Morphology tab
There are three ways to explore the corpus:
- Filter: pick a part of speech and MOPSOS shows only the grammatical features that actually apply to it.
- Custom queries: tucked inside the Filter card, for writing your own read-only queries by hand. Press Enter to run.
- Distribution Charts: count tokens by any dimension (book, lemma, case…), optionally broken down by a second dimension, under any filter. For example: which books have the most aorist optatives, or how noun number and case combine.
1. Filter
Pick a part of speech to reveal the features that apply to it; choose any values and Apply. Results are paginated 50 per page.
Read-only SQL over table morphology. Reserved-word columns are quoted, e.g. WHERE "case" = 'g'. Enter runs · Shift+Enter for a new line · results are not paginated.
Ready: write SQL and press Enter.
2. Distribution Charts
Count tokens by a dimension, cross-tabulate two of them, or draw a co-occurrence network of words that share a sentence. Add filters to focus. For example, set part of speech to Verb, mood to Optative, tense to Aorist, then count by Book.
Greek and Beta Code match the corpus lemma list directly (accent-insensitive). The network shows the words that actually share a sentence with the chosen lemma, counted live from the corpus.
Limit by (optional)
1. Nominal compounds
Nominal compounds panel
Filter the analyzed compounds by first member, second member, member category, stem subcategory (s-stem, thematic, and so on), or attesting work; see which members are commonest, how the member categories pair up, and where the matching compounds sit in the verse.
- Members: pick a specific member (type Greek with or without accents, or Beta Code, or click to browse the attested members) or a member category; a specific member fixes its category anyway, so use whichever is handier. A stem subcategory (s-stem, thematic, and so on) narrows a slot further wherever the analysis records one, and its list adapts to the chosen category. The member values come from the compound analysis itself, and the slots combine freely.
- Lookup: choosing one compound shows its members, every metrical position it takes in the verse (form, shape, feet, princeps or biceps start), every occurrence in the corpus with its line text, and a button that scans all of its lines word by word.
Members of the matching compounds
The commonest first and second members among the compounds matching the filters above. Pick a category and this shows which members carry it.
Metrical localization
Show generated SQL
1. Infinitive forms
Tense and voice combinations attested among infinitives.
Show generated SQL
Morphotactics tab
Morphotactics is the study of how morphemes and morphological features are ordered and combined. Each panel explores a different aspect of the corpus:
- Nominal compounds: filter the analyzed compounds by a specific first or second member (adaptive Greek or Beta Code input, with a browsable list of attested members) or by the members’ syntactic categories or stem subcategories (s-stem, thematic, and so on, wherever the analysis records one), and by attesting work. The panel shows how the member categories pair up, the commonest first and second members among the matches, and where the matching compounds are localized in the hexameter (from the merged metrical record); the lookup gives one compound’s members, every metrical pattern it shows, every occurrence in the corpus with its line text, and a button that scans all of its lines word by word.
- Infinitive forms: tense/voice combinations attested among infinitives, optionally restricted to a work; includes a lookup for an individual verb's attested infinitive forms.
- Word-class sequencing: a transition matrix of part of speech to next part of speech for adjacent tokens within a sentence.
- Feature co-occurrence: the co-occurrence of one morphosyntactic component with another inside the same word, optionally restricted to one part of speech.
- Paradigm slots: how often each value of a feature is filled for a chosen part of speech; only the features that actually apply to that part of speech are offered.
Only the features that actually apply to the chosen part of speech are offered.
Result
Pick a view above and click “Render view”.
Show generated SQL
Stylometry tab
Each unit you cluster (a work, an author, a part-of-speech class…) becomes a "document". Its features are the frequencies of the tokens it contains, turned into a profile and compared with a distance measure; units that come out close together are grouped into the same cluster.
- Cluster by sets what each point represents. For part of speech, number, and case you can pick a specific value (e.g. cluster works by how they use verbs) or cluster the categories themselves.
- Limit to restricts the corpus before features are built: by work, by author, or by grammar (pick a part of speech, then add only the features that apply to it).
- Advanced features / clustering options expose the feature model, distance metric, method, and number of clusters. Sensible defaults are used otherwise.
1. Configure features
Pick what each point represents and (optionally) restrict the data. Everything else has sensible defaults under Advanced features.
Choose a part of speech first; then only the features that apply to it can be added, so compatible attributes combine (e.g. tense + number on a verb) while incompatible ones (e.g. person + case) never appear together.
2. Clustering strategy
Sensible defaults are applied. Open Advanced clustering options to change the method or the number of clusters.