Overview
- Skill Key
- hhhh124hhhh/akkadian-noun-analyzer
- Author
- hhhh124hhhh
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/hhhh124hhhh/akkadian-noun-analyzer
- Latest Commit SHA
- 7289f4e0622de74225c754eac944c9a3bae3b44a
Akkadian noun analyzer using regex-based feature extraction. Use when working with ancient languages, linguistic analysis, or building morphological analyzers for historical languages.
Stars
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Installs
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 akkadian-noun-analyzer 技能。 若已安装,则直接安装 akkadian-noun-analyzer 技能。
# 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
---
*Skill generated by Clawdbot*
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