This paper introduces a dual-mode stochastic system to automatically identify linguistic code switch points in Arabic. The first of these modes determines the most likely word tag (i.e. dialect or modern standard Arabic) by choosing the sequence of Arabic word tags with maximum marginal probability via lattice search and 5-gram probability estimation. When words are out of vocabulary, the syste...

A growing corpus of evidence suggests that morphology could play a role in reading acquisition, and that young readers could be sensitive to the morphemic structure of written words. In the present experiment, we examined whether and when morphological information is activated in word recognition. French fourth graders made visual lexical decisions to derived words preceded by primes sharing ei...

The representation of morphological structures in the mental lexicon constitutes the inevitable topic in the investigation of cognitive aspects of the language data processing. In the present paper the influence of the noun case functions of the phoneme identification in Croatian language is investigated within the framework of the spoken word recognition. By means of the gating paradigm 36 sub...

Studies of English and German find that children tend to acquire word-final consonant clusters before word-initial consonant clusters. This order of acquisition is generally attributed to articulatory, frequency and/or morphological factors. This contrasts with recent experimental findings from French, where two-year-olds were better at producing word-initial than word-final clusters (Demuth & ...

Most of neural language models use different kinds of embeddings for word prediction. While word embeddings can be associated to each word in the vocabulary or derived from characters as well as factored morphological decomposition, these word representations are mainly used to parametrize the input, i.e. the context of prediction. This work investigates the effect of using subword units (chara...

This paper proposes a lexicon-constrained character model that combines both word and character features to solve complicated issues in Chinese morphological analysis. A Chinese character-based model constrained by a lexicon is built to acquire word building rules. Each character in a Chinese sentence is assigned a tag by the proposed model. The word segmentation and partof-speech tagging resul...

Considerable behavioral research has demonstrated that the visual word recognition system is sensitive to morphological structure. It has typically been assumed that analysis of morphologically complex words occurs only when the meaning of these words can be derived from the meanings of their constituents (e.g., hunter = hunt + er). However, results from recent behavioral research using the mas...

This study accounts for Korean /n/-epenthesis from a usage-based perspective, by describing the reduced productivity of epenthesis as an analogical change in progress. We found that epenthesis probability rises as whole-word frequency increases, supporting the hypothesis that analogical change begins in lowfrequency words (Bybee 2002). We interpret the findings as support for the idea that freq...

A system for recognition and morphological classification of unknown words for German is described and evaluated. It takes raw text as input and outputs a list of the unknown nouns together with a hypothesis about their possible morphological class and stem. MorphoClass exploits global information (ending-guessing rules, maximum likelihood estimations, word frequency statistics), morphological ...

This article describes the current state of syntactic analysis of Estonian using Constraint Grammar. Constraint Grammar framework divides parsing into two different modules: morphological disambiguation and determination of syntactic functions. This article focuses on the last module in detail. If the morphological disambiguator achieves the precision more than 85% and error rate is smaller tha...