Recently work on the grammar of spoken English has advanced through the use of large, general, and varied corpora of the language, including corpora of spoken discourse. Here I review the research that has been emerging from the availability of such corpora, much of it emphasizing the need for new ways of conceptualizing spoken grammar, to replace the traditional reliance on grammatical models ...

When humans speak they often use grammatically incorrect sentences, which is a problem for grammar-based language processing methods, since they expect input that is valid for the grammar. We present two methods to transform spoken language into grammatically correct sentences. The first is an algorithm for automatic ellipsis detection, which finds ellipses in spoken sentences and searches in a...

Evaluating spoken grammar skills is an important component of evaluating the overall spoken English skills of a candidate. This paper presents a novel approach that incorporates the knowledge of acoustic-phonetics to improve the performance of an existing spoken grammar evaluation technique in a questionanswer paradigm. A novel acoustic parameter, Onset Coherence, to make a one-pass distinction...

Review of: Felicity Meakins and Patrick McConvell. 2021. A grammar of Gurindji as spoken by Violet Wadrill, Ronnie Wavehill, Dandy Danbayarri, Biddy Topsy Dodd Ngarnjal, Long Johnny Kijngayarri, Banjo Ryan, Pincher Nyurrmiari Blanche Bulngari (Mouton Grammar Library 91) Berlin–Boston: De Gruyter Mouton, pp. xxxii + 746

In this paper we present the Semantic Tree Unification Grammar (STUG) which is a new formalism for parsing spoken language. The main motivation of this formalism is the combination of the robustness and simplicity of the classical semantic grammar to the deepness of the traditional syntactic formalisms. The key properties of STUG are: the direct linearization of the semantic structure, an econo...

This paper reports on an implementation of a multimodal grammar of speech and co-speech gesture within the LKB/PET grammar engineering environment. The implementation extends the English Resource Grammar (ERG, Flickinger (2000)) with HPSG types and rules that capture the form of the linguistic signal, the form of the gestural signal and their relative timing to constrain the meaning of the mult...

We address the issue of out-of-grammar (OOG) utterances in spoken dialogue systems by generating help messages. Help message generation for OOG utterances is a challenge because language understanding based on automatic speech recognition (ASR) of OOG utterances is usually erroneous; important words are often misrecognized or missing from such utterances. Our grammar verification method uses a ...

We argue that grammatical analysis is a viable alternative to concept spotting for processing spoken input in a practical spoken dialogue system. We discuss the structure of the grammar, and a model for robust parsing which combines linguistic sources of information and statistical sources of information. We discuss test results suggesting that grammatical processing allows fast and accurate pr...

We argue that grammatical analysis is a viable alternative to concept spotting for processing spoken input in a practical spoken dialogue system. We discuss the structure of the grammar, and a model for robust parsing which combines linguistic sources of information and statistical sources of information. We discuss test results suggesting that grammatical processing allows fast and accurate pr...