Translate

Translate to мыхаӀбишды

Translation of the wiki page Basic language processing from English (en) to мыхаӀбишды (rut)

This tool does not work without JavaScript. JavaScript is disabled, failed to work, or this browser is unsupported.

Translations:Basic language processing/Page display title/rut

Basic language processing

You need translation rights to translate messages.Get permission

Under basis language processing, we understand part-of-speech tagging, lemmatization, named entity recognition, chunking and similar tasks which label individual words.‎

Edit

==Contemporary Dutch==‎

Edit

=== Frog ===‎

Edit

Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. Frog's current version will tokenize, tag, lemmatize, and morphologically segment word tokens in Dutch text files, will assign a dependency graph to each sentence, will identify the base phrase chunks in the sentence, and will attempt to find and label all named entities.‎

Edit

*[https://webservices.cls.ru.nl/frog Online version] *[https://languagemachines.github.io/frog/ Project website]‎

Edit

=== DeepFrog ===‎

Edit

DeepFrog aims to be a (partial) successor of the Dutch-NLP suite Frog. Whereas the various NLP modules in Frog were built on k-NN classifiers, DeepFrog builds on deep learning techniques and can use a variety of neural transformers.‎

Edit

*[https://huggingface.co/proycon/robbert-pos-cased-deepfrog-nld POS tagger]‎

Edit

The system is not yet officially released. *[https://github.com/proycon/deepfrog Github page]‎

Edit

=== LeTs ===‎

Edit

LeTs is preprocessor that can be used for Dutch, German, English and French.‎

Edit

*[https://lt3.ugent.be/resources/lets/ Project page] *[https://lt3.ugent.be/lets-demo/ Demo]‎

Edit

=== Spacy ===‎

Edit

Components: tok2vec, morphologizer, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner.‎

Edit

[https://spacy.io/models/nl Dutch models]‎

Edit

=== Stanza - A Python NLP Package for Many Human Languages ===‎

Edit

Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages.‎

Edit

* [https://stanfordnlp.github.io/stanza/#stanza--a-python-nlp-package-for-many-human-languages Stanza github pages]‎

Edit

===Trankit===‎

Edit

Trankit is a light-weight Transformer-based Python Toolkit for multilingual Natural Language Processing (NLP). It provides a trainable pipeline for fundamental NLP tasks over 100 languages, and 90 downloadable pretrained pipelines for 56 languages.‎

Edit

*[https://github.com/nlp-uoregon/trankit Trankit Github pages]‎

Edit

==Historical Dutch==‎

Edit

===GaLaHaD: Generating Linguistic Annotations for Historical Dutch===‎

Edit

GaLAHaD serves two purposes. One is to make annotation and tool evaluation easily accessible to researchers, the other to make it easy for developers to contribute their tools and models to the platform, and thus compare them to other tools with gold standard material.‎

Edit

[https://portal.clarin.ivdnt.org/galahad Webservice]‎

Edit

===Adelheid Tagger-Lemmatizer: A Distributed Lemmatizer for Historical Dutch===‎

Edit

With this web-application an end user can have historical Dutch texts tokenized, lemmatized and part-of-speech tagged, using the most appropriate resources (such as lexica) for the text in question. For each specific text, the user can select the best resources from those available in CLARIN, wherever they might reside, and where necessary supplemented by own lexica.‎

Edit

*[http://portal.clarin.nl/node/1918 CLAPOP page] *No working version found‎

Edit