The impact of lemmatization for morphologically-rich languages Abstract Are there ways to improve the performance of language models, beyond increases in size -both in the number of model parameters or in the size of training corpora? Our benchmarks show that another...
Arabic is a complex language for NLP tasks, even for simple ones like lemmatization. There are several reasons for this: Arabic creates words based on roots: for example, the word کتاب (kitab, “book”) is derived from ك ت ب (k t b). Many related words are derived from...
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