We describe Allomorfessor, which extends the unsupervised morpheme segmentation method Morfessor to account for the linguistic phenomenon of allomorphy, where one morpheme has several different surface forms. The method discovers common base forms for allomorphs from an unannotated corpus by finding small modifications, called mutations, for them. Using Maximum a Posteriori estimation, the mode...

Bisher bezogen sich Angaben zum Wortschatz einer Sprache meist auf Wortformen und basierten auf Korpora, die möglichst balanciert und repräsentativ sein sollten. Die vorliegende Untersuchung betrachtet neben der Verteilung der Wortformen auch die der Morpheme und Allomorphe, basierend auf einer regelgesteuerten automatischen Wortformerkennung (DMM). Die Morphemverteilung in einem klassischen Ko...

In three experiments we explored the mental representation of morphologically complex words in French. Subjects were asked to perform a gender decision task on morphologically complex words that were of the same gender as their base or not. We found that gender decisions were made more slowly for morphologically complex words made from a base with an opposite gender compared to words for which ...

We revisit morpheme studies to evaluate the long-standing claim for a universal order of acquisition. We investigate the L2 acquisition order of six English grammatical morphemes by learners from seven L1 groups across five proficiency levels. Data are drawn from approximately 10,000 written exam scripts from the Cambridge Learner Corpus. The study establishes clear L1 influence on the absolute...

Studies are reviewed that demonstrate how the identification of compound words during reading is constrained by the foveal area of the eye. When compound words are short, their letters can be identified during a single fixation, leading to the whole-word route dominating word recognition from early on. Hence, marking morpheme boundaries visually by means of hyphens slows down the processing of ...

We investigated the notion of “popularity” for machine-generated sentences. We defined a popular sentence as one that contains words that are frequently used, appear in many documents, and contain frequent dependencies. We measured the popularity of sentences based on three components: content morpheme count, document frequency, and dependency relationships. To consider the characteristics of a...

This paper describes development of a large vocabulary continuous speaker independent speech recognition system for Estonian. Estonian is an agglutinative language and the number of different word forms is very large, in addition, the word order is relatively unconstrained. To achieve a good language coverage, we use pseudo-morphemes as basic units in a statistical trigram language model. To im...

This study is concerned with derivational morphemes. The morpheme divided into two types, namely the prefix and suffix, both of which are found in Donald Trump’s inauguration speech. In conducting this research, descriptive qualitative methods were used. data consisted transcripts inaugural speech analyzed based on morpheme. results analysis showed that there 17 prefixes (27%), can be six types...

This paper is concerned with the specifications and the implementation of a particular concept of word-based lexicon to be used for large natural language processing systems such as machine translation systems, and compares it with the morpheme-based conception of the lexicon traditionally assumed in computational linguistics. It will be argued that, although less concise, a relational word-bas...