Recreating the Minoan Alphabet: How Close Are We?
Linear A – the script of the Bronze Age Minoan civilization (c. 1800–1450 BC) – remains only partially deciphered. For decades, researchers have worked to reconstruct its phonetic system and uncover the language it encodes. By comparing Linear A signs to those of the later Linear B script (used for Mycenaean Greek) and leveraging modern digital tools, scholars have made significant progress. We now understand much of the sign inventory and approximate sound values of Linear A, and new computational methods are bringing us closer to reading this ancient script. Below is an overview of efforts to reconstruct Minoan phonetics, develop a modern usable form of the script, and apply linguistic and computational techniques to approximate a full decipherment – including recent breakthroughs and digital tools that contribute to this goal.
Reconstructing Minoan Phonetics from Linear A Signs
One of the first steps toward “recreating” the Minoan writing system is to identify the sounds of Linear A symbols. Scholars have done this by drawing on Linear A’s close connection to Linear B (the script adapted from Linear A to write Mycenaean Greek). Key efforts and findings include:
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Homomorphic Sign Comparison: Many Linear A signs closely resemble Linear B signs in form. Researchers assume that signs with similar shapes had similar or identical phonetic values in both scripts (Linear A - Wikipedia) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). This homomorphy-homophony principle is considered generally reliable – it’s known to hold between Linear B and the later Cypriot syllabary, which descended from Linear A (Linear A - Wikipedia). In practice, about 80 “core” Linear A signs have clear counterparts in Linear B (catalogued with an “AB” prefix, e.g. AB 01, AB 08) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). These shared symbols likely carried over their Minoan sound values into Linear B, allowing scholars to assign approximate sounds to most common Minoan signs (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research).
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Phonetic Readings: Using Linear B values, experts can phonetically “read” Linear A texts with some accuracy (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). For example, a Linear A inscription spelling the sequence Pa-i-to corresponds to the place name Phaistos, exactly as it appears in Linear B records (Linear A - Wikipedia). Likewise, several personal names are spelled the same in both Linear A and B, confirming that the reading of those signs is likely correct (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). This means we can sound out many Minoan words and names with reasonable confidence, giving us a sketch of Minoan phonology (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). In fact, researchers have identified some common Minoan words by context – for instance, the word ku-ro (Linear A/B for “total”) appears in accounting texts and is understood to mean a summation (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays).
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Limitations – Not a Full Decipherment: Importantly, phonetic transcription is not the same as understanding the language. Even though we can assign sounds to symbols, the Minoan language itself remains untranslated – the words we read are mostly unintelligible in isolation (Linear A - Wikipedia). Decipherment is stalled because Minoan does not obviously match any known language. Additionally, not all Linear A signs have direct Linear B equivalents. Many rarer signs (including some only found at certain sites) have unknown values, and some signs might have served as logograms (whole-word symbols) rather than syllables (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) (Minoan language blog: How many Linear A signs do we have?). Scholars estimate the core phonetic inventory at roughly 50–80 signs that can be read (with varying certainty) using Linear B values (Minoan language blog: How many Linear A signs do we have?) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). The remaining signs are more tentative – for example, one analysis identified ~27 additional symbols with only dubious or uncertain readings despite clear Linear B counterparts (Minoan language blog: How many Linear A signs do we have?). There are also signs in Linear A used only as pictorial or “site-specific” symbols that never carried over to Linear B, which suggests their sounds (and the sounds of some rare Minoan syllables) are still unknown (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). Moreover, Minoan phonology might not have been identical to Mycenaean Greek – certain sounds may have differed or been absent. (Some researchers suspect, for instance, that Minoan lacked the vowel /o/ or that the Linear B “d” series signified a different sound like a dental fricative in Minoan (Linear A - Wikipedia).) All these factors mean that while the phonetic system is partly reconstructed, it is not complete or indisputable. We can approximate how Linear A words were pronounced, but we often don’t know what the words mean* (Linear A - Wikipedia).
Bottom line: Decades of comparative work have given us a provisional Minoan “alphabet” (syllabary) in sound, anchored by the values of Linear B. We are able to read Linear A out loud with some accuracy and recognize certain names, numbers, and terms. This is a huge step – essentially, much of the Linear A syllabary has been decoded phonetically (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). However, the underlying Minoan language is still untranslated, and a number of signs remain uncertain. The phonetic reconstruction provides the foundation for further decipherment, but it is only a partial recreation of the writing system’s full use and meaning.
Modern Alphabets and Revivals Inspired by Minoan Writing
Another aspect of “recreating” the Minoan script is making it usable in modern contexts. Even without knowing the language, scholars and enthusiasts seek to catalog, standardize, and even utilize Linear A signs today. Several efforts have effectively revived Linear A as a usable script:
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Standardizing the Sign Inventory: Researchers have compiled definitive lists of Linear A symbols, effectively creating a reference “alphabet” of the script’s characters. For example, the SigLA project (“Signs of Linear A”) led by Dr. Ester Salgarella at Cambridge has identified approximately 300 distinct Linear A signs (including core signs and variants) and is cataloguing all known inscriptions (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). Salgarella distinguishes about 80 core signs (common to all sites) from additional site-specific signs (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). By studying handwriting variations and refining what counts as a unique symbol, these projects clarify exactly which signs make up the Linear A script (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). This is critical for any modern usage – one needs a stable “alphabet” of symbols to work with.
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Unicode and Digital Fonts: A major development making Linear A usable today was its inclusion in the Unicode standard. In June 2014, Linear A characters (U+10600–U+1077F) were added to Unicode 7.0 (Linear A - Wikipedia). This means that all Linear A signs now have official computer code points, allowing for the creation of fonts and typing of Linear A on modern devices. For instance, Noto Sans Linear A, an open-source font, contains the full set of Linear A glyphs (Noto Sans Linear A - Google Fonts). Thanks to Unicode, anyone can digitally render Linear A text, which was impossible just a decade ago. This standardization is a form of “reconstructing” the alphabet: it defines the script in a modern computing context and preserves its characters for posterity. Scholars can now exchange Linear A data in emails or publications without resorting to images or special encodings (Linear A - Wikipedia) (Linear A - Wikipedia). In short, the script has been brought into the 21st century, enabling broader study and even casual use.
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Interactive Tools and Fonts for Public Use: Beyond scholarly transcription, there are attempts to popularize and teach the Minoan script. Dr. Salgarella, for example, created an interactive online page where users can explore a Linear A tablet and discover the meanings (phonetic values) of its signs (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). This kind of tool effectively acts as a modern primer or learning app for the Linear A syllabary. Likewise, the open-access SigLA database lets anyone search and view over 3,000 individual sign instances from 400 inscriptions, along with their readings and findspots (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). These resources make Linear A more accessible, not just to specialists but also to the interested public. Enthusiasts today can learn to recognize and write Linear A symbols using published sign charts, Unicode fonts, and even keyboard layouts developed for the script. In essence, one can write messages in Linear A today – albeit phonetically – much as one might use Tolkien’s Elvish runes, even if the actual language (Minoan) isn’t understood. This modern usage is mostly experimental and aesthetic, but it demonstrates that the “alphabet” (sign set) has been reconstructed enough to be used in practice.
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Modern Derivative Alphabets: Inspired by Linear A’s elegant lines, some designers have even created derivative scripts or artistic alphabets based on its signs. (For example, adaptations appear in fiction and games, using Linear A-like symbols to evoke an ancient feel.) While these aren’t scholarly efforts, they indicate the script’s shapes are comprehensible and reproducible now. More practically, educational revival is happening in Crete: museum exhibits and publications sometimes include Linear A reproductions, and local interest groups promote the cultural heritage of the Minoan scripts by teaching people how to draw the characters. All these activities treat Linear A almost like a known alphabet, at least in form. This public-facing revival would not be possible if the script’s signs had not been systematically reconstructed and catalogued by epigraphers over the years.
In summary, Linear A has been transformed from undeciphered marks on clay into a functional set of symbols that can be digitally and even creatively used. The development of modern fonts, encoding, and databases represents a form of alphabet reconstruction: we have defined what the Minoan signs are and given them life in contemporary media. This doesn’t mean we understand the language, but it means the writing system itself has been largely recovered and standardized, providing a crucial platform for further analysis or even hobbyist use.
Computational and Linguistic Methods to Decipher the Script
Reconstructing the Minoan “alphabet” is not only about listing signs and guessing sounds – it also involves deciphering how those signs convey language. A variety of linguistic analyses and new computational methods are being applied to approximate the full content and structure of Linear A. Here are some of the key approaches and recent efforts:
Linguistic Clues from Context and Structure
Even without a bilingual “Rosetta Stone,” scholars have teased out meaning by looking at how Linear A is used in its texts:
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Contextual Analysis: Researchers like John Younger and Ilse Schoep have examined Linear A tablets and inscriptions in detail to identify recurring patterns. By looking at where certain words or symbols appear (for example, next to numbers, or at the end of lists), they have recognized probable formatting words and abbreviations. Younger’s study of how words pair with numerals led to the identification of “transaction terms” – analogous to words like “total” or item markers – that show up repeatedly in accounting documents (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). For instance, a sequence interpreted as a terminator or sum indicator appears consistently in records, suggesting a meaning like “and” or “sum total” even if we can only read it phonetically (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). Similarly, by categorizing documents by topic (using the pictographic signs for commodities as a guide), Schoep could narrow down semantic fields, helping guess what certain signs might refer to (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). These analyses indicate that many Linear A texts are shorthand or abbreviations (stenographic records), which is a double-edged sword: it helped identify frequent functional words, but it means we rarely see full grammatical sentences (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). Nonetheless, this context-driven decipherment has yielded a handful of understood terms and a sense of how the script was used (mostly for economic and administrative records).
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Internal Structure – Grammar Hints: Linguist Yves Duhoux and others have looked for patterns within Linear A words to infer grammatical structure. One significant finding is that the Minoan language appears to use prefixes and suffixes heavily for word formation (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). Duhoux demonstrated that certain syllable patterns at the beginnings or ends of words repeat in ways suggesting they mark grammatical information (like gender, number, or case) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). For example, if many words in a context (say, list of persons or places) share an ending syllable, that ending might be a plural or a common suffix. This kind of morphological analysis implies that Minoan could be an agglutinative language, stacking small meaningful units onto words. While we can’t translate those affixes yet, recognizing them helps narrow down what family of languages Minoan might belong to (or not). Such observations provide an outline of syntax – we are beginning to see how words might have been inflected or constructed in Minoan (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). It’s another piece of the puzzle toward a full decipherment.
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Cross-Script Name Matching: As noted earlier, proper names (people and places) are valuable anchors. Researchers recently reaffirmed that many name spellings are shared between Linear A and Linear B, beyond just “Phaistos.” For example, names like ki-da-ro or a-ta-re in Linear A appear as ki-da-ro / a-ta-ro in Linear B records (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). Comparative studies by Torsten Meissner and Philippa Steele (as part of the CREWS project) have systematically compared such sign sequences and confirmed that using Linear B phonetic values on Linear A yields sensible results for these names (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). This greatly strengthens confidence in the phonetic assignments and has allowed a “sketchy outline” of Minoan phonology to be reconstructed (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). Essentially, we know how to pronounce many Minoan names and common terms, even if their meaning is known only by context (a name or title). This partial but solid decipherment is why scholars often say we can “read” Linear A (phonetically) without truly understanding it (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays).
Overall, linguistic detective work has yielded a partial understanding of Linear A’s content: numbers and commodities can be identified, some words (especially administrative terms) are understood from context, and the possible grammar and sound system of Minoan are sketched out. These traditional methods have been slow but steady, chipping away at the unknowns of the script.
Computational “Decipherment” Efforts
In recent years, researchers have increasingly turned to computational approaches to push decipherment further. The goal is to leverage computing power to detect patterns or test hypotheses that would be impractical manually. Here are some notable computational efforts and tools aimed at decoding or reconstructing Linear A:
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Statistical Pattern Analysis: Brent Davis, an archaeolinguist, is pioneering a statistical approach to determine if Linear A encodes the same language as other scripts. His method compares the patterns of sound combinations (phonotactics) in Linear A with those in Linear B and other Aegean scripts (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). The idea is that each language has unique constraints on how sounds can combine (for example, which consonants can follow which). By quantifying the frequency of symbol sequences in Linear A and comparing them to sequences in known scripts/languages, one can assess how likely it is that two scripts represent the same tongue (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). Davis’s work essentially asks: do Linear A texts “behave” like Mycenaean Greek written in Linear B, or like some other language, or something totally different? Early results of this linguistic constraint analysis help evaluate various hypotheses (e.g. is Minoan related to Eteocretan or other languages of the region?) without requiring direct translation. It’s a clever way to use computational linguistics to narrow down what family Minoan might belong to (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays).
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“Brute Force” Script Matching: Another strategy has been to use algorithms to match Linear A signs to other writing systems in an automated fashion. A 2024 study combined two novel methods: first, a feature-based visual comparison between Linear A signs and those of known scripts, and second, a computational test of vocabulary against various ancient languages (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). In the first step, software analyzed Linear A signs for visual similarities to signs in the Carian alphabet (an ancient Anatolian script) and the Cypriot syllabary, among others (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). This machine-driven comparison actually found a few Linear A symbols that closely resemble symbols in Carian and Cypriot, suggesting possible sound value equivalences (since those scripts are deciphered) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). In the second step, researchers applied the candidate phonetic values from those matches to Linear A inscriptions and then searched for recognizable words by comparing resulting “words” to vocabularies of several languages (Ancient Egyptian, Hittite, Luwian, Proto-Celtic, Uralic, etc.) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). This crunching of data yielded a few intriguing overlaps – potential word matches – between Linear A and words in those languages (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). For example, one or two Linear A sequences, when read with the hypothesized values, resembled an Egyptian word and a Luwian word, respectively (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). These matches could hint at linguistic links or loanwords. However, the authors caution that the results are not conclusive – the overlaps were very limited, and could be coincidence (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). The small corpus size of Linear A (only ~1400 inscriptions, many very short) means statistical confidence is low. Still, this computational brute-force approach is valuable as it can be repeated with different target languages and new sign hypotheses, systematically exploring many possibilities in a way a human cannot. It represents a cutting-edge attempt to “decode” Linear A using machine learning and exhaustive search (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas).
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Digital Corpora and Sign Databases: One essential tool feeding these algorithms is the creation of machine-readable corpora of Linear A. Projects like SigLA (paleographic database) and others have not only put images of inscriptions online but also encoded the sequences of signs in text form (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). Having a digital Linear A corpus allows researchers to apply computer algorithms directly to the data – for example, to search for all instances of a certain sign in context, or to train machine learning models on sign frequencies. In 2020, a team began consolidating all known Linear A inscriptions into a single online resource (Linear A - Wikipedia), ensuring that everyone is working from the same dataset. This has been complemented by efforts to capture the subtle variations of each sign (important for the visual comparison techniques mentioned above). Essentially, we now have Linear A in a form that computers can analyze, and this has unlocked new avenues of research. Some scholars have even created programs to generate thousands of possible decipherments of small Linear A texts by brute force, to see which ones produce valid words in potential donor languages – an approach that was unthinkable before modern computing. While no one has cracked the code yet, these digital tools dramatically increase the speed of testing hypotheses. They also make collaboration easier: for example, the code and data from the 2024 study were shared on GitHub, inviting other experts to reproduce or build on the results (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas).
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Assessing Language Relationships: Computational methods have also been used to evaluate claims that Minoan might belong to known language families (Indo-European, Semitic, etc.). Various researchers in the past proposed links (e.g., suggesting Minoan is related to Luwian, or to a Semitic tongue), but these have been largely speculative. Now, by using algorithms that compare Linear A sign sequences with words from many languages, scholars can provide more objective evidence for or against such theories. For instance, one study found negative results for a Semitic hypothesis, statistically undermining the idea that Linear A could be encoding a Semitic language (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). Another controversial theory by Hubert La Marle posited an Indo-Iranian affinity; computational evaluation of his decipherment showed it to be unfounded and likely an over-interpretation (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). In this way, computing helps weed out weaker hypotheses. On the other hand, the limited but intriguing matches found with Indo-European languages (like a Proto-Celtic word similarity) in the 2024 study keep those possibilities open, even if only marginally (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). The end result is a more data-driven understanding of which language families are worth further investigation for Minoan connections, versus which can be ruled out.
Where do these efforts leave us? In essence, computational approaches have augmented traditional decipherment by providing tools to systematically analyze Linear A. They have not yet produced a breakthrough decipherment – no algorithm has spit out a full translation or a definitive identification of the Minoan language. However, they have pushed the research further than before. We now can say with more confidence what Linear A is not (e.g., not simply a cipher for Greek or a straightforward Semitic language) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). We also have new leads on what it could be related to, and we’ve managed to assign plausible values to a few more signs via cross-script matches (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas). Importantly, these methods are iterative: as the corpus grows (with new discoveries or re-evaluations of known tablets) and as algorithms improve, the likelihood of a major decipherment increases. The computational framework established – including publicly shared data and code – means future researchers can quickly test new ideas, essentially trying thousands of “keys” on the Linear A lock at unprecedented speed. This collaborative, high-tech approach is a notable breakthrough in itself, even if the ultimate solution remains elusive for now.
Recent Breakthroughs and Ongoing Progress
In the past few years, a combination of interdisciplinary scholarship and new technology has yielded breakthroughs that bring us closer than ever to “recreating” the full Minoan script. Some highlights include:
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Linking Linear A and Linear B – Salgarella’s Breakthrough (2020–2023): Dr. Ester Salgarella’s research, culminating in her 2020 book Aegean Linear Script(s): Rethinking the Relationship Between Linear A and Linear B, has been hailed as “an extraordinary piece of detective work” (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). By carefully comparing the two scripts, she demonstrated they are even more closely related than previously thought. Her identification of the 80 “core signs” shared by both, and clarification of how some Linear A signs evolved or were repurposed in Linear B, has firmed up the phonetic readings of Linear A (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). In interviews, Salgarella notes that if we assume shared signs have similar sounds, we can approximate a phonetic reading of any Linear A text (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). Her open-access SigLA database (developed with computer scientist Simon Castellan) is a major tool for others, consolidating all inscriptions and providing a platform to analyze them side by side (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). This work doesn’t decode entire texts, but it gives scholars a clear roadmap of the script’s sign inventory and variations, removing a lot of past confusion (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). As Professor Tim Whitmarsh at Cambridge remarked, Salgarella has “brought us one step closer to understanding [Linear A]. It’s an extraordinary piece of detective work.” (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). Essentially, this is a breakthrough in the paleography and systematic study of Linear A, enabling more effective decipherment efforts going forward.
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Digital Corpus Completion: By 2020, for the first time, all known Linear A texts were being made available online in a unified corpus (Linear A - Wikipedia). This is a quiet breakthrough that cannot be overstated – earlier generations of researchers had to rely on printed copies (like the 1985 GORILA volumes) and often lacked access to many inscriptions. Now, with high-quality photos, drawings, and transcriptions accessible through projects like SigLA and others, the entire body of Linear A evidence is at every scholar’s fingertips. This democratization of data has already led to new insights (errors in earlier readings have been corrected, and previously overlooked details spotted) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). It also invites crowdsourced analysis – even amateur linguists can comb through the corpus to find patterns. In one case, internet collaboration was mentioned as a potential key: Salgarella noted that the internet community could help uncover hidden links between Linear A and Linear B by sharing data and ideas (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research). While no crowdsourced decipherment has occurred yet, having the data freely available is an essential step. It means any new AI or algorithm can ingest the complete dataset, and any proposed decipherment can be rigorously checked against all known texts. In short, the digital reconstruction of the Minoan script – scanning, encoding, and sharing all its instances – is largely complete, which is a huge milestone on the road to full decipherment.
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Advanced Imaging and Epigraphic Methods: Recent technological breakthroughs in imaging (like 3D laser scanning and multispectral photography) are allowing us to read worn or damaged Linear A inscriptions more accurately, and even discover new ones. For example, some tablets or sealings that were previously illegible have been re-examined with modern equipment, revealing additional signs. Every new sign or text potentially adds a piece to the puzzle. While not as publicized as the computational work, these epigraphic advances mean our corpus of readable Linear A is growing (even without new archaeological finds). With more data points, statistical and linguistic analyses become more reliable.
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Scholarly Collaboration and Interdisciplinary Conferences: The effort to decipher Linear A has become highly interdisciplinary – archaeologists, linguists, computer scientists, and even cryptographers are now working together. In the last few years, workshops and conferences (often virtual) have been convened specifically on undeciphered scripts, where Linear A features prominently. Scholars share the latest techniques from machine translation, talk through new hypotheses (e.g., could Linear A encode more than one language? Is it a creole?), and coordinate on publishing data. This atmosphere of collaboration is itself a breakthrough from earlier decades when decipherment was often attempted by isolated individuals. Now there’s a sense of a concerted, community effort to finally crack the Minoan code. The funding of projects like Dr. Francesco Perono Cacciafoco’s “Giving Voice to the Minoan People: The Decipherment of Linear A” (2018–2021) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas) is evidence of institutional support for these efforts. Such projects bring together experts in computing and linguistics to focus on Linear A specifically, something that hasn’t happened at this scale before.
How close are we, then? We have now reconstructed the “alphabet” of Minoan writing to a great extent – nearly all Linear A signs are catalogued and many have plausible phonetic values. We can read tablets and know roughly what type of information they contain (usually lists of goods, names, and numbers) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays). Thanks to modern alphabets and fonts, we can even write out Linear A and experiment with it, bringing this 3,500-year-old script back to life in our computers and publications (Linear A - Wikipedia). The combination of traditional scholarship and cutting-edge computational analysis has yielded partial translations (certain words and phrases) and a much clearer picture of how the script works. Importantly, recent breakthroughs like Salgarella’s work have validated the path we’re on – showing that Linear A and B are tightly connected and that our phonetic readings are likely on the right track (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research).
However, a full decipherment – a complete recreation of the Minoan language – remains the ultimate goal and is not yet achieved. We are closer than ever: as one headline put it, “Scientists [are] one step closer to cracking the Minoan Linear A script.” (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) Every year, incremental progress is made, whether it’s identifying a new sign’s value or ruling out a wrong hypothesis. The current trajectory is hopeful: with the entire script now digitized and an army of interdisciplinary researchers at work, the mystery of Linear A is steadily unraveling. In the words of Prof. Whitmarsh, cracking Linear B was a huge triumph, “but Linear A has remained elusive… [now] she (Dr. Salgarella) has brought us one step closer to understanding it.” (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) It may take more “extraordinary detective work,” but the foundation – the reconstructed Minoan “alphabet” – is largely in place. The coming years will likely see even more digital tools, maybe AI language models, applied to Linear A. If a breakthrough decipherment occurs, it will stand on the shoulders of all the efforts described above.
In summary: We have essentially rebuilt the Minoan script’s character set and its sound system on paper, and made it usable in the modern world through Unicode and databases. What remains is to fully comprehend the language behind those characters. The recreation of the Minoan alphabet is nearly complete; the recreation of the Minoan language is the next great leap. With ongoing scholarly and technological efforts, that leap seems increasingly within reach, promising to finally give voice to the ancient Minoans on their own terms. (Linear A - Wikipedia) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research)
Sources:
- Younger, J., Salgarella, E., et al., Comparative analyses of Linear A and Linear B signs and inscriptions – Cambridge University, 2020-2023 (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays).
- Godart, L. & Olivier, J.-P., GORILA: Corpus of Linear A Inscriptions, 1976-1985 (and online supplement via SigLA, 2020) (Linear A - Wikipedia).
- Davis, B., Minoan Phonology and Script Internal Analysis, Univ. of Melbourne, 2019 (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays).
- Perono Cacciafoco, F., & Nguyen, A., “Minoan Cryptanalysis: Computational Approaches…”, Information 15(2):73 (2024) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas) (Minoan Cryptanalysis: Computational Approaches to Deciphering Linear A and Assessing Its Connections with Language Families from the Mediterranean and the Black Sea Areas).
- Duhoux, Y., and Schoep, I., Structure of Linear A and Minoan Language Insights, various articles 2000–2010 (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays).
- Unicode Consortium, “Linear A Unicode Block (U+10600–U+1077F)”, Version 7.0 (2014) (Linear A - Wikipedia).
- Greek Reporter – P. Claus (Aug 20, 2023), “Minoan Language Linear A Linked to Linear B in Groundbreaking Research” (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research) (Minoan Language Linear A Linked to Linear B in Groundbreaking New Research).
- Salgarella, E., Aeon Essay (2020), “Cracking the Cretan Code” (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays) (Without a Rosetta Stone, can linguists decipher Minoan script? | Aeon Essays).
- András Zeke, Minoan Language Blog (2010), “How many Linear A signs do we have?” (Minoan language blog: How many Linear A signs do we have?) (Minoan language blog: How many Linear A signs do we have?).