { word: "সুন্দর", tag: UniversalPOSTag.ADJ }
 * ```
 */
export declare function tagWord(word: string): TaggedWord;
/**
 * Tags a sequence of Bangla words with their parts of speech
 *
 * @param {string[]} words - Array of Bangla words to tag
 * @returns {TaggedWord[]} Array of words with their POS tags and features
 *
 * @description
 * This function performs POS tagging for a sequence of Bangla words.
 * It takes into account the context of surrounding words to improve
 * tagging accuracy.
 *
 * @example
 * ```typescript
 * const words = ["আমি", "বাংলায়", "গান", "গাই"];
 * const tagged = tagWords(words);
 * console.log(tagged);
 * // Output: [
 * //   { word: "আমি", tag: UniversalPOSTag.PRON },
 * //   { word: "বাংলায়", tag: UniversalPOSTag.ADP },
 * //   { word: "গান", tag: UniversalPOSTag.NOUN },
 * //   { word: "গাই", tag: UniversalPOSTag.VERB }
 * // ]
 * ```
 */
export declare function tagWords(words: string[]): TaggedWord[];
/**
 * Tags a Bangla text string with parts of speech
 *
 * @param {string} text - The Bangla text to tag
 * @returns {TaggedWord[]} Array of words with their POS tags and features
 *
 * @description
 * This function first tokenizes the input text into words and then
 * performs POS tagging on the resulting word sequence.
 *
 * @example
 * ```typescript
 * const text = "আমি বাংলায় গান গাই";
 * const tagged = tagText(text);
 * console.log(tagged);
 * // Output: [
 * //   { word: "আমি", tag: UniversalPOSTag.PRON },
 * //   { word: "বাংলায়", tag: UniversalPOSTag.ADP },
 * //   { word: "গান", tag: UniversalPOSTag.NOUN },
 * //   { word: "গাই", tag: UniversalPOSTag.VERB }
 * // ]
 * ```
 */
export declare function tagText(text: string): TaggedWord[];
/**
 * Gets the most common POS tags in a sequence of tagged words
 *
 * @param {TaggedWord[]} taggedWords - Array of tagged words
 * @returns {Map<UniversalPOSTag, number>} Map of POS tags to their frequencies
 *
 * @description
 * This function analyzes a sequence of tagged words and returns
 * a map showing how many times each POS tag appears.
 *
 * @example
 * ```typescript
 * const tagged = [
 *   { word: "আমি", tag: UniversalPOSTag.PRON },
 *   { word: "বাংলায়", tag: UniversalPOSTag.ADP },
 *   { word: "গান", tag: UniversalPOSTag.NOUN },
 *   { word: "গাই", tag: UniversalPOSTag.VERB }
 * ];
 * const frequencies = getPOSTagFrequencies(tagged);
 * console.log(frequencies);
 * // Output: Map(4) {
 * //   UniversalPOSTag.PRON => 1,
 * //   UniversalPOSTag.ADP => 1,
 * //   UniversalPOSTag.NOUN => 1,
 * //   UniversalPOSTag.VERB => 1
 * // }
 * ```
 */
export declare function getPOSTagFrequencies(taggedWords: TaggedWord[]): Map<UniversalPOSTag, number>;