The paper shows how sentences containing scope ambiguities can be assigned syntactic and semantic structures by means of sloppy deterministic processing techniques only. The semantic framework is Discourse Representation Theory, and the sloppy deterministic parser is described in Nordgård (1993). Of primary concern for the article is the transition from syntactic structures to discourse represe...

Syntactic parsing is a key component of natural language understanding and, traditionally, has a symbolic output. Recently, a new approach for predicting syntactic structures from sentences has emerged: directly producing small and expressive vectors that embed in syntactic structures. In this approach, parsing produces distributed representations. In this paper, we advance the frontier of thes...

Objectives: Auditory perception or hearing ability is critical for children in acquisition of language and speech hence hearing loss has different effects on individuals’ linguistic perception, and also on their functions. It seems that deaf people suffer from language and speech impairments such as in perception of complex linguistic constructions. This research was aimed to study the pe...

Speakers tend to repeat syntactic structures across sentences, a phenomenon called syntactic priming. Although it has been suggested that repeating syntactic structures should result in speeded responses, previous research has focused on effects in response tendencies. We investigated syntactic priming effects simultaneously in response tendencies and response latencies for active and passive t...

In this paper, we describe an approach based on off-the-shelf parsers and semantic resources for the Recognizing Textual Entailment (RTE) challenge that can be generally applied to any domain. Syntax is exploited by means of tree kernels whereas lexical semantics is derived from heterogeneous resources, e.g. WordNet or distributional semantics through Wikipedia. The joint syntactic/semantic mod...

We consider two different data sets of syntactic parameters and we discuss how to detect relations between parameters through a heat kernel method developed by Belkin–Niyogi, which produces low dimensional representations of the data, based on Laplace eigenfunctions, that preserve neighborhood information. We analyze the different connectivity and clustering structures that arise in the two dat...

We present a new approach to motion rearrangement that preserves the syntactic structures of an input motion automatically by learning a context-free grammar from the motion data. For grammatical analysis, we reduce an input motion into a string of terminal symbols by segmenting the motion into a series of subsequences, and then associating a group of similar subsequences with the same symbol. ...

The demonstration will consist in displaying the syntactic structure of sentences from novels, scientific texts, newspapers, ... The syntactic structures are computed by our syntactic parser and the output shows in a human-friendly graphic interface (1) word features (as computed by POS tagger) (2) nonrecursive phrases (as computed by shallow parser) and (3) their relations (the functional stru...

Syntactic structures have been good features for opinion analysis, but it is not easy to use them. To find these features by supervised learning methods, correct syntactic labels are indispensible. Two possible sources to acquire syntactic structures are parsing trees and dependency trees. For the annotation processing, parsing trees are more readable for annotators, while dependency trees are ...

Does syntactic information affect the production of bare nouns? Research into this issue has explored word-specific features (e.g., gender). However, word-independent syntactic distributions may also play a role. For example, studies of word recognition have uncovered strong effects of the diversity of a word's syntactic distribution – its syntactic flexibility – on response times in the lexica...