corpora | Public repository for Coptic SCRIPTORIUM Corpora Releases

 by   CopticScriptorium CSS Version: v4.1.0 License: No License

kandi X-RAY | corpora Summary

kandi X-RAY | corpora Summary

corpora is a CSS library typically used in Utilities applications. corpora has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This is the public repository for Coptic SCRIPTORIUM corpora. The documents are available in multiple formats: CoNLL-U, relANNIS, PAULA XML, TEI XML, and TreeTagger SGML (*.tt). The *.tt files generally contain the most complete representations of document annotations, though note that corpus level metadata is only included in the PAULA XML and relANNIS versions. Corpora can be searched, viewed, and queried with complex queries Project homepage is
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            kandi-support Support

              corpora has a low active ecosystem.
              It has 15 star(s) with 8 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 12 open issues and 28 have been closed. On average issues are closed in 126 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of corpora is v4.1.0

            kandi-Quality Quality

              corpora has no bugs reported.

            kandi-Security Security

              corpora has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              corpora does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              corpora releases are available to install and integrate.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of corpora
            Get all kandi verified functions for this library.

            corpora Key Features

            No Key Features are available at this moment for corpora.

            corpora Examples and Code Snippets

            No Code Snippets are available at this moment for corpora.

            Community Discussions

            QUESTION

            Word Prediction APP does not show results
            Asked 2021-Jun-14 at 12:17

            I would greatly appreciate any feedback you might offer regarding the issue I am having with my Word Prediction Shiny APP Code for the JHU Capstone Project.

            My UI code runs correctly and displays the APP. (see image and code below)

            Challenge/Issue: My problem is that after entering text into the "Text input" box of the APP, my server.R code does not return the predicted results.

            Prediction Function:

            When I run this line of code in the RConsole -- predict(corpus_train,"case of") -- the following results are returned: 1 "the" "a" "beer"

            When I use this same line of code in my server.r Code, I do not get prediction results.

            Any insight suggestions and help would be greatly appreciated.

            ...

            ANSWER

            Answered 2021-Apr-27 at 06:46

            Eiterh you go for verbatimTextOutput and renderPrint (you will get a preformatted output) OR for textOutput and renderText and textOutput (you will get unformatted text).

            Source https://stackoverflow.com/questions/67268023

            QUESTION

            Having trouble getting my tests to pass on my freeCodeCamp course for a Product Landing Page... please help :)
            Asked 2021-May-28 at 01:41

            I cannot pass Story #5: "When I click a .nav-link button in the nav element, I am taken to the corresponding section of the landing page." I have all of my href attributes set to the corresponding id attributes and when i click on them they take me to the correct section of the page, but I am still failing this test... What am I Doing Wrong???

            The code I wrote is below:

            ...

            ANSWER

            Answered 2021-May-28 at 01:41

            QUESTION

            How do I order vectors from sentence embeddings and give them out with their respective input?
            Asked 2021-May-23 at 13:26

            I managed to generate vectors for every sentence in my two corpora and calculate the Cosine Similarity between every possible pair (dot product):

            ...

            ANSWER

            Answered 2021-May-22 at 14:52

            You might use, np.argsort(...) for sorting,

            Source https://stackoverflow.com/questions/67649759

            QUESTION

            Is there a way to download TextBlob corpora to Google Cloud Run?
            Asked 2021-May-10 at 18:00

            I am using Python with TextBlob for sentiment analysis. I want to deploy my app (build in Plotly Dash) to Google Cloud Run with Google Cloud Build (without using Docker). When using locally on my virtual environment all goes fine, but after deploying it on the cloud the corpora is not downloaded. Looking at the requriements.txt file, there was also no reference to this corpora.

            I have tried to add python -m textblob.download_corpora to my requriements.txt file but it doesn't download when I deploy it. I have also tried to add

            ...

            ANSWER

            Answered 2021-May-10 at 18:00

            Since Cloud Run creates and destroys containers as needed for your traffic levels you'll want to embed your corpora in the pre-built container to ensure a fast cold start time (instead of downloading it when the container starts)

            The easiest way to do this is add another line inside of a docker file that downloads and installs the corpora at build time like so:

            Source https://stackoverflow.com/questions/67471754

            QUESTION

            Gensim LDA : error cannot compute LDA over an empty collection (no terms)
            Asked 2021-Apr-30 at 11:30

            I have te same error as this thread : ValueError: cannot compute LDA over an empty collection (no terms) but the solution needed isn't the same.

            I'm working on a notebook with Sklearn, and I've done an LDA and a NMF.

            I'm now trying to do the same using Gensim: https://radimrehurek.com/gensim/auto_examples/tutorials/run_lda.htm

            Here is a piece of code (in Python) from my notebook of what I'm trying to do :

            ...

            ANSWER

            Answered 2021-Apr-28 at 13:30

            Just don't use id2token.

            Your model should be :

            Source https://stackoverflow.com/questions/67229373

            QUESTION

            topic modeling error (doc2bow expects an array of unicode tokens on input, not a single string)
            Asked 2021-Apr-29 at 09:35
            from nltk.tokenize import RegexpTokenizer
            #from stop_words import get_stop_words
            from gensim import corpora, models 
            import gensim
            import os
            from os import path
            from time import sleep
            
            filename_2 = "buisness1.txt"
            file1 = open(filename_2, encoding='utf-8')  
            Reader = file1.read()
            tdm = []
            
            # Tokenized the text to individual terms and created the stop list
            tokens = Reader.split()
            #insert stopwords files
            stopwordfile = open("StopWords.txt", encoding='utf-8')  
            
            # Use this to read file content as a stream  
            readstopword = stopwordfile.read() 
            stop_words = readstopword.split() 
            
            for r in tokens:  
                if not r in stop_words: 
                    #stopped_tokens = [i for i in tokens if not i in en_stop]
                    tdm.append(r)
            
            dictionary = corpora.Dictionary(tdm)
            corpus = [dictionary.doc2bow(i) for i in tdm]
            sleep(3)
            #Implemented the LdaModel
            ldamodel = gensim.models.ldamodel.LdaModel(corpus, num_topics=10, id2word = dictionary)
            print(ldamodel.print_topics(num_topics=1, num_words=1))
            
            ...

            ANSWER

            Answered 2021-Apr-29 at 09:35

            This is almost certainly a duplicate, but use this instead:

            Source https://stackoverflow.com/questions/67300540

            QUESTION

            Get topic probability distribution for new document
            Asked 2021-Apr-27 at 16:50

            I have a working topic model called model, with the following settings:

            ...

            ANSWER

            Answered 2021-Apr-27 at 16:50

            Following https://radimrehurek.com/gensim/models/ldamodel.html, all the topics that have probability lower than the parameter minimum_probability will be discarded (default: 0.01). If you set minimum_probability=0, you will get the whole topic probability distribution of the document (in the form of tuples).

            As for your second question, I believe that the only way that allows you to obtain the topic-document distribution is the one above. So, you need to iterate over all the documents of your dataset to get the document-topic matrix.

            Source https://stackoverflow.com/questions/67073728

            QUESTION

            Missing data in response json results
            Asked 2021-Apr-10 at 11:48

            I am testing the google drive api V3 files.list method after testing the API on the Google site

            Try me I received the expected results.

            ...

            ANSWER

            Answered 2021-Apr-09 at 20:10
            Explanation:

            files = results.get('files', []) returns the files object of the whole response, which should be in results on the previous line.

            To print the whole response, return results instead of files.

            Reference:

            get() function in Python

            Source https://stackoverflow.com/questions/67027120

            QUESTION

            How to list Google Drive files not shared with the organisation
            Asked 2021-Mar-30 at 10:11

            I'm trying to retrieve all Google Drive files that where created by users within my organisation (Domain-wide delegation and the drive role are set).

            ...

            ANSWER

            Answered 2021-Mar-30 at 10:11

            The way domain wide delegation works is that it allows the service account to impersonate or act like a single user. The service account doesn't just get out write access to everyone's data.

            This is due to a limitation on how the APIS work. Each request to an api must include a authorization header which contains an access token granting access to a single users data. If you want to access John's data then you need an access token for John, this will not give you access to John and Janes data.

            So for the service account to work you need to be able to delegate to John then send another request deligateing to Jane to access her data.

            THis may not be optimal for your application but its how it works. You will need to delegate to each user one at a time.

            Source https://stackoverflow.com/questions/66868531

            QUESTION

            How to extract text for "# Heading level 1" (header and its paragraphs) from markdown string/document with python?
            Asked 2021-Mar-21 at 12:53

            I need to extract the text (header and its paragraphs) that match a header level 1 string passed to the python function. Below an example mardown text where I'm working:

            ...

            ANSWER

            Answered 2021-Mar-21 at 12:38

            If I understand correctly, you are trying to capture only one # symbol at the beginning of each line.

            The regular expression that helps you solve the issue is: r"(?:^|\s)(?:[#]\ )(.*\n+##\ ([^#]*\n)+)". The brackets isolate the capturing or non capturing groups. The first group (?:^|\s) is a non capturing group, because it starts with a question mark. Here you want that your matched string starts with the beginning of a line or a whitespace, then in the second group ([#]\ ), [#] will match exactly one # character. \ matches the space between the hash and the h1 tag text content. finally you want to match any possible character until the end of the line so you use the special characther ., which identifies any character, followed by + that will match any repetition of the previous matched character.

            This is probably the code snippet you are looking for, I tested it with the same sample test you used.

            Source https://stackoverflow.com/questions/66731722

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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            Install corpora

            You can download it from GitHub.

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