Learning a language with complex morphology poses challenge to learners, especially adults, who may need acquire unfamiliar grammatical categories. One possible advantage languages is that the could provide cues word meaning. The hypothesis can bootstrap adult learning tested across four cross-situational experiments. Adult learners were exposed words from novel CVCV stems and -CV suffixes. In ...

Being able to extract and interpret the internal structure of complex word forms such as the English word dance+r+s is crucial for successful language learning. We examined whether the ability to extract morphological information during word learning is affected by the morphological features of one's native tongue. Spanish and Finnish adult participants performed a word-picture associative lear...

Most state-of-the-art systems today produce morphological analysis based only on orthographic patterns. In contrast, we propose a model for unsupervised morphological analysis that integrates orthographic and semantic views of words. We model word formation in terms of morphological chains, from base words to the observed words, breaking the chains into parent-child relations. We use log-linear...

In this paper, we introduce a trie-structured Bayesian model for unsupervised morphological segmentation. We adopt prior information from different sources in the model. We use neural word embeddings to discover words that are morphologically derived from each other and thereby that are semantically similar. We use letter successor variety counts obtained from tries that are built by neural wor...

This paper employs morphological structures and relations between sentence segments for opinion analysis on words and sentences. Chinese words are classified into eight morphological types by two proposed classifiers, CRF classifier and SVM classifier. Experiments show that the injection of morphological information improves the performance of the word polarity detection. To utilize syntactic s...

Recent experimental evidence on morphological learning and processing has prompted a less deterministic and modular view of the interaction between stored word knowledge and on-line processing. Storing a word in the mental lexicon does not simply entail keeping a faithful memory image of that word in the most compact way. It also requires encoding and manipulating such image through topological...

The goal of this study is to improve corpus-based Japanese morphological analysis which is composed by word segmentation and part-of-speech (below POS) tagging. We divide the problem of Japanese morphological analysis into three subproblems: models for known word, models for unknown word and corpus maintenance schema. Firstly, we discuss Markov model-based approaches for known word processing. ...

Whole Word Morphologizer is a small computer implementation of word-based morphology. The program automatically identifies morphological relations in a small word-based lexicon, literally learning its morphology, and uses the knowledge it acquires to generate new words. It is based on a model of the mental lexicon in which all entries are whole, entire, fully fledged words and relies solely on ...

This paper deals with the impact of the salience of complex words and their constituent parts on lexical access. While almost 40 years of psycholinguistic studies have focused on the relevance of morphological structure for word recognition, little attention has been devoted to the relationship between the word as a whole unit and its constituent morphemes. Depending on the theoretical approach...

We explore the ability of word embeddings to capture both semantic and morphological similarity, as affected by the different types of linguistic properties (surface form, lemma, morphological tag) used to compose the representation of each word. We train several models, where each uses a different subset of these properties to compose its representations. By evaluating the models on semantic a...