Is your feature request related to a problem? Please describe.
Other related issues: #408 #251
I trained a Chinese model for spaCy, linked it to [spacy's package folder]/data/zh (using spacy link) and want to use that for ludwig. However, when I tried to set the config for ludwig, I received an error, which tell me that there is no way to load the Chinese model.

ValueError: Key ch

Description

Add a ReadMe file in the GitHub folder.
Explain usage of the Templates

Other Comments

Principles of NLP Documentation
Each landing page at the folder level should have a ReadMe which explains -
○ Summary of what this folder offers.
○ Why and how it benefits users
○ As applicable - Documentation of using it, brief description etc
Scenarios folder:
○

When using a pocketsphinx wakeword mycroft tries to load a language specific model. If the model doesn't exist the load fails. (report on the forums)

This should be handled by using a fallback mechanism, so if no language specific model exists it should log a warning and fallback to using the english model that is included in mycr

It would be great if simple replace could be made (partly) case sensitive. By this I mean:

• detect if there is uppercase in part before =
• if so, change behaviour to suggest check left part case sensitively, and suggest the right parts the same; except for the first token when this is at the start of the sentence

Run the code:

(use-modules
 (opencog)
 (opencog nlp)
 (opencog nlp relex2logic)
 (opencog ghost)
 (opencog ghost procedures)
 (opencog exec))

(define-public (where-somebody-work who-list)
 (display (string-append "argument: " (cog-name (car (cog-outgoing-set who-list))) "\n"))
 (Word "SomeCompany"))

;; Ghost Rules
(ghost-parse "
r: (where do _* work) '_0 work in ^where-

Current

export declare type TextlintRuleReportHandler = {
    [P in ASTNodeTypes]?: (node: TypeofTxtNode<P>) => void | Promise<any>;
} & {
    [index: string]: (node: any) => void | Promise<any>;
};
/**
 * Textlint rule reporter function
 */
export declare type TextlintRuleReporter<T extends object = {}> = (context: Readonly<TextlintRuleContext>, options?: TextlintRuleOptions<T>) 

I wanted to use pytextrank together with spacy_udpipe to get keywords from texts in other languages (see https://stackoverflow.com/questions/59824405/spacy-udpipe-with-pytextrank-to-extract-keywords-from-non-english-text) but I realized, that udpipe-spacy somehow "overrides" the original spacy's pipeline so the noun_chunks are not generated (btw: the noun_chunks are created in lang/en/syntax_itera

您好~
最近看rasa_nlu官方文档，上面写pipline有多种选择方式，除了作者您描述的两种以外，有一种推荐是：
Best for most: spaCy + sklearn
问题是：这个组合+jieba能用来处理中文吗？不了解spaCy,所以想问问作者，当初为什么选择jieba+mitie+sklearn。而不是上面这种组合呢？谢谢

This is also on page 356.

from nltk.corpus import sentiwordnet as swn

good = swn.senti_synsets('good', 'n')[0]
Traceback (most recent call last):
File "", line 1, in
TypeError: 'filter' object is not subscriptable

The newest training script for the NER in particular says it takes in 4 arguments (train_dir, test_dir, format, config_file), however the documentation still says it takes in 3 (only train_dir, test_dir, config_file). It's also unclear what the various types of acceptable formats are.

I assume that given that the format option was added to most scripts, many of the usage instructions need to b

I'm using link-grammar-5.3.15.

This one didn't work for me:
https://github.com/opencog/link-grammar/blob/master/bindings/java/org/linkgrammar/LinkGrammar.java#L43
Even when I added /usr/local/lib to jvm props:

java.lang.UnsatisfiedLinkError: no liblink-grammar in java.library.path

I fixed it by replacing that line into:

System.load("/usr/local/lib/liblink-grammar-java.so")