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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.
  • 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.
  • 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.
  • 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/).
  • Text Tonsorium - Advanced mode.

    The Text Tonsorium designs and enacts workflows that fulfil your goal. Once in Text Tonsorium, you can define your goal by picking values from a few drop-down lists, e.g., annotation types in and file format of the output. Some annotation types are only available for a few languages, first and foremost Danish. In case your goal cannot be attained with the currently available tools, the Text Tonsorium will quickly let you know.
  • ShortTxTSummary

    A tool for summarizing texts. The tool automatically selects potentially key fragments of texts and then removes less important elements, ensuring the surface consistency of the text.
  • AspectEmo

    AspectEmo operates on the sound of individual words. This allows it to recognize nuanced or contrasting opinions within a single sentence or text, rather than providing an overall rating for an entire segment.