Modality’s semantic map

Auwera, Johan van der; Плунгян, В.А.

doi:10.1515/lity.1998.2.1.79

Cited by 563 publications

(199 citation statements)

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“…al. (1985) between intrinsic modality and extrinsic modality; and Van der Auwera & Plungian (1998) between epistemic modality and non-epistemic modality. Table 1 shows these classifications of modality as summarized by Depraetere & Reed (2006: 280).…”

Section: Modality and Modal Auxiliaries In Englishmentioning

confidence: 99%

Hedging Through the Use of Modal Auxiliaries in English Academic Discourse

Hardjanto

2016

Jur, Hum

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As a communicative strategy, hedging plays a central role in academic writing. Numerous different linguistic forms can be used to express this strategy. This article attempts to investigate modal auxiliary verbs as the principal means of expressing hedging in English academic discourse. For this purpose, a corpus of 75 primary empirical research articles from economics, linguistics, medicine, natural sciences and engineering was analyzed quantitatively with the help of corpus linguistic method. The results revealed that modal auxiliaries were used most frequently in linguistics and economics and least frequently in engineering and natural sciences while their use in medicine came in between. This seems to suggest that there is noticeable disciplinary variation in the degree of hedging through the use of modal auxiliaries in English research articles. Modal auxiliaries tend to be more common in soft sciences than in hard sciences whereas their use in health sciences in comparison with soft and hard sciences does not seem to show any significant difference.

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Section: Modality and Modal Auxiliaries In Englishmentioning

confidence: 99%

Hedging Through the Use of Modal Auxiliaries in English Academic Discourse

Hardjanto

2016

Jur, Hum

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“…Evidentiality is subsumed under a wider category of EM (Palmer 1986, Boye 2006, Egan, Weatherson 2011, Auwera, Plungian 1998. The speaker has greater doubts about the information if she has received it indirectly (e.g.…”

Section: Introductionmentioning

confidence: 99%

Acquisition of epistemic marking in Estonian and Russian

Kazakovskaya

Argus

2016

ERYa

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Abstract. The article compares the acquisition of epistemic modality in typologically different languages, Estonian and Russian. The longitudinal data of 4 children was used to analyse the first emergence and the further development of lexical markers expressing certainty and uncertainty. Developmental analysis of micro fields of epistemic modality has shown that in both languages the semantics of uncertainty starts to be acquired slightly earlier than certainty. The main tendencies in the usage of epistemic markers in utterances are similar in our corpora. Since the acquisition of epistemic modality is similar in the two languages, it would be reasonable to assume that some categories, like epistemic modality, rely more on general cognitive development than others.*

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“…Evidential modality (i.e., belief supported by evidence) is not considered an independent value and is rather annotated as epistemic belief. Deontic modality is divided into obligation and permission and includes values that are described as participant-external modality in van der Auwera and Plungian [1] (obligation and possibility that are not dependent on the participants but rather on external conditions that make something required or possible). However, the scheme does include what these authors describe as Participant-internal modality and its two subvalues: necessity and capacity (an internal capacity or an internal necessity of the participant, usually the subject).…”

Section: Data Setmentioning

confidence: 99%

Tagging and Labelling Portuguese Modal Verbs

Quaresma

Mendes

Hendrickx

et al. 2014

Lecture Notes in Computer Science

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Abstract. We present in this paper an experiment in automatically tagging a set of Portuguese modal verbs with modal information. Modality is the expression of the speaker's (or the subject's) attitude towards the content of the sentences and may be marked with lexical clues such as verbs, adverbs, adjectives, but also by mood and tense. Here we focus exclusively on 9 verbal clues that are frequent in Portuguese and that may have more than one modal meaning. We use as our gold data set a corpus of 160.000 tokens manually annotated, according to a modality annotation scheme for Portuguese. We apply a machine learning approach to predict the modal meaning of a verb in context. This modality tagger takes into consideration all the features available from the parsed data (pos, syntactic and semantic). The results show that the tagger improved the baseline for all verbs, and reached macro-average F-measures between 35 and 81% depending on the modal verb and on the modal value.

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Modality’s semantic map

Cited by 563 publications

References 0 publications

Hedging Through the Use of Modal Auxiliaries in English Academic Discourse

Hedging Through the Use of Modal Auxiliaries in English Academic Discourse

Acquisition of epistemic marking in Estonian and Russian

Tagging and Labelling Portuguese Modal Verbs

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