The authors report 6 self-paced word-by-word reading studies of how morphosyntactic agreement, focus status, and the structural constraints of binding theory apply and interact during the online interpretation of pronouns (e.g., him, her) and anaphors (e.g., himself, each other). Previous studies held that structural conditions on coreference work as interpretive filters that impose exceptionle...

We describe a deep generative model in which the lowest layer represents the word-count vector of a document and the top layer represents a learned binary code for that document. The top two layers of the generative model form an undirected associative memory and the remaining layers form a belief net with directed, top-down connections. We present efficient learning and inference procedures fo...

In this paper, we incorporate the Hierarchical Mixtures of Experts (HME) method of probability estimation, developed by Jordan [1], into an HMMbased continuous speech recognition system. The resulting system can be thought of as a continuous-density HMM system, but instead of using gaussian mixtures, the HME system employs a large set of hierarchically organized but relatively small neural netw...

Arabic has a large number of affixes that can modify a stem to form words. In automatic speech recognition (ASR) this leads to a high out-of-vocabulary (OOV) rate for typical lexicon size, and hence a potential increase in WER. This is even more pronounced for dialects of Arabic where additional affixes are often introduced and the available data is typically sparse. To address this problem we ...

Opsomming Die geskiedenis van manlikheid is 'n relatief nuwe genre waarin Suid-Afrikaanse academic; begin beweeg. Geslagsidentiteit en identiteitsvorming het vanaf die 1980s w6reldwyd meer aandag begin geniet. ldentiteite word as belangrike faktore gesien in die vorming en instandhouding van gemeenskappe en kan die verloop van die geskiedenis net so veel as klas, ras, ouderdom, ens., bemvloed. ...

Document classification is a well-known task in information retrieval domain and relies upon various indexing schemes to map documents into a form that can be consumed by a classification system. Term Frequency-Inverse Document Frequency (TF-IDF) is one such class of term-weighing functions used extensively for document representation. One of the major drawbacks of this scheme is that it ignore...

In this paper, we consider the problem of robust digit recognition in real car environments. We choose to utilize newlycollected CU-Move database [2]. We address the problem using two integrated approaches . First, we consider array processing, enhancement and noise adaptation techniques as an integrated solution. This approach reduced the word error rate (WER) 38.6% and increased word accuracy...