This article provides description about the grammar checking system developed for detecting various grammatical errors in Punjabi texts. This system utilizes a fullform lexicon for morphological analysis, and applies rule-based approaches for part-of-speech tagging and phrase chunking. The system follows a novel approach of performing agreement checks at phrase and clause levels using the gramm...

Spoken language understanding is a challenge for the development of Spoken Dialogue Systems. Recognition errors and speech repairs make it impossible to get complete syntactic analysis. Shallow parsing and chunking seem to be efficient in order to start both a robust and precise analysis. This paper describes experiments made with Logus, a spoken understanding system based on incremental methol...

Many language processing tasks can be reduced to breaking the text into segments with prescribed properties. Such tasks include sentence splitting, tokenization, named-entity extraction, and chunking. We present a new model of text segmentation based on ideas from multilabel classification. Using this model, we can naturally represent segmentation problems involving overlapping and non-contiguo...

In this paper we examine the influence of dimensionality on natural language route directions in dialogue. Specifically, we show that giving route instructions in a quasi-3d environment leads to experiential descriptive accounts, as manifested by a higher proportion of location descriptions, lack of chunking, use of 1st person singular personal pronouns, and more frequent use of temporal and sp...

This paper presents a web-based application for tablets ‘ChunkitApp’ developed to investigate chunking in online speech processing. The design of the app is based on recent theoretical developments in linguistics and cognitive science, and in particular on the suggestions of Linear Unit Grammar [1]. The data collected using the app provides evidence for the reality of online chunking in languag...

Hierarchical or nested annotation of linguistic data often co-exists with simpler non-hierarchical or flat counterparts, a classic example being that of annotations used for parsing and chunking. In this work, we propose a general strategy for comparing across these two schemes of annotation using the concept of entailment that formalizes a correspondence between them. We use crowdsourcing to o...

In this paper, we proposed a Vietnamese named entity question answering (QA) model. This model applies an analytical question method using CRF machine learning algorithm combined with two automatic answering strategies: indexed sentences database-based and Google search engine-based. We gathered a Vietnamese question dataset containing about 2000 popular “Who, Whom, Whose” questions to evaluate...