2022-02-25: Evaluating MAN, the Tool that Utilizes Google Translate to Normalize Arabic Names' Transliterations in Cross-Language Information Retrieval
Introduction: The increased use of Natural Language Processing (NLP) techniques is fueled by the need to process massive amounts of data, the demand for clever chat bots, and other human-computer interaction tasks. Named Entity Recognition (NER) is one of the most important techniques in NLP . The extracted named entities offer computers a way to classify documents, perform semantic analysis on textual information, etc. In other words, NLP allows machines to understand human language(s). Speaking of languages, Cross-Language Information Retrieval (CLIR) gained traction in the past two decades or so due to the unprecedented rise in globalization, transnational companies, international news outlets, social media, and internet use. CLIR requires a translation service since CLIR deals with retrieving information written in languages different from the language of the user's query. In August 2020, I proposed an approach for extracting named entities from Arabic text using a combi