We are interested in on-line acquisition of acoustic, lexical and semantic units from spontaneous speech. Traditional ASR techniques require the domain-speci c knowledge of acoustic, lexicon data and more importantly the word probability distributions. In this paper we propose an algorithm for unsupervised learning of acoustic and lexical units from out-of-domain speech data. The new lexical un...

The semantic annotation of corpora has an important role to play in ensuring that sentences occurring in natural language texts are correctly understood based on their intended context. Two examples of lexical semantic units that contribute to this knowledge are word senses – which allow words with multiple meanings to be understood based on the context in which they are used – and named entiti...

This study aims to investigate the treatment of semantic features at word and phraseology levels in Arabic/English translation. It demonstrates by using enough textual data that translation involves significant decision-making lexis when considering features. The corpus includes mismatches both multi-word units. translator's awareness symmetries asymmetries language pair constitutes a foundatio...

It is generally assumed that during reading, the activation produced over orthographic units feeds forward to phonological units. Supporting interactive models of word recognition, Stone, Vanhoy, and Van Orden (1997) recently claimed that phonological activation reverberates to orthographic processing units and consequently constrains orthographic encoding. They found that the consistency of th...

Automatic extraction of bilingual Multi-Word Units is an important subject of research in the automatic bilingual corpus alignment field. There are many cases of single source words corresponding to target multi-word units. This paper presents an algorithm for the automatic alignment of single source words and target multi-word units from a sentence-aligned parallel spoken language corpus. On t...

This paper investigates a special type of recurrent expressions, lexical bundles, defined as a sequence of three or more words that co-occur frequently in a particular register (Biber et al., 1999). Considering the importance of this group of multi-word sequences in academic prose, this study explores the forms and syntactic structures of three- and four-word bundles in English abstracts writte...

Lexical unit is a word or collocation. Extracting lexical knowledge is an essential and difficult task in NLP. The methods of extracting of lexical units are discussed. We present a method for the identification of lexical boundaries. The problem of necessity of large corpora for training is discussed. The advantage of identification of lexical boundaries within a text over traditional window m...

One of the key challenges involved in building statistical automatic speech recognition (ASR) systems is modeling the relationship between subword units or “lexical units” and acoustic feature observations. To model this relationship two types of resources are needed, namely, acoustic resources i.e., speech data with word level transcriptions and lexical resources where each word is transcribed...

Word recognition is the Petri dish of the cognitive sciences. The processes hypothesized to govern naming, identifying and evaluating words have shaped this field since its origin in the 1970s. Techniques to measure lexical processing are not just the backbone of the typical experimental psychology laboratory, but are now routinely used by cognitive neuroscientists to study brain processing and...