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• WebLicht Lemmas EN

  1 resources

  WebLicht Easy Chain for Lemmatization (English). The pipeline makes use of WebLicht's TCF converter, the Stanford tokenizer, the Jitar POS Tagger, and the lemmatizer service from MorphAdorner. WebLicht's Tundra can be used to visualize the result.

• 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.

• asrservice

  2 resources

  An Automatic Speech Recognition Service for a variety of languages, powered by WhisperX

  Use "asrservice"

• foliadocserve

  2 resources

  The FoLiA Document Server is a backend HTTP service to interact with documents in the FoLiA format, a rich XML-based format for linguistic annotation (http://proycon.github.io/folia). It provides an interface to efficiently edit FoLiA documents through the FoLiA Query Language (FQL).

  Use "foliadocserve"

• int-pie

  2 resources

  The PIE tagger with custom modifications by the Dutch Language Institute (INT).

• Glem

  1 resources

  GLEM is a lemmatizer for Ancient Greek.

  Use "Glem"

• CodeMetaPy

  1 resources

  Codemetapy is a command-line tool and python library to work with the codemeta software metadata standard. Codemeta builds upon schema.org and defines a vocabulary for describing software source code. It maps various existing metadata standards to a unified vocabulary. Codemetapy allows you to generate codemeta from various sources.

  Use "CodeMetaPy"

• libfolia

  1 resources

  This is a C++ Library for working with the Format for Linguistic Annotation (FoLiA).

  Use "libfolia"

• vocabulary-recommender

  1 resources

  A generic linked data vocabulary recommender library that provides recommendation functions for various backends.

  Use "vocabulary-recommender"