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PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There ar... Read more

Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"

Linguistic Datasets for Portuguese: Lista de conjuntos de dados linguísticos para língua portuguesa com licença flexíveis: banco de dados, lista de palavras, sinônimos, antônimos, dicionário temático, tesauro, linked data, semântica, ontologia e representação de conhecimento

A dataset mapping English words to CEFR levels based on the CEFR-J dataset, word lemmas, stems, parts of speech (POS), and frequency data from the N-Gram Google dataset. Ideal for NLP tasks, language proficiency assessment, and linguistic research.

A web framework to display Cross Linguistic Linked Data.

FoLiA: Format for Linguistic Annotation - FoLiA is a rich XML-based annotation format for the representation of language resources (including corpora) with linguistic annotations. A wide variety of linguistic annotations are supported, making FoLiA a useful format for NLP tasks and data interchan... Read more

CLDF: Cross-Linguistic Data Formats - the specification

This tool helps automatic generation of grammatically valid synthetic Code-mixed data by utilizing linguistic theories such as Equivalence Constant Theory and Matrix Language Theory.

Data and code for the experiments in: "Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection". Vered Shwartz, Enrico Santus and Dominik Schlechtweg. EACL 2017.

Script to download corpora from the Linguistic Data Consortium (LDC)