10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Akkadian noun analyzer using regex-based feature extraction. Use when working with ancient languages, linguistic analysis, or building morphological analyzers for historical languages.
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skillhub install hhhh124hhhh/akkadian-noun-analyzer打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
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Hello r/LanguageTechnology,
I'm not as familiar with statistics as I am with formal linguistics, so...
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
Skill generated by Clawdbot
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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*generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.