The article discusses a linguistic analysis of one the main fragments meteorological vocabulary modern Russian language – names atmospheric precipitation. material for study was units lexical-semantic group "precipitation", previously identified in Hydrometeorological Encyclopedia (2009). Three groups nouns were distinguished: common word precipitation itself and its synonym hydrometeors, liqui...

Multi-word expressions evade a closed definition. Linguists and computational linguists rely on intuition or build lists of MWE types; while practical, that is scientifically and aesthetically unsatisfying. Without presuming to solve a daunting theoretical problem, we propose a decision procedure which steers a lexicographer toward acceptance or rejection of an N-gram as a lexical unit: a decis...

In order to assess the role of visual, lexical, and contextual information on word identification during Korean sentence reading, a self-paced reading experiment was conducted. It was found, in regard to word length variables, that the number of syllables and the number of visual features affected reading times significantly, but the other sub-lexical units (i.e., phonemes and letters) did not....

76 Introduction The examination of the nature of the underlying mechanisms that associate a printed word with its correct lexical unit (i.e., the process of lexical access) is one of the most basic issues in the research on reading. There are several reasons for this relevance. First, lexical access is a central component of sentence reading (Besner & Humphreys, 1991). Second, many reading diso...

Despite the proliferation of speech-enabled applications and devices, speech-driven human-machine interaction still faces several challenges. One of theses issues is the new word or the out-of-vocabulary (OOV) problem, which occurs when the underlying automatic speech recognizer (ASR) encounters a word it does not ”know”. With ASR being deployed in constantly evolving domains such as restaurant...

Phone-like units (PLUs) for automatic speech recognition are derived using a decision tree algorithm. In our approach we use information such as target phone label, immediate context, lexical stress level and function word affiliation in the decision tree analysis. The resulting PLUs are shown to improve phone and word recognition.

A parallel distributed processing model of visual word recognition and pronunciation is described. The model consists of sets of orthographic and phonological units and an interlevel of hidden units. Weights on connections between units were modified during a training phase using the back-propagation learning algorithm. The model simulates many aspects of human performance, including (a) differ...

For both human and automatic speech recognizers it is difficult to segment continuous speech into discrete units such as words. Word segmentation is so hard because there seem to be no self-evident cues for word boundaries in the speech stream. However, it has been suggested that English listeners can profit from the occurrence of full vowels (i.e. vowels with metrical stress) in the speech str...

Does the organization of the mental lexicon reflect the combination of abstract underlying morphemic units or the concatenation of word-level phonological units? We address these fundamental issues in Arabic, a Semitic language where every surface form is potentially analyzable into abstract morphemic units - the word pattern and the root - and where this view contrasts with stem-based approach...