Marathi is an Indo-Aryan Language and forms the official language of state of Maharashtra. It is ranked as the 4 most spoken language in India and 15 most spoken language in the world. When Computational Linguistic is concerned, writing grammar production for a language is a bit difficult because of different gender and number forms. This paper is an effort to write context free grammar for Mar...

We present experimental evidence that providing naive users of a spoken dialogue system with immediate help messages related to their out-of-coverage utterances improves their success in using the system. A grammar-based recognizer and a Statistical Language Model (SLM) recognizer are run simultaneously. If the grammar-based recognizer suceeds, the less accurate SLM recognizer hypothesis is not...

In this paper we present the SemEval2014 Task 2 on spoken dialogue grammar induction. The task is to classify a lexical fragment to the appropriate semantic category (grammar rule) in order to construct a grammar for spoken dialogue systems. We describe four subtasks covering two languages, English and Greek, and three speech application domains, travel reservation, tourism and finance. The cla...

This paper describes how a task specific grammar can be implemented using a dedicated “NLP” Augmented Phrase Structure (APS) grammar formalism. The APS is used for generation of appropriate semantic frames to be passed on to the dialogue manager of a spoken dialogue system. In a derived form, conforming to the HTK Standard Lattice format, the same APS may be used for constraining the approved s...

A new method for automatically acquiring grammar fragments for understanding uently spoken language is proposed. The goal of this method is to generate a collection of grammar fragments each representing a set of syntactically and semantically similar phrases. First phrases observed frequently in the training set are selected as candidates. Each candidate phrase has three associated probability...

Various challenges have emerged over several years of grammar engineering for the spoken dialogue interface to the Navy damage control simulator DC-Train and the Spoken Conversational Tutor SCoT-DC, which reviews DC-Train performance. The systems use two methods for finding interpretations for student utterances from the recognized string. First, a Gemini grammar interprets full strings into a ...

This paper describes a number of freely available tools for implementing and running spoken language understanding systems. Unlike other free tools (e.g. the CSLU toolkit), the main emphasis is on spoken language understanding (syntactic/semantic parsing, generation of language models for recognition etc.). The suite supports (reads and/or writes) a number of grammar formats defined for speech ...

We present a trainable, visually-grounded, spoken language understanding system. The system acquires a grammar and vocabulary from a “show-and-tell” procedure in which visual scenes are paired with verbal descriptions. The system is embodied in a table-top mounted active vision platform. During training, a set of objects is placed in front of the vision system. Using a laser pointer, the system...

The aim of much linguistic research is to determine the grammar and the lexicon of a certain language L. The spoken variant of L – in so far as it is considered at all – is generally taken to be just another projection of the same grammar and lexicon. We suspect that this assumption may be wrong. Our suspicion derives from our contrastive analyses of four corpora, two Swedish and two Danish (co...

This paper describes a grammar learning system that combines model-based and data-driven learning within a single framework. Our results from learning grammars using the Spoken English Corpus (SEC) suggest that combined model-based and data-driven learning can produce a more plausible grammar than is the case when using either learning style in isolation.