Search results

• 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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• Basque NERC

  Basque NERC is an open-source tool for recognizing and categorizing proper names in text, such as people, places, and organizations in Basque.

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• TranscriptionPortal

  A portal that implements a transcription chain for batch processing of speech files using automatic speech recognition, the OCTRA editor, the Munich Automatic Segmentation MAUS and the EMU-webApp viewer.

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• LEM

  Service that is used to process literary texts to extract statistical information from them. The service allows, among others, lemmatization, determining parts of speech, characterization of verbs used in the text, creating a list of proper names and extracting statistics from the corpus of texts.

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• Postagger

  Set of tools used in natural language processing to assign labels or tags to text elements such as words or tokens. Postagger works at the stage after the text has been analyzed by a morphological or syntactic tagger and is intended to make the final classification and assign appropriate labels to individual text elements.

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• MultiEmo

  Tool for the multilingual sentiment analysis of texts.

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• iDAI.vocab DE

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

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• TxTParaphrase

  Based on a deep language model that analyzes the semantic content of statements and generates texts with the same meaning but with a changed form. The tool returns text of a similar length to the text entered by the user.

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• LiLa Text Linker

  The LiLa Text Linker is a pos-tagger and Lemmatizer for Latin that also provides, for each analyzed token, a link to the lemma entry in the LOD-compliant LiLa Lemma Bank. The tool was produced in the context of the 'LiLa - Linking Latin' project (https://lila-erc.eu/).

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