The first goal of this paper is to determine whether superficially ‘tenseless’ sentences like (1b) contain a covert tense morpheme; I will argue that they do. The second goal is to determine what the semantics of that tense morpheme is. I will propose that (1b) contains a phonologically null tense morpheme which is lexically underspecified with respect to whether the reference time precedes or ...

The continuous emergence of new technical terms and the difficulty of keeping up with neologism in parallel corpora deteriorate the performance of statistical machine translation (SMT) systems. This paper explores the use of morphological information to improve English-to-Chinese translation for technical terms. To reduce the morphemelevel translation ambiguity, we group the morphemes into morp...

Cities grow through the addition of new housing structures, but existing tissue is also modernized. Krakow, like any city with a historical origin, has typologically varied tissue. A large area occupied by multi-family panel-block estates which are being revitalised and scope this revitalization should include sustainable design elements. This paper determines potential for implementing integra...

The goal of Morpho Challenge 2008 was to find and evaluate unsupervised algorithms that provide morpheme analyses for words in different languages. Especially in morphologically complex languages, such as Finnish, Turkish and Arabic, morpheme analysis is important for lexical modeling of words in speech recognition, information retrieval and machine translation. The evaluation in Morpho Challen...

The analysis of stem alternations (e.g. sang as past of sing) is controversial; there is a lasting tension between morphophonological theories (sang is derived from sing by rule) and stem storage theories (sang and sing are stored allomorphs). This paper argues that in many cases of stem alternation (e.g., Spanish diphthongization) the locality conditions on contextual allomorphy provide crucia...

In this paper, we describe problems in recognizing largevocabulary Korean continuous speech, and proposed solutions to them. Korean sentences consist of eojeols, which are separated by spaces in text and consist of morphemes. When we use morpheme units, there are many word insertion and deletion errors because morpheme units are too short. We introduce a between-word phone variation lexicon tha...

Previously, phone-based and word-based approaches have been used for spoken document retrieval. The former suffers from high error rates and the latter from limited vocabulary of the recognizer. Our method relies on unlimited vocabulary continuous speech recognizer that uses morpheme-like units discovered in an unsupervised manner. The morpheme-like units, or “morphs” for short, have been succe...

We apply multi-rate HMMs, a tree structured HMM model, to the word-alignment problem. Multi-rate HMMs allow us to model reordering at both the morpheme level and the word level in a hierarchical fashion. This approach leads to better machine translation results than a morphemeaware model that does not explicitly model morpheme reordering.

We present a technique for refining a baseline segmentation and generating a plausible underlying morpheme segmentation by integrating hand-written rewrite rules into an existing state-of-the-art unsupervised morphological induction procedure. Performance on measures which consider surface-boundary accuracy and underlying morpheme consistency indicates this technique leads to improvements over ...