akkadian-noun-analyzer – OpenClaw Skill

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name: akkadian-noun-analyzer description: Akkadian noun analyzer using regex-based feature extraction. Use when working with ancient languages, linguistic analysis, or building morphological analyzers for historical languages.

通用 Prompt Skill

描述

Hello r/LanguageTechnology,

I'm not as familiar with statistics as I am with formal linguistics, so...

类型

• 类型: 通用
• 评分: 60/100

Prompt

Hello r/LanguageTechnology,

I'm not as familiar with statistics as I am with formal linguistics, so I apologize if this comes across as overly simple. I've been working on an Akkadian noun analyzer. It uses regexes to extract features from surface forms. Example:

    {
        r"\w+[^t]um?$": {
            'type':'nominal_noun',
            'gender':'masculine',
            'number':'singular',
            'case':'nominative',
            'state':'governed'
        }

I hit a wall with zero-marking, as nouns can be either in the absolute or construct states, as seen here:

        r"\w+[^āīēaie]$": {
            'type':'nominal_noun',
            'gender':'masculine',
            'number':'singular',
            'case':'nominative',
            'state':'absolute/construct'
        }  

Since the state is unknown, it's left as "absolute/construct".

I have a disambiguator function which takes each word's (words are objects, by the way) feature structures in a list and checks for certa

来源信息

• 来源: reddit
• 原始链接: https://www.reddit.com/r/LanguageTechnology/comments/1qfe2tv/statistical_nlp_question_on_bayesian/
• 作者: metalmimiga27
• 互动: 0 赞

元数据

• 收集时间: 2026-01-30T20:48:50.626829
• Prompt 类型: 通用
• 质量分数: 60/100

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