Greek Learner Corpus Gateway

The single online interface to the Greek Learner Corpus (GLC), the largest freely available error-annotated corpus of Greek as a second or foreign language, with rich learner metadata.

Use the tabs above to explore the corpora: descriptive Overview statistics, Learner Analytics, and the two subcorpora GLC v.1 and GLC v.2 (error annotations, search/concordancer and part-of-speech views).

GLC v.1

≈ 450 written productions (~33,000 words) by adolescent learners, annotated with the UAM Corpus Tool. Its error scheme is the basis for GLC v.2.

Open the GLC v.1 tab for the annotation scheme, error browser, concordancer and POS views.

GLC v.2

≈ 422,000 tokens of written and spoken learner Greek (36 first languages, CEFR A1–C2), plus a comparable native-speaker control subcorpus, with a multi-layered grammatical error annotation.

Open the GLC v.2 tab for the annotation scheme, error browser, concordancer and POS views.

annoteca, the annotation companion of the GLC: the place where the corpus annotations are edited, compared across annotators and curated towards a gold standard. The Gateway shows the results; annoteca is where they are made.

Request access

For the full description of the corpus, its design and annotation, see the About GLC tab.

The Greek Learner Corpus was developed, until 2023, with the support of the Hellenic Foundation for Research and Innovation (H.F.R.I.) within the project Latent Aspects in L2 Acquisition (LAL2A); it is now maintained and extended independently, beyond that funded project.

About the Greek Learner Corpus

The Greek Learner Corpus (GLC) is the largest online, freely available learner corpus of Greek as a second / foreign language (L2/FL). It brings together two error-annotated subcorpora (GLC I and GLC II) of written and spoken learner productions, each accompanied by a rich set of metadata relevant to L2/FL teaching and acquisition. GLC II was compiled within the research project Latent Aspects in L2 Acquisition (LAL2A) during 2019-2022, funded by the Hellenic Foundation for Research and Innovation (H.F.R.I./EL.ID.EK., project no. 3161), at the Aristotle University of Thessaloniki.

GLC v.1 (the second tab on the left) is a collection of about 450 written productions (~33,000 words) by adolescent learners of Greek, compiled at the Aristotle University of Thessaloniki under the supervision of Alexandros Tantos and Despina Papadopoulou (Tantos & Papadopoulou, 2014). It draws on the language-proficiency assessment tests ‘Let’s speak Greek I, II, III’, taken in the Reception Classes of Greek schools between 2010 and 2014, and was annotated with the UAM Corpus Tool. Its error-annotation scheme formed the basis for GLC v.2. GLC v.1 is also accessible through the Greek node of CLARIN, CLARIN-EL.

GLC v.2 (GLC II, the third tab) is the larger and more recent corpus. In its open release, compiled during 2019-2022, it comprises 1,101 written texts (197,713 word tokens) and 318 spoken interviews (~156,005 tokens), about 422,360 tokens in total, produced by adult learners from 36 first-language backgrounds (most frequently Russian, Arabic, Spanish, Serbian and Turkish) and spanning the CEFR levels A1–C2. It is a cross-sectional corpus, offering a snapshot of learner performance at beginner, intermediate and advanced levels. Productions were contributed by a number of institutes in Greece and abroad: the School of Modern Greek Language of the Aristotle University of Thessaloniki, the Greek-language department for women immigrants and refugees at the Lyceum Club of Greek Women (Athens), the private language school Peek at Greek (Thessaloniki), the Sismanoglio Foundation in Istanbul, and the branches of the Hellenic Foundation for Culture in Belgrade, Odessa, Florence and Alexandria.

The written productions were elicited through a Google Form organised in three sections (project description and informed consent, learner profile, and task profile), across three genres (description, narration and argumentation), with an upper time limit of one hour. Besides the digital submissions, several hand-written texts were collected and digitised following a well-defined protocol that ensured a standardised encoding of features such as eroded letters, deletions, segmentation and paragraph indicators.

Teachers and philologists with students learning Greek as a second / foreign language who would like to contribute their own students' productions are welcome to get in touch with us.

The spoken subcorpus was collected through recorded online (Zoom) interviews of 6–9 minutes on the same topics; half of the recordings have already been transcribed following the conventions of Conversation Analysis, and the remainder will be added to the Gateway progressively.

GLC v.2 is also accompanied by a comparable control subcorpus of written productions by L1-monolingual Greek speakers (~66,645 tokens), matched to the learners for age, sex and educational background and based on the same topics. This alignment enables direct comparison between learners’ and native speakers’ productions.

The corpus carries a multi-layered, stand-off grammatical error annotation, organised hierarchically as Error Domain → Error Category → Error Cluster. Four morphosyntactic domains are covered: Agreement, Gender Assignment, Aspect and Voice. For instance, Agreement is analysed into Gender (masculine / feminine / neuter), Number (singular / plural) and Case (nominative / accusative / genitive / vocative). The annotation was carried out by six trained linguists working in pairs, reaching an inter-annotator agreement of around 90%, and is documented in an annotation manual that supports consistency and reuse across future expansions of the corpus.

This web application, the Greek Learner Corpus Gateway, is the single interface to both GLC I and GLC II. It provides descriptive statistics for each corpus, error-profile plots at corpus and text level, the error annotations and metadata in searchable tabular form, advanced search and download across any combination of linguistic and extralinguistic variables, and additional dashboards, learner-analytics, concordance and part-of-speech views.

Beyond dissemination, the GLC data and its annotations are hosted on the annoteca platform, a dedicated annotation platform, currently under development, that supports collaborative corpus annotation workflows: multi-annotator annotation, inter-annotator-agreement measurement, and curation towards a gold standard. There, in the near future, the GLC annotation will be able to be maintained, reviewed and extended in a reproducible, multi-user environment, while the corpus serves as the foundation for AI-assisted annotation of new L2-Greek data.

GLC v.2 follows a clear-cut design (see the figure below) that lets researchers quickly judge whether the corpus meets their interests.

Corpus Structure

Organization of the Greek Learner Corpus II

Data & Access
POS: AI-audited & expert-verified Errors: re-annotated in INCEpTION, curated in annoteca
Available here, in the Gateway
  • Every table on this site (errors, statistics, comparisons): downloadable as CSV / Excel via its Download button.
  • The GLC v.2 corpus texts as a ZIP archive (GLC v.2 tab).
  • Search (concordancer), part-of-speech and error browsing, with no account needed.
In annoteca (account required)
  • The full annotation layers and the complete relation graph, in an editable, multi-annotator environment.
  • Bulk exports (CoNLL-U / JSON / TSV) of the curated annotations.
  • Contributing: proposing corrections, annotating new texts, inter-annotator agreement and curation towards gold.

Request annoteca access

Data dictionary

Plain-language definitions of the indicators and the main data fields you meet in the tables and downloads.

Indicators (complexity, accuracy, lexis)

Shown in the Dashboard, the CEFR development view, the per-text Text Profile cards and Compare Groups. Values are computed per text; group figures are means, except the error rate, which is pooled over the group's texts. Sentences are segmented on sentence-final punctuation and newlines.

Errors / 1k tokens Annotated errors per 1,000 word tokens (punctuation excluded). A proxy for accuracy.
Lexical diversity (MTLD) Measure of Textual Lexical Diversity: how varied the vocabulary is, robust to text length (unlike a raw type/token ratio). Higher = more varied. Computed by scanning the token stream and counting how often the running type/token ratio falls to 0.72, averaged forward and backward.
Mean sentence length Average number of words per sentence. A fluency / complexity proxy.
Lexical density Share of content words (nouns, verbs, adjectives, adverbs) among all word tokens. Range 0–1; higher = more information-dense.
Subordination (SCONJ / sentence) Subordinating conjunctions (SCONJ, e.g. «ότι», «όταν», «επειδή») per sentence. A syntactic-complexity proxy.
Clauses per sentence Average number of clauses per sentence, counted from dependency relations (root + advcl + ccomp + xcomp + acl + csubj). Needs a dependency parse; left blank where one is not available.
Error-free sentences (%) Percentage of a text's sentences that carry no annotated error. An accuracy measure.
Error annotation fields

The error tables and the error browser (GLC v.1 and v.2).

Error type The broad grammatical category of the error (e.g. agreement, case, article, spelling). GLC v.1 uses the UAM CorpusTool scheme; GLC v.2 the Lionda-Miga morphosyntactic scheme.
Error subtype A finer label under the type (e.g. case: accusative). One GLC v.1 error span can carry several stacked subtypes, ordered broad→specific.
Target_Form The intended, grammatically correct form of the erroneous span (the correction). For GLC v.2 it is human-annotated; for GLC v.1 it is an LLM-proposed layer that is pending review.
Target_Lemma The dictionary (lemma) form of the corrected word.
Offset (v.2) / Start–End (v.1) The character position of the error span within the text. GLC v.2 Offset is 1-based; GLC v.1 Start/End are 0-based.
Relation / Relation_Type (v.2) Links the two members of an agreement error (e.g. a noun and the article that fails to agree with it) and its type/direction. Only partly represented in the Gateway's flat schema; full relational fidelity lives in annoteca.
Learner metadata

Per-text learner background, used for filtering and for group comparison.

Proficiency level (CEFR) The learner's Common European Framework level (A1 to C2).
L1 (first language) The learner's native language.
Genre / writing task The text type or writing task (e.g. narrative, description, argument). In GLC v.2 these are the Genre / Essay-choice fields.
Country of origin The learner's country of origin, as recorded in the metadata.
Sex / Gender The learner's sex/gender as recorded in the metadata (GLC v.2: Sex; GLC v.1: Gender).
Part-of-speech (POS) fields

The POS tables (POS tab) and the lexical measures. GLC v.1 POS is LLM-tagged and not yet audited; GLC v.2 POS had a high-confidence (Tier A) second-opinion audit applied.

Form The surface word form exactly as it appears in the text. It is never rewritten, even for errors (the intended form lives in Target_Form).
UPOS Universal part-of-speech tag (NOUN, VERB, ADJ, DET, ...). A blank UPOS on fused tokens like «στο/στην» marks a Universal Dependencies multiword token (σε + article), not a tagging error.
XPOS Language-specific (fine-grained) part-of-speech tag.
Lemma The dictionary base form of the word.
FEATS (features) Morphological features (Case, Gender, Number, Tense, Aspect, Voice, ...) in Universal Dependencies format.
Normalized (v.1) A corrected-lemma layer (what the learner meant) used for normalized lexical frequency. GLC v.1 only; it is filled when the POS review is applied.
How to cite

If you use the Greek Learner Corpus or this Gateway in your research, please cite:

  • GLC v.2 / Gateway: Tantos, A., Amvrazis, N., & Drakonaki, C. E. (2023). Greek Learner Corpus II (GLCII): Design and development of an online corpus for L2 Greek. Journal of Applied Linguistics, 36.
  • GLC v.1: Tantos, A., & Papadopoulou, D. (2014). Stand-off annotation in learner corpora: Compiling the Greek Learner Corpus (GLC). In A. Díaz-Negrillo & F. J. Díaz-Pérez (Eds.), Specialisation and variation in language corpora (pp. 15–41). Peter Lang. (Available through CLARIN-EL.)
  • Gateway (platform): Tantos, A., Amvrazis, N., Drakonaki, E., Papadopoulou, D., Develaska, C., Douka, G., Kikilintza, P., & Papafilippou, I. (2024). Empowering L2-Greek research and teaching: The role of GLCII’s design and web platform. In Proceedings of the 15th International Conference on Greek Linguistics (ICGL15) (Vol. 15.2, pp. 503–517). https://doi.org/10.18485/icgl.2024.15.2.ch301

1 This chapter describes an earlier version of this platform.

A version-stamped, DOI-backed citation for dataset releases is planned.

Partners & Funding

The Greek Learner Corpus was developed, until 2023, with the support of the Hellenic Foundation for Research and Innovation (H.F.R.I.) within the project Latent Aspects in L2 Acquisition (LAL2A); it is now maintained and extended independently, beyond that funded project.

Texts

Tokens

Types

Errors

Errors / 1k tokens

Click a bar in the chart to see that group's indicators.

Texts

Tokens

Types

Errors

Errors / 1k tokens

Click a bar in the chart to see that group's indicators.
Corpus:
Analyses are per text / per level (the corpora carry no learner id).
Error in context
Corpus:

How the selected indicator develops across CEFR levels (per-text means; error rate is token-normalised). Clauses/sentence needs a dependency parse and is available for GLC v.2 only.

Share (%) of each error type within every level.

Corpus:

Test: two-sided Wilcoxon rank-sum (Mann-Whitney) on per-text values; p Holm-adjusted across the indicators shown. Δ = second group minus first. Effect size = Cliff's δ. Significance: *** p<.001, ** p<.01, * p<.05, ns = not significant. Needs at least 3 texts per group; the count rows (texts, tokens) are not tested. Mind group sizes and multiple comparisons.

Error-type profile (share within each group)
Corpus:

Each cell counts the sentences in which two error types occur together (darker = more frequent co-occurrence); the diagonal is excluded. Click a cell to list those sentences below.

Selected case in context
Directed agreement relations (a governor word + the dependent that must agree with it), drawn over the sentence in an INCEpTION-style diagram: arrows point governor → dependent, bricks show the observed value and the target. Pick a dimension below, then select a case. (GLC v.2 only.)
This view contains all annotated relations of the corpus, shown read-only, one selected relation at a time. To edit / curate the whole relation graph (multi-annotator, IAA, gold) open it in annoteca (access on request, see About → Data & Access).
Annotated relation
What errors should you expect from your students? Pick a CEFR level and/or a first language (L1) and see the most frequent error categories with real examples from the corpus and the annotated correction, where available. The table at the end downloads as CSV/Excel for class use.
For teaching and lesson planning
Table for export (every error of the selection)
Examples per category
Error domains

The GLC v.1 grammatical error taxonomy, as defined in the UAM CorpusTool project. Categories keep their original Greek labels and are nested from the broadest error domains down to their finer subcategories; each carries a short gloss and, where the category occurs in the data, one real example drawn from GLC v.1.

  • ορθ Orthography: spelling errors e.g. «ανέβεναν»
    • ο-γραμ Spelling error with grammatical import (e.g. wrong inflectional ending) e.g. «τραβίξη»
    • ο-ορια_λεξ Word-boundary error (wrong splitting or joining of words) e.g. «παάραπολει»
    • κεφ Erroneous use of capital letters e.g. «ΜαΜΑ»
    • πεζ Erroneous use of lower-case letters e.g. «η»
    • κωδ Latin-script / code-switched spelling e.g. «κe»
    • ο-λεξ Lexical spelling error (no grammatical import) e.g. «ανέβεναν»
    • διαλυτ Diaeresis (διαλυτικά) error e.g. «φαϊ»
  • γραφ Graphematics: sound-to-letter (graphemic) errors e.g. «πολάκια»
    • γ-λεξ Lexical graphemic error e.g. «πολάκια»
    • γ-γραμ Grammatical graphemic error e.g. «κελαδιόσαν»
  • τον Accentuation: stress-mark (τόνος) errors e.g. «σκιλος»
    • τ-παρ Missing stress mark e.g. «σκιλος»
    • τ-προσ Redundant stress mark e.g. «ποιό»
    • τ-αντι Misplaced stress mark e.g. «μόρα»
  • συμφ Agreement errors e.g. «πίγα»
    • σ-αρι Number-agreement error e.g. «το»
      • α-αρθρο Number agreement: on the article
      • α-ουσιαστικό Number agreement: on the noun
      • α-επίθετο Number agreement: on the adjective
        • α-ονφραση Number agreement: attributive adjective (within the noun phrase)
        • α-κατηγ Number agreement: predicative adjective (κατηγορούμενο)
      • α-κλιτικό Number agreement: on the clitic
      • α-ρήμα Number agreement: on the verb
    • σ-γεν Gender-agreement error e.g. «τις»
      • γ-αρθρο Gender agreement: on the article
      • γ-ουσιαστικό Gender agreement: on the noun
      • γ-επίθετο Gender agreement: on the adjective
        • γ-ονφραση Gender agreement: attributive adjective (within the noun phrase)
        • γ-κατηγ Gender agreement: predicative adjective (κατηγορούμενο)
      • γ-κλιτικό Gender agreement: on the clitic
      • γ-ρήμα Gender agreement: on the verb
    • σ-προσ Person-agreement error e.g. «πίγα»
      • πρ-αρθρο Person agreement: on the article
      • πρ-ουσιαστικό Person agreement: on the noun
      • πρ-επίθετο Person agreement: on the adjective
        • πρ-ονφραση Person agreement: attributive adjective (within the noun phrase)
        • πρ-κατηγ Person agreement: predicative adjective (κατηγορούμενο)
      • πρ-κλιτικό Person agreement: on the clitic
      • πρ-ρήμα Person agreement: on the verb
    • σ-πτω Case-agreement error e.g. «της γάτα»
      • πτ-αρθρο Case agreement: on the article
      • πτ-ουσιαστικό Case agreement: on the noun
      • πτ-επίθετο Case agreement: on the adjective
        • πτ-ονφραση Case agreement: attributive adjective (within the noun phrase)
        • πτ-κατηγ Case agreement: predicative adjective (κατηγορούμενο)
      • πτ-κλιτικό Case agreement: on the clitic
      • πτ-ρήμα Case agreement: on the verb
  • οψη Grammatical aspect (όψη) errors e.g. «προσπαθούσε»
    • συν Erroneous perfective (συνοπτικό) aspect e.g. «σκαρφάλοσε»
    • μσυν Erroneous imperfective (μη-συνοπτικό) aspect e.g. «προσπαθούσε»
    • τελ-συν Perfect used for perfective aspect e.g. «ειχαι βρι»
    • συν-τελ Perfective used for perfect aspect e.g. «πηγε»
  • χρ Tense errors e.g. «σκαρφαλοσε»
    • πρλθ Erroneous past tense e.g. «σκαρφαλοσε»
    • μπρλθ Erroneous non-past tense e.g. «φευγη»
  • λεξη_φράση Word- or phrase-level lexical errors e.g. «προς το κάτω»
    • λ_φ-παρ Omission of a word or phrase e.g. «.»
    • λ_φ-προσ Redundant word or phrase e.g. «και στιλε»
    • λ_φ-αντι Wrong word or phrase choice e.g. «προς το κάτω»
  • στιξ Punctuation errors e.g. «.»
    • στ-παρ Missing punctuation mark e.g. «α»
    • στ-προσ Redundant punctuation mark e.g. «.»
    • στ-αντι Wrong punctuation mark e.g. «,»
  • κειμ Textual / discourse-level errors e.g. «και»
    • υποκ Subject-realisation error e.g. «η γάτα»
      • υποκ-παρ Omitted subject e.g. «τ»
      • υποκ-προσ Redundant subject e.g. «η γάτα»
      • υποκ-αντικ Subject realised as object (wrong grammatical relation)
    • συνδ Connective (cohesion) error e.g. «και»
      • παρ Coordination (parataxis) error e.g. «ετσι»
        • παρ-παρ Omitted coordinating connective e.g. «.»
        • παρ-προσ Redundant coordinating connective e.g. «και»
        • παρ-αντι Wrong coordinating connective e.g. «μετά»
      • υποτ Subordination (hypotaxis) error e.g. «,»
        • επιρρ Adverbial-clause connective error e.g. «όταν»
          • επ-παρ Omitted adverbial connective e.g. «α»
          • επ-προσ Redundant adverbial connective e.g. «όταν»
          • επ-αντι Wrong adverbial connective e.g. «γιατί»
        • συμπλ Complement-clause connective error e.g. «,»
          • συμπλ-παρ Omitted complement connective e.g. «,»
          • συμπλ-προσ Redundant complement connective e.g. «που»
          • συμπλ-αντι Wrong complement connective e.g. «ότι»
    • αναφορά_κλιτικό Clitic-reference (anaphora) error e.g. «την γάτα»
      • αντ_κλ Resumptive-clitic error (clitic doubling) e.g. «τους»
      • αντ_οφ Missing obligatory resumptive clitic e.g. «την γάτα»
  • σορ Word-order errors
  • ν Final / movable -ν errors
  • προβλ Problematic or unclassifiable cases
  • γεν Gender-assignment errors
  • συλλαβ Syllabification (word-division) errors
  • αρθ Article errors e.g. «ενα»
    • ορι Definite-article error e.g. «ο»
      • ο-παρ Omitted definite article e.g. «ο»
      • ο-προσ Redundant definite article e.g. «ι»
      • ο-αντι Wrong definite article e.g. «η»
    • αορ Indefinite-article error e.g. «ενα»
      • α-παρ Omitted indefinite article e.g. «Π»
      • α-προσ Redundant indefinite article
      • α-αντι Wrong indefinite article e.g. «ενα»
  • προθ Preposition errors e.g. «με»
    • π-παρ Omitted preposition e.g. «τα»
    • π-προσ Redundant preposition e.g. «με»
    • π-αντι Wrong preposition e.g. «με»
  • φωνη Voice (active/passive) errors e.g. «τρομαστικε»
    • ενεργ Erroneous use of active voice e.g. «κατεβει»
    • παθ Erroneous use of passive voice e.g. «τρομαστικε»
  • κλιτ Clitic errors e.g. «του»
    • κλ-παρ Omitted clitic e.g. «α»
    • κλ-προσ Redundant clitic e.g. «του»
  • πτω Case-government (πτώση) errors e.g. «την»
    • πτω-υποκ Case error on the subject e.g. «σκυλο»
    • πτω-αντ Case error on the object e.g. «καλλος δασκαλος»
    • πτω-προθ_φραση Case error in a prepositional phrase e.g. «του»
    • πτω-προσδ_γενική Case error in an adnominal genitive e.g. «την»
    • πτω-αιτ_χρόνου Case error in a temporal accusative e.g. «ηστγειμη»
    • πτω-κλητική_προσφώνηση Case error in a vocative address e.g. «Γιώργος»
  • συμπλήρωμα Complement errors e.g. «.»
    • συμπληρ-παρ Omitted complement e.g. «.»
    • συμπληρ-προσ Redundant complement
    • συμπληρ-αντι Wrong complement
Selected row in context

Context

AGREEMENT

Error type

Information

Examples

gender-a

unidentified gender assignment

η λεκσι ικογενια από μόνο του

gen-masc

erroneous use of masculine gender

στον ακτή

gen-fem

erroneous use of feminine gender

είχα να δω τις γονείς μου

gen-neut

erroneous use of neuter gender

η γεύση του καπνού είναι δυσάρεστο

case

unidentified case

στη σκιά του σμαραγδένιο πράσινο

case-nom

erroneous use of nominative case

τον χειμώνας

case-gen

erroneous use of genitive case

η πρώτη στιγμής μιας μέρας

case-acc

erroneous use of accusative case

εμένα περίμεναν οι καλύτερους ανθρώπους

case-voc

erroneous use of vocative case

 

num-sing

erroneous use of singular number

στην άλλη μέρες

num-pl

erroneous use of plural number

εσείς ξέρεις ότι θέλουμε…

pers-first

erroneous use of first person

υπάρχω μία φίλη μου

pers-second

erroneous use of second person

ο James ξυπνάι μόνος σου

pers-third

erroneous use of third person

το σπίτι μου που μόλις αγόρασε είναι ωραίο

relation

ambiguous case: error in gender assignment or in gender & number agreement

η γάλα, τα μυρωδιά, τα τεραπή

 

VOICE

Error type

Information

Examples

active

erroneous use of active voice

Είναι δύσκολο να ενσωματώσουν σε μια ξένη κοινωνία

passive

erroneous use of passive voice

Ετοιμαστήκαμε τις τσάντες μας από την προηγούμενη μέρα

Verb_type/dep

erroneous use of deponent verb

 

Verb_type/Unac

erroneous use of unaccusative verb

o σύζυγος της Τζοάνας διασκεδαζόταν

Verb_type Unerg

erroneous use of unergative verb

 

 

 

GENDER

Error type

Information

Examples

gender-g

unidentified use of gender

χαρούμενες πάρτες

έχει 2 υπνοδωμάτιες

syncretism

 

χαρούμενες πάρτες

έχει 2 υπνοδωμάτιες

masc

erroneous gender assignment (masculine)

Ο δρόμος μας εκεί ήταν σαν όνειρος

fem

erroneous gender assignment (feminine)

της κοινόχρηστας

μεγάλη τραπέζη

neut

erroneous gender assignment (neuter)

Τα γκέι δεν μπορούν όμως να έχουν…

μου αρεσιε… το κοσμ

 

CASE

Error type

Information

Examples

ccase

unidentified case

 

nom

erroneous use of nominative case

να μάθω η Ελλεινική γλόσσα

genitive

erroneous use of genitive case

Ήταν πολύ συγκινητικό να της δούμε έτσι ντυμένη

από θρησκευτικού σκοταδισμού

acc

erroneous use of accusative case

Ήτανε μείον δεκαπέντε βαθμούς

voc

erroneous use of vocative case

 

 

ASPECT

Error type

Information

Examples

form

Use of non-target form

κάθεμέρα μείνουσαμε στην παραλία την ολόκληρη μέρα

αν συγκρίσουμε τα πρωτοσέλιδα επιτέλους τα είχε καταφέρνει.

imperf

Erroneous use of imperfective aspect

πρέπει να αγοράζουμε κατι για το σπίτι

pperf

Erroneous use of perfective aspect

ήτανε πολύ δύσκολα να ξεκινήσω να μάθω την γλώσσα.

perf

Erroneous use of perfect aspect

Ο κινέζικος κινηματογράφος έχει αναπτυχθεί όλο και πιο γρήγορα από το 2013

 

Selected row in context

Context