Morphological parser
Automatic morphological parser from the Miguel de Cervantes Virtual Library allows the analysis of sentences of up to 500 characters, automatically isolates each token of the sentence and identifies its grammatical category. It uses the Ancora Corpus to describe these categories.
Arethusa annotation tool to create dependency trees. Arethusa is included in the Perseids platform which is a free and open online environment to produce editions based on data from old documents.
Berkley Neural Parser annotates a sentence with its syntactic structure by decomposing it into nested sub-phrases.
Collatinus-web web version of the lemmatizer and morphological analyzer of Latin texts.
FreeLing is a C++ library providing language analysis functionalities (morphological analysis, named entity detection, PoS-tagging, parsing, Word Sense Disambiguation, Semantic Role Labelling, etc.) for a variety of languages.
Stanford Parser a natural language parser is a program that works out the grammatical structure of sentences. Probabilistic parsers use knowledge of language gained from hand-parsed sentences to try to produce the most likely analysis of new sentences. You can try out our parser online: https://nlp.stanford.edu/software/lex-parser.html#Download
UDPipe on-line web application and web service that allows the tokenisation, labelling, lemmatisation and dependence analysis of CoNLL-U files. UDPipe is language independent and can be trained with data annotated in CoNLL-U format.