Learning Greek as a second or foreign language has drawn the attention of many researchers throughout time. A dictionary is amongst the first things a foreign language student uses. Reading comprehension is significantly improved by the use of a dictionary, especially when this includes the way words are pronounced. We developed a assistance software for learning the Greek Language via Greeklish. Since, the basic vocabulary of a language is the basis of understanding the language itself, the dictionary proposed aims to make the basic Greek words easier to pronounce as well as to give the explanation of the word in English. The aim of this software is to provide a useful tool to learn the Greek language individually. Moreover, it aims to be involved, as an assistance tool for learning Greek as a second or foreign language.

This document is a short introductory guide to the digital tools available for supporting the study of Ancient Greek and Latin. The first part of this guide is a list of our preferred digital tools for supporting Ancient Greek and Latin learning. This list is not exhaustive, but it does include a variety of generative AI tools and their ideal uses for supporting ancient language learning. The second part of this guide is a series of pre-prepared prompts which can be copy-pasted into a conversational AI tool to guide the conversation towards your expected learning level.

Gloria Mugelli, Giulia Re, Andrea Taddei & Federico Boschetti describe the Ephoria EDU system, a resource for digital annotation of ancient texts developed by the Lab. of Anthropology of Ancient Greece (LAMA), the CoPhiLab at the ILC-CNR in Pisa and the Venice Digital and Public Humanities Department. The system allows to structure textual information by connecting keywords and creating networks of concepts such as ritual actions in Greek Tragedy. It is applicable to all kinds of linguistic or cultural observations, allowing a wide range of collaboration between teachers and students from high school to university.

This chapter argues that manual linguistic annotation of Ancient Greek texts can be effectively employed to teach of Greek literature and languages. Under the supervision of a teacher, students can be engaged into the ongoing creation of the Ancient Greek Dependency Treebank. With the help of one example from Sophocles (Tr. 962–3), we will illustrate how the collective work of tree-banking in a class environment provides an ideal occasion to discuss the methods of Classical Philology and the history of interpretation of a given passage; more importantly, while producing a treebank annotation, students can learn how to read a complex text in its literary and communicative context following the methods of textual criticism. New and old research questions emerge from the work; at the same time, through the final annotation the students will produce a tangible contribution to a crucial initiative that is likely to change the way Greek grammar will be studied in the future.

In this paper we first briefly describe the design of a corpus containing the Koine Greek original text of the New Testament and its translations in to Gothic, Latin, Old Church Slavic and Armenian. We then discuss extensively the annotation that we have applied in each layer of annotation: morphology and syntax, information structure, animacy, and token alignment. For each type of annotation we provide some preliminary results and applications that draw on it, often in combination with other layers of annotation.

Greek documentary papyri form an important direct source for Ancient Greek. It has been exploited surprisingly little in Greek linguistics due to a lack of good tools for searching linguistic structures. This article presents a new tool and digital platform, “Sematia”, which enables transforming the digital texts available in TEI EpiDoc XML format to a format which can be morphologically and syntactically annotated (treebanked), and where the user can add new metadata concerning the text type, writer and handwriting of each act of writing. An important aspect in this process is to take into account the original surviving writing vs. the standardization of language and supplements made by the editors. This is performed by creating two different layers of the same text. The platform is in its early development phase. Ongoing and future developments, such as tagging linguistic variation phenomena as well as queries performed within Sematia, are discussed at the end of the article.

This paper reports on a course-support system for English learners of Greek which is built around an Intelligent Language Tutoring System (ILTS). Meaningful interaction between the learner and the system is achieved by a number of means: First, students provide natural language input rather than selecting exclusively from among pre-defined answers. Second, the ILTS uses Natural Language Processing to analyze the learners input and to provide errorspecific feedback. Third, the system contains a Student Model which keeps a record of students performance histories. The information about each learner in the Student Model determines the level of specificity of feedback messages, clues, and exercise difficulty. In addition to vocabulary and grammar exercises, the system also contains oral dialogues with translations, a glossary, and cultural information. The system is designed for introductory learners of Greek and is implemented on the World Wide Web. 1.

Natural language text analysis presupposes the encoding of morphological phenomena. In this article, we present some particularities of Modern Greek and the way these are encoded in the presented electronic lexicon. The project plan of its development combined both simple planning algorithms and more elaborate ones for the generation and recognition processes. The resulted lexicon exhibits fast access to its contents and easy content management. It is re-usable and modular enough to support existing NLP applications.