akkadian-noun-analyzer
Akkadian noun analyzer using regex-based feature extraction. Use when working with ancient languages, linguistic analysis, or building morphological analyzers for historical languages.
Best use case
akkadian-noun-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Akkadian noun analyzer using regex-based feature extraction. Use when working with ancient languages, linguistic analysis, or building morphological analyzers for historical languages.
Teams using akkadian-noun-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/akkadian-noun-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How akkadian-noun-analyzer Compares
| Feature / Agent | akkadian-noun-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Akkadian noun analyzer using regex-based feature extraction. Use when working with ancient languages, linguistic analysis, or building morphological analyzers for historical languages.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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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