It is the view of many but not all pragmatists that the primary bearers of truth-conditional contents are utterances, not sentences; or, even better, that truth-conditional contents or propositions are expressed by the speakers who utter sentences, not by the sentences themselves.
(The conditional is a condition.
的话 dehua 'if' is a marker of conditional subordinate clauses and should be different from utterance particles.
Given this, and given (what seems obvious) that ordinary people don't have positive intentions for their mathematical utterances to be interpreted nonliterally e.g., as expressing conditional propositions it seems to follow that we ought to interpret our mathematical utterances at face value.
Toward that end, he argues for a particular account of utterance meaning as based on "acceptability conditions," by analogy to the truth-conditional account of the meaning of sentences.
A novel user intention modeling and generating method is proposed that uses a linear-chain conditional random field, and a two-phase data-driven domain-specific user utterance simulation method and a linguistic knowledge-based ASR channel simulation method are also presented.
There was, however, a further, more troubling, point about the role of moral terms in arguments: moral terms can be used in arguments in which the moral term appears in a conditional, and so is not there contributing to the expressive force of the utterance, so not expressing any emotion of the speaker.
In truth-conditional pragmatics (Recanati's 2002, 2003, 2004, 2007), the meaning of an utterance consists of the output of syntactic processing combined with the output of pragmatic processing.
Let n ij be the accumulated count that DR R i occurs in the utterance cluster of A j. From n ij, a probability function of DA conditional on DR is defined as follows γ i j = P ^ ( DA = A j | DR = R i ) ≜ n i j ∑ j ′ = 1 q n i j ′, i = 1, …, l, j = 1, …, q. (15).
In 26 得 Open image in new window dakgaa ([tɐk55 ka35]) contributes some conditional meaning and can be decomposed into a predicative core 得 dak 'possible, able' and an another utterance particle Open image in new window gaa that is likely to be formed by merging 嘅 ge ([kɛ33]) and 啊 aa ([a35]).
In the second (testing) stage, the classifier decides whether the new input utterance, denoted by, belongs or not to the claimed registered speaker, represented by model, by comparing the conditional probabilities versus, where corresponds to the background model, [5].
