A multilingual corpus study of the competition between past and perfect in narrative discourse
Bibliographic Data
| ID | 10141546 |
|---|---|
| Authors | Marjolijn Van Der Klis (0000-0003-0008-9028, Utrecht University, corresponding author), Bert Le Bruyn (0000-0001-9090-7383, Utrecht University), Henriette De Swart (Utrecht University) |
| Year | 2021 |
| Volume | 58 |
| Issue | 2 |
| Pages | 423-457 |
| Publication date | 2021-10-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 0022-2267 • E-ISSN: 1469-7742 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0022226721000244 |
| OpenAlex | W3205902612 |
| Language | EN |
| Citations received | 11 |
| References cited | 34 |
The western European present perfect is subject to substantial crosslinguistic variation. The literature, however, focuses on individual languages or on comparisons of a restricted number of languages. We piece together the puzzle and do so in a data-driven way by comparing the use of the present perfect through a parallel corpus based on the French novel L’Étranger and its translations in Italian, German, Dutch, European Spanish, British English, and Modern Greek. We introduce and showcase Translation Mining, a software suite combining a parallel corpus database with annotation and analysis tools. Translation Mining allows us to generate descriptive statistics of tense use across languages but also to visualize variation through its multidimensional scaling component and to link the variation we find to the underlying data through its integrated setup. We confirm that the present perfect competes with the past and we reveal the fine-grained scalar nature of the variation. To complete the puzzle, we ascertain the dimensions of variation, ranging from lexical and compositional semantics to dynamic semantics and pragmatics. 1
Annotation · German · Linguistics · Narrative · Natural language processing · Pragmatics · Programming language · Semantics (computer science · Variation (astronomy · Artificial Intelligence · Computer Science · linguistics and terminology studies · Natural Language Processing Techniques · Syntax, Semantics, Linguistic Variation
Elements of Promotional Discourse in English-Language Academic Abstracts
The simple past versus perfect in English
Unbounded repetition, habituality, and aspect from a comparative perspective
The translation teaching platform based on multilingual corpora of Xi Jinping
Decoding French equivalents of the English present perfect
BE-perfects and grammaticalization in Bulgarian and Lithuanian
Aspect processing across languages
The present perfect and definite past time adverbials
Differential coding of the occurrence of negative eventualities and the nonoccurrence of eventualities in Japanese
Re-investigating the classification of definite CL-NP constructions in Chinese dialect
Decomposing Perfect Readings
Tense and Narrativity
Time and the Verb
Some Structural Analogies between Tenses and Pronouns in English
Temporal interpretation, discourse relations and commonsense entailment
Nominal and temporal anaphora
Nominal Reference, Temporal Constitution and Quantification in Event Semantics
The (Temporal) Semantics and (Modal) Pragmatics of the Perfect
Temporal anaphora in discourses of english
Tense and Aspect in the Languages of Europe
A Typology and Discourse Semantics for Motion Verbs and Spatial PPs in French
The Perfect in dialogue
Notes on the english present perfect
Temporal adverbials and the present perfect/past tense alternation
Aspect Shift and Coercion
The ambiguity of the English present perfect
About determiners on event descriptions, about time being like space (when we talk), and about one particularly strange construction
Lexical typology through similarity semantics
"Vivid narrative use" and the meaning of the present perfect in spoken Australian English
Focus
A cross-linguistic discourse analysis of the Perfect
What is a perfect state
The Present Perfect Puzzle
| Unique citing works | 11 |
|---|---|
| Citations per year | 2,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |