Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms

by   Tosin P. Adewumi, et al.

We present a fairly large, Potential Idiomatic Expression (PIE) dataset for Natural Language Processing (NLP) in English. The challenges with NLP systems with regards to tasks such as Machine Translation (MT), word sense disambiguation (WSD) and information retrieval make it imperative to have a labelled idioms dataset with classes such as it is in this work. To the best of the authors' knowledge, this is the first idioms corpus with classes of idioms beyond the literal and the general idioms classification. In particular, the following classes are labelled in the dataset: metaphor, simile, euphemism, parallelism, personification, oxymoron, paradox, hyperbole, irony and literal. Many past efforts have been limited in the corpus size and classes of samples but this dataset contains over 20,100 samples with almost 1,200 cases of idioms (with their meanings) from 10 classes (or senses). The corpus may also be extended by researchers to meet specific needs. The corpus has part of speech (PoS) tagging from the NLTK library. Classification experiments performed on the corpus to obtain a baseline and comparison among three common models, including the BERT model, give good results. We also make publicly available the corpus and the relevant codes for working with it for NLP tasks.


ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English

We present our work on collecting ArzEn-ST, a code-switched Egyptian Ara...

Vector Representations of Idioms in Conversational Systems

We demonstrate, in this study, that an open-domain conversational system...

Automatic Parallel Corpus Creation for Hindi-English News Translation Task

The parallel corpus for multilingual NLP tasks, deep learning applicatio...

MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora

Multi-word expressions (MWEs) are a hot topic in research in natural lan...

A Dataset of Kurdish (Sorani) Named Entities – An Amendment to Kurdish-BLARK Named Entities

Named Entity Recognition (NER) is one of the essential applications of N...

Speech Analysis for Automatic Mania Assessment in Bipolar Disorder

Bipolar disorder is a mental disorder that causes periods of manic and d...

The NLP Engine: A Universal Turing Machine for NLP

It is commonly accepted that machine translation is a more complex task ...

Please sign up or login with your details

Forgot password? Click here to reset