This work presents the development and implementation of a full morphological analyzer for Basque, an agglutinative language. Several problems (phrase structure inside word-forms, noun ellipsis, multiplicity of values for the same feature and the use of complex linguistic representations) have forced us to go beyond the morphological segmentation of words, and to include an extra module that pe...

The focus of recent studies on Chinese word segmentation, part-of-speech (POS) tagging and parsing has been shifting from words to characters. However, existing methods have not yet fully utilized the potentials of Chinese characters. In this paper, we investigate the usefulness of character-level part-of-speech in the task of Chinese morphological analysis. We propose the first tagset designed...

This paper discusses the e ectiveness of a new probabilistic generalized LR model (PGLR) in word-based parsing (morphological and syntactic analysis) tasks, in which we have to consider the word segmentation and multiple part-of-speech problems. Parsing a sentence from the morphological level makes the task much more complex because of the increase of parse ambiguity stemming from word segmenta...

• We explore the impact of morphological segmentation on Keyword Spotting (KWS). ! • Handling out-of-vocabulary (OOV) words is a major challenge in KWS we aim to alleviate this problem by utilizing sub-word units.! • We augment a state-of-the-art KWS system with subword units derived from supervised and unsupervised morphological segmentations, and compare with phonetic and syllabic segmentatio...

A number of studies have shown that skilled readers decompose morphologically complex words upon encountering them (for a review, see Rastle & Davis, 2008). It has been proposed that this segmentation process is early and automatic and is driven by orthographic form, while being blind to semantic content, thus also called morpho-orthographic (Rastle, Davis, & New, 2004; Taft, 2003). One key fin...

We approach the task of morphological inflection generation as discriminative string transduction. Our supervised system learns to generate word-forms from lemmas accompanied by morphological tags, and refines them by referring to the other forms within a paradigm. Results of experiments on six diverse languages with varying amounts of training data demonstrate that our approach improves the st...

Reading involves the decoding of written forms into language forms that represent phonological, morphological, and word level units. Thus, orthographies convey not only phonological but also morphological information—the word roots, syntactic inflections, and derivational relations that constitute the minimal semantic and grammatical units of a language. There are many psycholinguistic issues b...

We propose a technique for effective extraction of bilingual phrases from word alignments using morphological processing. Morphological processing leads to an increase of the frequency of words in the corpus, consequently reduces Alignment Error Rate (AER). Intuitively, better word alignments enhance the quality of bilingual phrases extracted. Using alignments of a stemmed corpus for phrase ext...

This paper describes a full two level morphological description of Turkish word structures The description has been implemented using the PC KIMMO environment and is based on a root word lexicon of about roots words The phonetic rules of contemporary Turkish spoken in Turkey have been encoded using two level rules while the morphotactics of the agglutinative word structures have been encoded as...