Text corpus

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  • Text corpus is a large structured collection of text documents in which a portion of or the entire text documents are annotated.[1]
  • Text corpus a significant language resource used in a variety of NLP research themes and applications.[1]
  • A great portion of our text corpus is publicized for research (Non-Commercial use).[1]
  • This is a text corpus that is manually annotated with various linguistic information.[2]
  • To recover the complete annotated corpus, it is necessary to obtain the Mainichi 1995 CD-ROM.[2]
  • The collection of the texts for building the corpus was done by scrapping the news portals available freely in the public domain.[3]
  • However, a small workaround can be done to use the NLTK tokenize function on the Nepali text corpus.[3]
  • The text corpus was used to find the most frequently used words (stop words) in the Nepali language.[3]
  • The tokenized words from the corpus which were present in the list of stop words were removed.[3]
  • Take down: We will comply to legitimate requests by removing the affected sources from the next release of the corpus.[4]
  • Some classes to represent elements in a text corpus.[5]
  • At the Text Laboratory, University of Oslo, we are currently developing a new version of our corpus search and post-processing tool Glossa.[6]
  • Use of the corpus is restricted at present to staff and researchers at the University of Reading, and it is only available 'on-site'.[7]
  • Not-so-fun fact of the day: in Latin, corpus means body.[8]
  • It is worth noting that a corpus can be composed of any written language, and most languages do in fact have myriad examples of corpora.[8]
  • Or you can compile a folder of documents on your computer and turn it into a corpus.[8]
  • In this article, I’ll be showing you how to make a corpus out of a folder of TXT files.[8]
  • The form and c ontent of a corpus may vary based on the type of corpus users.[9]
  • A corpus may be made up of whole texts or of fragments or text samples.[10]
  • It may be a ‘closed’ corpus, or an ‘open’ or ‘monitor’ corpus, the composition of which may change over time.[10]
  • Online books, newspapers, magazines, blogs and social websites are utilized to build Sindhi text corpus.[11]
  • based text corpus is developed and analyzed with Document Term Matrix and TF-IDF models using 2-gram technique of n-gram model.[11]
  • The spoken part consists mainly of the telephone based Switchboard corpus.[12]
  • This corpus contains 39,155 legal cases including 22,776...[13]
  • One of the first things required for natural language processing (NLP) tasks is a corpus.[14]
  • In linguistics and NLP, corpus (literally Latin for body) refers to a collection of texts.[14]
  • In order to easily build a text corpus void of the Wikipedia article markup, we will use gensim, a topic modeling library for Python.[14]
  • Now that you are armed with an ample corpus, the natural language processing world is your oyster.[14]
  • When only two languages are selected, a multilingual corpus behaves as a parallel corpus.[15]
  • In this paper, we present the corpus to be used for this research.[16]
  • We demonstrate that the Verbal Autopsy corpus has properties of human language and similarities to other corpora.[16]
  • Apart from the primary objective of predicting causes of death, this corpus has potential, to be of interest for other linguistic research.[16]
  • In a comparable corpus , the texts are of the same kind and cover the same content, but they are not translations of each other.[17]
  • A corpus is a collection of texts, written or spoken, usually stored in a computer database.[18]
  • For example, a very large corpus would be required to help in the preparation of a dictionary.[18]
  • A text corpus is a large and structured set of texts (nowadays usually electronically stored and processed).[19]
  • a corpus of learner written English.[19]
  • As just mentioned, a text corpus is a large body of text.[20]
  • When we defined emma , we invoked the words() function of the gutenberg object in NLTK's corpus package.[20]
  • Note Most NLTK corpus readers include a variety of access methods apart from words() , raw() , and sents() .[20]
  • The Brown Corpus was the first million-word electronic corpus of English, created in 1961 at Brown University.[20]

소스

  1. ↑ 1.0 1.1 1.2 AsoSoft Text Corpus
  2. ↑ 2.0 2.1 Kyoto University Text Corpus
  3. ↑ 3.0 3.1 3.2 3.3 A Large Scale Nepali Text Corpus
  4. ↑ Download
  5. ↑ text-corpus
  6. ↑ The Glossa corpus search system
  7. ↑ The Reading Academic Text corpus
  8. ↑ 8.0 8.1 8.2 8.3 Creating a Custom Corpus
  9. ↑ (PDF) Issues in Text Corpus Generation
  10. ↑ 10.0 10.1 15 Language Corpora
  11. ↑ 11.0 11.1 Development of Sindhi text corpus
  12. ↑ English text corpus for download
  13. ↑ SigmaLaw - Large Legal Text Corpus and Word Embeddings
  14. ↑ 14.0 14.1 14.2 14.3 Building a Wikipedia Text Corpus for Natural Language Processing
  15. ↑ Corpus types: monolingual, parallel, multilingual…
  16. ↑ 16.0 16.1 16.2 Web Text Corpus for Natural Language Processing.
  17. ↑ Text corpus
  18. ↑ 18.0 18.1 The 21st Century Text
  19. ↑ 19.0 19.1 List of text corpora
  20. ↑ 20.0 20.1 20.2 20.3 2. Accessing Text Corpora and Lexical Resources

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  • [{'LOWER': 'text'}, {'LEMMA': 'corpus'}]
  • [{'LEMMA': 'corpus'}]
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