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• iDAI.vocab ZH

  1 resources

  The German Archaeological Institute is a scientific institution of the confederation in the business area of the Department of Foreign Affairs.

• UDPipe

  1 resources

  UDPipe is an trainable pipeline for tokenization, tagging, lemmatization and dependency parsing of CoNLL-U files. UDPipe is language-agnostic and can be trained given only annotated data in CoNLL-U format. Trained models are provided for nearly all UD treebanks.

• TermoPL

  Tool used to automatically extract domain terminology from texts. In addition to terminology, the tool can be used to extract multi-word units. Terminology extraction is a helpful mechanism, among others: in creating domain dictionaries, resources for translating texts and document summaries, in developing an ontology of a given field, in document annotation and supporting the search for answers to questions.

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• Text Tonsorium - Lemmas.

  The Text Tonsorium designs and enacts workflows that fulfil your goal. Here, the goal is set to "lemmatization of the input". Once in Text Tonsorium, you can refine or change the goal.

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• OCTRA

  OCTRA is a web-application for the orthographic transcription of audio files supporting in place ASR and Word Alignment.

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• Dewulgaryzator

  Service that allows you to replace vulgar expressions with their non-vulgar equivalents while maintaining the original character of the text.

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• Punctuator

  Unlike simple tools built into word processors, this tool applies context-sensitive spelling rules rather than placing characters mechanically. It adds not only punctuation marks, but also dots after ordinal numbers and parentheses around parentheses.

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• Keytool

  Service integrates several keyword determination methods, including generative models and multi-label classification. The combination of several advanced techniques makes the results more reliable and accurate.

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• Topic

  A service for automatically extracting information about what topics are covered in the texts. It uses topic modeling (LDA), which detects topics based on the co-occurrence of words in one document. The service assigns each document to several topics. The detected topic represents what a list of pairs: the word and the probability of its occurrence in the topic. It enables qualitative (detection of non-obvious topics) and quantitative analysis of processed texts.

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• Hatespeech

  Tool presents the intensity of hate speech to show on a scale how individual texts are assessed from the recipient's perspective.

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