The EDICT Dictionary File
The EDICT Dictionary File Welcome to the Home Page of the EDICT file within the JMdict/EDICT Project. This page has been written by Jim Breen (hereafter "I" or "me") and is intended as an overview of the file, with links to more detail elsewhere. Background Way back in 1991 I began to experiment with handling Japanese text in computer files, and decided to try writing a dictionary search program i
TreeTagger
The TreeTagger can also be used as a chunker for English, German, French, and Spanish. The tagger is described in the following two papers: Helmut Schmid (1995): Improvements in Part-of-Speech Tagging with an Application to German. Proceedings of the ACL SIGDAT-Workshop. Dublin, Ireland. Helmut Schmid (1994): Probabilistic Part-of-Speech Tagging Using Decision Trees. Proceedings of International C
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Lemma (morphology) - Wikipedia
In morphology and lexicography, a lemma (pl.: lemmas or lemmata) is the canonical form,[1] dictionary form, or citation form of a set of word forms.[2] In English, for example, break, breaks, broke, broken and breaking are forms of the same lexeme, with break as the lemma by which they are indexed. Lexeme, in this context, refers to the set of all the inflected or alternating forms in the paradigm
Data and Software
Data moved to TUdatalib We moved all our datasets to TUdatalib. If you have trouble finding a dataset linked from one of our papers, do not hesitate to contact us. Explore all of our created datasets for a large variety of NLP related tasks:UKP datasets (TUdatalib) Find experimental software from our research projects at UKP:Visit our GitHub
Freebase
Send feedback Data Dumps Stay organized with collections Save and categorize content based on your preferences. Data Dumps are a downloadable version of the data in Freebase. They constitute a snapshot of the data stored in Freebase and the Schema that structures it, and are provided under the same CC-BY license. The Freebase/Wikidata mappings are provided under the CC0 license. Freebase Triples F
Home | Linguistic Data Consortium
Human language technologies require large amounts of data to train, develop and test models and systems. There is a direct relationship between data quality and system effectiveness, that is, good data makes good systems. LDC ensures that the community has access to high-quality data sets through effective data management practices that cover such matters as accessibility, usability, curation and
Flesch–Kincaid readability tests - Wikipedia
This article possibly contains original research. Please improve it by verifying the claims made and adding inline citations. Statements consisting only of original research should be removed. (March 2024) (Learn how and when to remove this message) Graphs of Flesch-Kincaid reading ease (red) and grade level (gray) scores against average syllables per word and average words per sentence The Flesch
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