corpora | Lightweight NLP corpus format for python | Natural Language Processing library

I have installed android open source project on my system and buid it and have run the emulator. It is showing the default google search bar on the top of the home screen. I want to remove that google search bar from there to make the home screen clear. For removing that I have modified one file but I am not sure about which file I have to modified to remove that section.

I have modified an AndroidManifest.xml file which is at the directory "Android_AOSP/packages/apps/QuickSearchBox/AndroidManifest.xml", but that file have removed only the search icon but the background layout is still showing there. Before the editing the following code the above search layout was same as the below google search layout.

I have just commented one section of the following code.

I'm trying to have the user input a string of characters with one asterisk. The asterisk indicates a character that can be subbed out for a vowel (a,e,i,o,u) in order to see what substitutions produce valid words. Essentially, I want to take an input "l*g" and have it return "lag, leg, log, lug" because "lig" is not a valid English word. Below I have invalid words to be represented as "x".

I've gotten it to properly output each possible combination (e.g., including "lig"), but once I try to compare these words with the text file I'm referencing (for the list of valid words), it'll only return 5 lines of x's. I'm guessing it's that I'm improperly importing or reading the file?

Here's the link to the file I'm looking at so you can see the formatting: https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/corpora/words.zip Using the "en" file ~2.5MB

It's not in a dictionary layout i.e. no corresponding keys/values, just lines (maybe I could use the line number as the index, but I don't know how to do that). What can I change to check the test words to narrow down which are valid words based on the text file?

I need to read the content of a JSON file on a public GitHub repository using RestTemplate. The content of this JSON file keeps changing quite often, so I need to pull the data from this file once a week. I just need to get the content as String object. Is there anyway to do that?

An example of a JSON file on a public GitHub repository: JSON_File

I am trying to have a Powershell script do a simple upload of a file using the Google Drive API (v3). My current GCP project includes a service account that has been granted domain-wide authority with the following scopes:

• https://www.googleapis.com/auth/drive
• https://www.googleapis.com/auth/drive.file

Following the "Preparing to make an authorized API call" guide, I have successfully created a JWT, used said JWT to get an access token, and use said access token to interact with the API. I have also confirmed that the service account is able to successfully "impersonate" a user account in our Workspace (using the sub parameter in the "Additional claims" section of the guide above).

The issue I am facing is regarding permissions. I get a successful response back from GET https://www.googleapis.com/drive/v3/drives and can see the Shared Drives that the impersonated-user has access to. However, I get a (403) Forbidden when requesting to list the contents of one of these Shared Drives; specifically via GET https://www.googleapis.com/drive/v3/files?driveId=?includeItemsFromAllDrives=true?supportsAllDrives=true?corpora=allDrives.

Is there an issue with my request parameters? I'm confused as to why a user with Content Manager access to a Shared Drive is able to list Shared Drives and not any contents within said drives?

I have a problem running gensim to create a Dictionary and the Doc Term Matrix.

When I run:

I create a new word list in which stop words from 'text8' have been removed, in order to train a LDA Model. However, I received TypeError: 'int' object is not subscriptable, guessing problems from corpus, and cannot find the solutions.

Here is my code:

I have created a spacy transformer model for named entity recognition. Last time I trained till it reached 90% accuracy and I also have a model-best directory from where I can load my trained model for predictions. But now I have some more data samples and I wish to resume training this spacy transformer. I saw that we can do it by changing the config.cfg but clueless about 'what to change?'

This is my config.cfg after running python -m spacy init fill-config ./base_config.cfg ./config.cfg:

I am working with a computer that can only access to a private network and it cannot send instrunctions from command line. So, whenever I have to install Python packages, I must do it manually (I can't even use Pypi). Luckily, the NLTK allows my to manually download corpora (from here) and to "install" them by putting them in the proper folder (as explained here).

Now, I need to do exactly what is said in this answer:

I am using a service account to connect to a shared drive in my personal Google account. The Google Drive API always returns an error saying the shared drive was not found. I tried both of these:

• making the shared drive public for anyone with the link
• adding permission for a specific user (the service account) using the service account's email address

The link for the shared drive is in this format https://drive.google.com/drive/folders/xyz and I assume the driveId is the last part of the link, xyz? Or is that the folder id? If so then how do I find the driveId?