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vocabulary | Python Module to get Meanings | Natural Language Processing library

 by   tasdikrahman Python Version: 1.0.4 License: MIT

 by   tasdikrahman Python Version: 1.0.4 License: MIT

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kandi X-RAY | vocabulary Summary

vocabulary is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. vocabulary has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. However vocabulary has 1 bugs. You can download it from GitHub.
[Not Maintained anymore] Python Module to get Meanings, Synonyms and what not for a given word
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • vocabulary has a highly active ecosystem.
  • It has 548 star(s) with 77 fork(s). There are 23 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 9 open issues and 14 have been closed. On average issues are closed in 92 days. There are 6 open pull requests and 0 closed requests.
  • It has a positive sentiment in the developer community.
  • The latest version of vocabulary is 1.0.4
vocabulary Support
Best in #Natural Language Processing
Average in #Natural Language Processing
vocabulary Support
Best in #Natural Language Processing
Average in #Natural Language Processing

quality kandi Quality

  • vocabulary has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 10 code smells.
vocabulary Quality
Best in #Natural Language Processing
Average in #Natural Language Processing
vocabulary Quality
Best in #Natural Language Processing
Average in #Natural Language Processing

securitySecurity

  • vocabulary has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • vocabulary code analysis shows 0 unresolved vulnerabilities.
  • There are 3 security hotspots that need review.
vocabulary Security
Best in #Natural Language Processing
Average in #Natural Language Processing
vocabulary Security
Best in #Natural Language Processing
Average in #Natural Language Processing

license License

  • vocabulary is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
vocabulary License
Best in #Natural Language Processing
Average in #Natural Language Processing
vocabulary License
Best in #Natural Language Processing
Average in #Natural Language Processing

buildReuse

  • vocabulary releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • vocabulary saves you 290 person hours of effort in developing the same functionality from scratch.
  • It has 699 lines of code, 45 functions and 8 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
vocabulary Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
vocabulary Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
Top functions reviewed by kandi - BETA

kandi has reviewed vocabulary and discovered the below as its top functions. This is intended to give you an instant insight into vocabulary implemented functionality, and help decide if they suit your requirements.

  • Gets a singletonym of the given phrase .
  • Parses tuc_content from tuc_content
  • Translates a phrase .
  • Symbolize a phrase .
  • Convert a dictionary to a dictionary
  • Return a list of values
  • Convert data to JSON .
  • Context manager .

vocabulary Key Features

[Not Maintained anymore] Python Module to get Meanings, Synonyms and what not for a given word

attribute error and key error in the join operation of string

copy iconCopydownload iconDownload
return "".join([id2word[w] for w in caption_ids])
return "".join([id2word.get(w,”UNKNOWN WORD”) for w in caption_ids])
return "".join([id2word.get(w,w) for w in caption_ids])
-----------------------
return "".join([id2word[w] for w in caption_ids])
return "".join([id2word.get(w,”UNKNOWN WORD”) for w in caption_ids])
return "".join([id2word.get(w,w) for w in caption_ids])
-----------------------
return "".join([id2word[w] for w in caption_ids])
return "".join([id2word.get(w,”UNKNOWN WORD”) for w in caption_ids])
return "".join([id2word.get(w,w) for w in caption_ids])
-----------------------
delimiter.join(iterable)
" ".join([id2word[w] for w in caption_ids])
-----------------------
delimiter.join(iterable)
" ".join([id2word[w] for w in caption_ids])

Unhandled Rejection (TypeError): state.push is not a function while using redux thunk

copy iconCopydownload iconDownload
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return { dictData }; // <-- returned in action payload
    }
  }
);
[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload.dictData;
},
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return dictData.data; // <-- returned data property as payload
    }
  }
);

...

[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload; // <-- return data payload as state
},
-----------------------
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return { dictData }; // <-- returned in action payload
    }
  }
);
[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload.dictData;
},
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return dictData.data; // <-- returned data property as payload
    }
  }
);

...

[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload; // <-- return data payload as state
},
-----------------------
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return { dictData }; // <-- returned in action payload
    }
  }
);
[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload.dictData;
},
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return dictData.data; // <-- returned data property as payload
    }
  }
);

...

[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload; // <-- return data payload as state
},
-----------------------
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return { dictData }; // <-- returned in action payload
    }
  }
);
[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload.dictData;
},
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return dictData.data; // <-- returned data property as payload
    }
  }
);

...

[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload; // <-- return data payload as state
},
-----------------------
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return { dictData }; // <-- returned in action payload
    }
  }
);
[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload.dictData;
},
{
  "message": "Your data is here",
  "data": [ .... your dictionary data array ]
}
export const getDictionaryAsync = createAsyncThunk(
  "dictionary/getDictAsync",
  async () => {
    let res = await fetch("https://vocabulary-app-be.herokuapp.com/dictionary");
    if (res.ok) {
      let dictData = await res.json();
      return dictData.data; // <-- returned data property as payload
    }
  }
);

...

[getDictionaryAsync.fulfilled]: (state, action) => {
  return action.payload; // <-- return data payload as state
},

word frequency in multiple documents

copy iconCopydownload iconDownload
from collections import Counter
bigLst = [['hello', 'my', 'friend'], ['jim', 'is', 'cool'], ['peter', 'is', 'nice']]
print(Counter([word for lst in bigLst for word in lst]))
Counter({'is': 2, 'hello': 1, 'my': 1, 'friend': 1, 'jim': 1, 'cool': 1, 'peter': 1, 'nice': 1})
-----------------------
from collections import Counter
bigLst = [['hello', 'my', 'friend'], ['jim', 'is', 'cool'], ['peter', 'is', 'nice']]
print(Counter([word for lst in bigLst for word in lst]))
Counter({'is': 2, 'hello': 1, 'my': 1, 'friend': 1, 'jim': 1, 'cool': 1, 'peter': 1, 'nice': 1})

Training Word2Vec Model from sourced data - Issue Tokenizing data

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def generate_corpus_txt(csv_filepath, output_filepath):
    import csv
    import time
    start_time = time.time()
    with open(csv_filepath, encoding = 'utf-8') as csvfile:
        datareader = csv.reader(csvfile)
        count = 0
        header = next(csvfile)
        print(time.asctime(time.localtime()), " ---- Beginning Processing")
        with open(output_filepath, 'w+') as output:
            # Check file as empty
            if header != None:
                for row in datareader:
                        # Iterate over each row after the header in the csv
                        # row variable is a list that represents a row in csv
                    processed_row = str(' '.join(row)) + '\n'
                    output.write(processed_row)
                    count += 1
                    if count == 1000000:
                        print(time.asctime(time.localtime()), " ---- Processed 1,000,000 Rows of data.")
                        count = 0
    print('Processing took:', int((time.time()-start_time)/60), ' minutes')
    output.close()
    csvfile.close()

Are scannerless parser grammars still supported in ANTLR4?

copy iconCopydownload iconDownload
T1 : ' ';
T2 : '\n';
T3 : '\r';
T4 : 'a';
T5 : 'b';

Python Pandas pivoting: how to group in the first column and create a new column for each unique value from the second column

copy iconCopydownload iconDownload
df = (
    df.assign(
        temp=df.groupby('Column 1').cumcount() + 1
    )
    .pivot_table(
        index='Column 1',
        columns='temp',
        values='Column 2')
    .add_prefix('Column 2_')
    .rename_axis(columns=None)
    .reset_index()
)
df = (
    df.pivot_table(
        index='Column 1',
        columns=df.groupby('Column 1').cumcount() + 1,
        values='Column 2')
    .add_prefix('Column 2_')
    .reset_index()
)
   Column1  Column2_1  Column2_2  Column2_3
0        1       22.0       23.0        NaN
1        2       34.0       35.0       36.0
2        3       49.0        NaN        NaN
-----------------------
df = (
    df.assign(
        temp=df.groupby('Column 1').cumcount() + 1
    )
    .pivot_table(
        index='Column 1',
        columns='temp',
        values='Column 2')
    .add_prefix('Column 2_')
    .rename_axis(columns=None)
    .reset_index()
)
df = (
    df.pivot_table(
        index='Column 1',
        columns=df.groupby('Column 1').cumcount() + 1,
        values='Column 2')
    .add_prefix('Column 2_')
    .reset_index()
)
   Column1  Column2_1  Column2_2  Column2_3
0        1       22.0       23.0        NaN
1        2       34.0       35.0       36.0
2        3       49.0        NaN        NaN
-----------------------
df = (
    df.assign(
        temp=df.groupby('Column 1').cumcount() + 1
    )
    .pivot_table(
        index='Column 1',
        columns='temp',
        values='Column 2')
    .add_prefix('Column 2_')
    .rename_axis(columns=None)
    .reset_index()
)
df = (
    df.pivot_table(
        index='Column 1',
        columns=df.groupby('Column 1').cumcount() + 1,
        values='Column 2')
    .add_prefix('Column 2_')
    .reset_index()
)
   Column1  Column2_1  Column2_2  Column2_3
0        1       22.0       23.0        NaN
1        2       34.0       35.0       36.0
2        3       49.0        NaN        NaN

hook_form_FORM_ID_alter: Pre select a checkbox from an exposed filter in a drupal 8 view

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function xtheme_form_views_exposed_form_alter(&$form, \Drupal\Core\Form\FormStateInterface $form_state, $form_id) {
    if($form['#id'] == 'views-exposed-form-vcon-finder-page-1'){
        if (is_null(\Drupal::request()->get('tags'))) {  
        // Avoid overriding the filter values selected by user
            $input = $form_state->getUserInput();
            $input['tags'] = [288 => 288];
            $form_state->setUserInput($input);
        }
    }
}

How to select rows which have both items in ManyToMany relation

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use App\Domain\Entity\Vocabulary\Tag;

class News
{
    /**
     * @ORM\ManyToMany(targetEntity=Tag::class)
     */
    private Collection $tags;
 }
nt.id IN () # invalid!
/**
 * @var EntityManagerInterface
 */
private $manager;

...

/**
 * @param list<Tag> $tags - Optional tag filter // "list" is a vimeo psalm annotation.
 *
 * @return list<News>
 */
 public function getNews(array $tags = []): array 
 {
    $qb = $this->manager
        ->createQueryBuilder()
        ->from(News::class, 'news')
        ->select('news')
    ;

    if(!empty($tags)) {
        $tagIds = array_unique(
            array_map(static function(Tag $tag): int {
                return $tag->getId();
            }) // For performance reasons, give doctrine ids instead of objects.
        ); // Make sure duplicate tags are handled.

        $qb
            ->join('news.tags', 'tag')
            ->where('tag IN (:tags)') 
            ->setParameter('tags', $tagIds) 
            ->addSelect('COUNT(tag) AS HIDDEN numberOfTags') 
            ->groupBy('news') 
            ->having('numberOfTags = :numberOfTags) 
            ->setParameter('numberOfTags', count($tags)) 
        ;
    }

    return $qb
        ->getQuery()
        ->getResult()
    ;
}
-----------------------
use App\Domain\Entity\Vocabulary\Tag;

class News
{
    /**
     * @ORM\ManyToMany(targetEntity=Tag::class)
     */
    private Collection $tags;
 }
nt.id IN () # invalid!
/**
 * @var EntityManagerInterface
 */
private $manager;

...

/**
 * @param list<Tag> $tags - Optional tag filter // "list" is a vimeo psalm annotation.
 *
 * @return list<News>
 */
 public function getNews(array $tags = []): array 
 {
    $qb = $this->manager
        ->createQueryBuilder()
        ->from(News::class, 'news')
        ->select('news')
    ;

    if(!empty($tags)) {
        $tagIds = array_unique(
            array_map(static function(Tag $tag): int {
                return $tag->getId();
            }) // For performance reasons, give doctrine ids instead of objects.
        ); // Make sure duplicate tags are handled.

        $qb
            ->join('news.tags', 'tag')
            ->where('tag IN (:tags)') 
            ->setParameter('tags', $tagIds) 
            ->addSelect('COUNT(tag) AS HIDDEN numberOfTags') 
            ->groupBy('news') 
            ->having('numberOfTags = :numberOfTags) 
            ->setParameter('numberOfTags', count($tags)) 
        ;
    }

    return $qb
        ->getQuery()
        ->getResult()
    ;
}
-----------------------
use App\Domain\Entity\Vocabulary\Tag;

class News
{
    /**
     * @ORM\ManyToMany(targetEntity=Tag::class)
     */
    private Collection $tags;
 }
nt.id IN () # invalid!
/**
 * @var EntityManagerInterface
 */
private $manager;

...

/**
 * @param list<Tag> $tags - Optional tag filter // "list" is a vimeo psalm annotation.
 *
 * @return list<News>
 */
 public function getNews(array $tags = []): array 
 {
    $qb = $this->manager
        ->createQueryBuilder()
        ->from(News::class, 'news')
        ->select('news')
    ;

    if(!empty($tags)) {
        $tagIds = array_unique(
            array_map(static function(Tag $tag): int {
                return $tag->getId();
            }) // For performance reasons, give doctrine ids instead of objects.
        ); // Make sure duplicate tags are handled.

        $qb
            ->join('news.tags', 'tag')
            ->where('tag IN (:tags)') 
            ->setParameter('tags', $tagIds) 
            ->addSelect('COUNT(tag) AS HIDDEN numberOfTags') 
            ->groupBy('news') 
            ->having('numberOfTags = :numberOfTags) 
            ->setParameter('numberOfTags', count($tags)) 
        ;
    }

    return $qb
        ->getQuery()
        ->getResult()
    ;
}

get unique record counts of two joined tables

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    t.id as topic_id,
    count(distinct s.id) as total_sentences,
    count(distinct v.id) as total_vocabulary
-----------------------
select count(*)
from topics t
where exists (select * from vocabulary where topic_id = t.id)
and exists (select * from sentences where topic_id = t.id)

Flutter / Firestore - How can I reach nested elements on Firebase?

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await _fireStore3.get().then((QuerySnapshot querySnapshot) {
  querySnapshot.docs.forEach((doc) {
    List<CarnetWords> carnetWords = [];
    Map mots = doc['mots'];
    
    mots.forEach((index, value){
      carnetWords.add(CarnetWords(id: value.id, wrong: value.wrong, right: value.wrong, mastery: value.mastery.toDouble()));
    });
    
    _carnetVoc2.add(
      VocList(
        ref: doc['ref'],
        titre: doc['titre'],
        creation: doc['dateCreation'].toDate(),
        modification: doc['dateModification'].toDate(),
        firstSession: doc['firstSession'].toDate(),
        latestSession: doc['latestSession'].toDate(),
        mastery: doc['mastery'].toDouble(),
        wordId: carnetWords,
      ),
    );
  });
-----------------------
await _fireStore3.get().then((QuerySnapshot querySnapshot) {
      querySnapshot.docs.forEach((doc) {
        List<dynamic> mots = doc['mots'].toList();
        List<CarnetWords> wordId = [];
        for (Map indivMots in mots) {
          wordId.add(
            CarnetWords(
                iD: indivMots['id'],
                wrong: indivMots['wrong'],
                right: indivMots['right'],
                mastery: indivMots['mastery']),
          );
        }

Community Discussions

Trending Discussions on vocabulary
  • attribute error and key error in the join operation of string
  • React App running in Heroku fails when retrieving large amounts of data
  • Unhandled Rejection (TypeError): state.push is not a function while using redux thunk
  • word frequency in multiple documents
  • Training Word2Vec Model from sourced data - Issue Tokenizing data
  • Are scannerless parser grammars still supported in ANTLR4?
  • Python Pandas pivoting: how to group in the first column and create a new column for each unique value from the second column
  • hook_form_FORM_ID_alter: Pre select a checkbox from an exposed filter in a drupal 8 view
  • How to select rows which have both items in ManyToMany relation
  • get unique record counts of two joined tables
Trending Discussions on vocabulary

QUESTION

attribute error and key error in the join operation of string

Asked 2021-Jun-15 at 21:50

There is a function given as follows

# Transform a list of word ids into a caption.
    def ids2caption(self, caption_ids):
        id2word = self.vocabulary['id2word']
        return string.join([id2word[w] for w in caption_ids], " ")

It will cause the following error message

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-22-246a65714ebe> in <module>
     69 print('imgId', imgId)
     70 print('caption', caption.tolist())
---> 71 print('captionString', trainData.ids2caption(caption))

<ipython-input-22-246a65714ebe> in ids2caption(self, caption_ids)
     45     def ids2caption(self, caption_ids):
     46         id2word = self.vocabulary['id2word']
---> 47         return string.join([id2word[w] for w in caption_ids], " ")
     

AttributeError: module 'string' has no attribute 'join'

I changed its implementation to the following ones, and I got some other error messages.

# Transform a list of word ids into a caption.
def ids2caption(self, caption_ids):
    id2word = self.vocabulary['id2word']
    return "".join([id2word[w] for w in caption_ids])


---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-23-0f32ccd7d847> in <module>
     69 print('imgId', imgId)
     70 print('caption', caption.tolist())
---> 71 print('captionString', trainData.ids2caption(caption))

<ipython-input-23-0f32ccd7d847> in ids2caption(self, caption_ids)
     46         id2word = self.vocabulary['id2word']
     47         #return string.join([id2word[w] for w in caption_ids], " ")
---> 48         return "".join([id2word[w] for w in caption_ids])
     49 
     50     # Return imgId, and a random caption for that image.

<ipython-input-23-0f32ccd7d847> in <listcomp>(.0)
     46         id2word = self.vocabulary['id2word']
     47         #return string.join([id2word[w] for w in caption_ids], " ")
---> 48         return "".join([id2word[w] for w in caption_ids])
     49 
     50     # Return imgId, and a random caption for that image.

KeyError: tensor(5001)

ANSWER

Answered 2021-Jun-15 at 21:34

Your code doesn’t attempt to not fail if w isn’t a key in id2word, so it shouldn’t be too much of a surprise when it does fail. You could try changing

return "".join([id2word[w] for w in caption_ids])

To

return "".join([id2word.get(w,”UNKNOWN WORD”) for w in caption_ids])

Or even:

return "".join([id2word.get(w,w) for w in caption_ids])

Source https://stackoverflow.com/questions/67993679

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

Vulnerabilities

No vulnerabilities reported

Install vocabulary

You can download it from GitHub.
You can use vocabulary like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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