There is growing evidence that, during song learning, birds do not only acquire 'what to sing' (the inventory of behavior), but also 'how to sing' (the singing program), including order-features of song sequencing. Common Nightingales Luscinia megarhynchos acquire such serial information by segmenting long strings of heard songs into smaller subsets or packages, by a process reminiscent of the ...

We often learn and recall long sequences in smaller segments, such as a phone number 858 534 22 30 memorized as four segments. Behavioral experiments suggest that humans and some animals employ this strategy of breaking down cognitive or behavioral sequences into chunks in a wide variety of tasks, but the dynamical principles of how this is achieved remains unknown. Here, we study the temporal ...

In this article we describe an approach to the construction of a general learning mechanism based on chunking in Soar. Chunking is a learning mechanism that acquires rules from goal-based experience. Soar is a general problem-solving architecture with a rulebased memory. In previous work we have demonstrated how the combination of chunking and Soar could acquire search-control knowledge (strate...

We describe the CoNLL-2000 shared task: dividing text into syntactically related nonoverlapping groups of words, so-called text chunking. We give background information on the data sets, present a general overview of the systems that have taken part in the shared task and briefly discuss their performance.

We review approaches to the chunking and UpWriting of local descriptors.

This paper introduces new definitions of Chinese base phrases and presents a hybrid model to combine Memory-Based Learning method and disambiguation proposal based on lexical information and grammar rules populated from a large corpus for 9 types of Chinese base phrases chunking. Our experiment achieves an accuracy (F-measure) of 93.4%. The significance of the research lies in the fact that it ...

Text parsing has always benefited from special attention since the first applications of natural language processing (NLP). The problem gets worse for the Arabic language because of its specific features that make it quite different and even more ambiguous than other natural languages when processed. In this paper, we discuss a new approach for chunking Arabic texts based on a combinatorial cla...