DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings
arXiv:2011.10970
Abstract
Word embeddings are a core component of modern natural language processing systems, making the ability to thoroughly evaluate them a vital task. We describe DiaLex, a benchmark for intrinsic evaluation of dialectal Arabic word embedding. DiaLex covers five important Arabic dialects: Algerian, Egyptian, Lebanese, Syrian, and Tunisian. Across these dialects, DiaLex provides a testbank for six syntactic and semantic relations, namely male to female, singular to dual, singular to plural, antonym, comparative, and genitive to past tense. DiaLex thus consists of a collection of word pairs representing each of the six relations in each of the five dialects. To demonstrate the utility of DiaLex, we use it to evaluate a set of existing and new Arabic word embeddings that we developed. Our benchmark, evaluation code, and new word embedding models will be publicly available.
arXiv commentWANLP2021
References in corpus (5)
- Distributed Representations of Words and Phrases and their Compositionality
- Natural Language Processing (almost) from Scratch
- AraBERT: Transformer-based Model for Arabic Language Understanding
- Polyglot: Distributed Word Representations for Multilingual NLP
- WordRep: A Benchmark for Research on Learning Word Representations