We present evidence that successful chunk formation during a statistical learning task depends on how well the perceiver is able to parse the information that is presented between successive presentations of the to-be-learned chunk. First, we show that learners acquire a chunk better when the surrounding information is also chunk-able in a visual statistical learning task. We tested three proce...

People automatically chunk ongoing dynamic events into discrete units. This paper investigates whether linguistic structure is a factor in this process. We test the claim that describing an event with a serial verb construction will influence a speaker’s conceptual event structure. The grammar of Avatime (a Kwa language spoken in Ghana) requires its speakers to describe some, but not all, place...

Chunking is the subdivision of sentences into non recursive regular syntactical groups: verbal chunks, nominal chunks, adjective chunks, adverbial chunks and propositional chunks etc. The chunker can operate as a preprocessor for Natural Language Processing systems. This study aims to propose new phrase chunking algorithm for Myanmar natural language processing. The developed new algorithm acce...

1.1 Motivation There are two chief motivations for chunking: to locate information, or to ignore information. In the former case, we may want to extract all noun phrases so that they can be indexed. A text retrieval system could the use the index to support e cient retrieval for queries involving terminological expressions. A message understanding system will extract salient chunks of text from...

This paper presents an HMM-based chunk tagger for Hindi. Various tagging schemes for marking chunk boundaries are discussed along with their results. Contextual information is incorporated into the chunk tags in the form of partof-speech (POS) information. This information is also added to the tokens themselves to achieve better precision. Error analysis is carried out to reduce the number of c...

The paper proposed a new syntactic annotation scheme --functional chunk, which tried to represent information about grammatical relations between sentence-level predicates and their arguments. Under this scheme, we built a Chinese chunk bank with about two million Chinese characters, and developed some learned models for automatically annotating fresh text with functional chunks. We also propos...

When a live streaming video is delivered over a peer-to-peer (P2P) network, the video is divided into several chunks and distributed to peers. Each chunk has its own playback time deadline. A chunk delay can be a problem of great concern because a serious chunk delay can produce obvious discontinuity of the streaming video, resulting in low satisfaction for a viewer. The playback time of a dela...

An integrated method for bilingual chunk partition and alignment, called “Interactional Matching”, is proposed in this paper. Different from former works, our method tries to get as necessary information as possible from the bilingual corpora themselves, and through bilingual constraint it can automatically build one-to-one chunk-pairs associated with the chunk-pair confidence coefficients. Als...

We propose a multi-partition, multi-chunk ensemble classifier based data mining technique to classify concept-drifting data streams. Existing ensemble techniques in classifying concept-drifting data streams follow a single-partition, single-chunk approach, in which a single data chunk is used to train one classifier. In our approach, we train a collection of v classifiers from r consecutive dat...