نتایج جستجو برای: compound words

تعداد نتایج: 269283  

2002
Tom Laureys Vincent Vandeghinste Jacques Duchateau

In several languages compound words form orthographic units, which complicates the task of ensuring good lexical coverage for large vocabulary continuous speech recognition (LVCSR). A common approach to the problem consists of first recognizing the compound constituents, followed by an automatic recompounding process. We describe an accurate compound module, which combines a rule-based approach...

2002
Tom Laureys Vincent Vandeghinste Jacques Duchateau

In several languages compound words form orthographic units, which complicates the task of ensuring good lexical coverage for large vocabulary continuous speech recognition (LVCSR). A common approach to the problem consists of first recognizing the compound constituents, followed by an automatic recompounding process. We describe an accurate compound module, which combines a rule-based approach...

Journal: :Psychological science 2011
Taoli Zhang Walter J B van Heuven Kathy Conklin

In this study, we investigated automatic translation from English to Chinese and subsequent morphological decomposition of translated Chinese compounds. In two lexical decision tasks, Chinese-English bilinguals responded to English target words that were preceded by masked unrelated primes presented for 59 ms. Unbeknownst to participants, the Chinese translations of the words in each critical p...

2011
Siva Reddy Ioannis P. Klapaftis Diana McCarthy Suresh Manandhar

Compositional Distributional Semantic methods model the distributional behavior of a compound word by exploiting the distributional behavior of its constituent words. In this setting, a constituent word is typically represented by a feature vector conflating all the senses of that word. However, not all the senses of a constituent word are relevant when composing the semantics of the compound. ...

Journal: :Memory & cognition 2008
Jason Arndt Todd C Jones

Four experiments were conducted in order to examine the influence of elaborative processing at encoding on recognition memory conjunction lure errors. In these experiments, participants generated cues for compound words as wholes (e.g., haywire) or as separate entities (e.g., hay, wire). Studied words were re-presented in exact form (old) or recombined to form conjunction lures on the recogniti...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سمنان 1392

in the area of vocabulary teaching and learning although much research has been done, only some of it has led to effective techniques of vocabulary teaching and many language learners still have problem learning vocabulary. the urge behind this study was to investigate three methods of teaching words. the first one was teaching words in context based on a traditional method of teaching that is,...

Journal: : 2022

This paper consists five sections. The first section provides a general preview of language phonemes and some phonological conditions, it also deals with phonemic cases in Kurdish language. As far as the second is concerned, elision change these sounds their roles assimilation formation new words are stated. third clarifies influences changing simple out compound words. Similarly, four explains...

Journal: :Psychonomic bulletin & review 2007
Jon Andoni Duñabeitia Manuel Perea Manuel Carreiras

Recent data from compound word processing suggests that compounds are recognized via their constituent lexemes (Juhasz, Starr, Inhoff, & Placke, 2003). The present lexical decision experiment manipulated orthogonally the frequency of the constituents of compound words in two languages: Basque and Spanish. Basque and Spanish diverge widely in their morphological properties and in the number of e...

2016
Fabian Hirschmann Jinseok Nam Johannes Fürnkranz

Traditional machine translation systems often require heavy feature engineering and the combination of multiple techniques for solving different subproblems. In recent years, several endto-end learning architectures based on recurrent neural networks have been proposed. Unlike traditional systems, Neural Machine Translation (NMT) systems learn the parameters of the model and require only minima...

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