NLP for The Greek Language: A Longer Survey
Katerina Papantoniou, Yannis Tzitzikas

TL;DR
This survey comprehensively reviews three decades of NLP research, tools, and resources for Greek, including ancient and dialectal forms, highlighting progress and gaps in the field.
Contribution
It provides a detailed categorization and discussion of Greek NLP research, resources, and tools across different processing layers and language forms, filling a gap in language-specific NLP surveys.
Findings
Extensive list of Greek NLP resources and tools
Coverage of ancient, modern, and dialectal Greek forms
Identification of research gaps and future directions
Abstract
English language is in the spotlight of the Natural Language Processing (NLP) community with other languages, like Greek, lagging behind in terms of offered methods, tools and resources. Due to the increasing interest in NLP, in this paper we try to condense research efforts for the automatic processing of Greek language covering the last three decades. In particular, we list and briefly discuss related works, resources and tools, categorized according to various processing layers and contexts. We are not restricted to the modern form of Greek language but also cover Ancient Greek and various Greek dialects. This survey can be useful for researchers and students interested in NLP tasks, Information Retrieval and Knowledge Management for the Greek language.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling
