Coherent texts are not just simple sequences of clauses and sentences, but rather complex artifacts that have highly elaborate rhetorical structure. This paper explores the extent to which well-formed rhetorical structures can be automatically derived by means of surface-form-based algorithms. These algorithms identify discourse usages of cue phrases and break sentences into clauses, hypothesiz...

This study investigates beginning level adult Chinese as a Foreign Language (CFL) learners’ difficulties with Mandarin Chinese tones. Twenty CFL learners enrolled in a first semester CFL course in a U.S. university participated as speakers. Their productions of Mandarin phrases and sentences were judged by native Mandarin listeners for pronunciation and tone problems and were also rated by nati...

This paper describes an approach for source retrieval task of PAN 2015 competition. We apply two methods to extract important terms, namely weighted noun phrases and keyword phrases which are extracted from long sentences in terms of word count. Queries are constructed from top marked sentences. The prepared system tries to gather a complete dataset of downloaded sources and employ it in query ...

We propose a new method for guided generation of concept maps from open access online knowledge resources such as Wikies. Based on this method we have implemented a prototype extracting semantic relations from sentences surrounding hyperlinks in the Wikipedia’s articles and letting a learner to create customized learning objects in real-time based on collaborative recommendations considering he...

The availability of extense tagged data corpus is an essential aspect in many NLP tasks. The effort required for tagging manually this large number of phrases has encouraged many researchers like us to create automatic applications for this issue. Our approach represents a completely automatic method (optionally applying a minimum effort) for enlarging an already existing corpus, so it acquires...

In this paper, we propose a new phrase-based translation model based on inter-lingual triggers. The originality of our method is double. First we identify common source. Then we use inter-lingual triggers in order to retrieve their translat ions. Furthermore, we consider the way of extracting phrase translations as an optimization issue. For that we use simulated annealing algorithm to find out...

Extractive speech summarization approaches select relevant segments of spoken documents and concatenate them to generate a summary. The extraction unit chosen, whether a sentence, syntactic constituent, or other segment, has a significant impact on the overall quality and fluency of the summary. Even though sentences tend to be the choice of most the extractive speech summarizers, in this paper...

There are large numbers of well-translated sentence pairs on the Web, which can be used for translating sentences in different languages. It is an interesting problem to search the closest sentence translations from the Web for high-quality translation, which has attracted significant attention recently. However, it is not straightforward to develop an effective approach, as this task heavily d...

Phrase-based statistical machine translation (PBSMT) decoders translate source sentences one phrase at a time using strong independence assumptions over the source phrases. Translation table scores are typically independent of context, language model scores depend on a few words surrounding the target phrase and distortion models do not influence directly the choice of target phrases. In this w...

One approach used to develop computer systems for natuidentifying phrases, e.g. is a noun phrase; and (3) ral language processing (NLP) is that of Artificial Neural Netidentifying the relationships among phrases, e.g. is works (NNs). Because of the large number of parameters a the agent of . This is similar to Jain (1991). NN has (e.g. network topology, learning algorit...