This paper describes the design of speech act tags for spoken dialogue corpora and its evaluation. Compared with the tags used for conventional corpus annotation, the proposed speech intention tag is specialized enough to determine system operations. However, detailed information description increases tag types. This causes an ambiguous tag selection. Therefore, we have designed an organization...

much attention has recently been paid to natural language processing in information storage and retrieval. this paper describes how the application of natural language processing ( nlp ) techniques can enhance cross-language information retrieval ( clir ). using a semi-experimental technique, we took farsi queries to retrieve relevant documents in english. for translating persian queries, we us...

A b stract The Xerox Part-of-Speech Tagger (XPOST) claims to be practical. One aspect of practicality as defined here is reusability. Thus it is meant to be easy to port XPOST to a new language. To test this, XPOST was ported to Swedish. This port is described and evaluated. In previous work on part-of-speech tagging, a practical part-of-speech tagger was defined as one with the following set o...

Since 100 B.C. humans are aware that the language consists of several distinct parts, called parts-of-speech. Identifying those parts-of-speech plays a crucial role in many fields of linguistics. Since TAGGIT, the first large-scale part-of-speech tagger, many algorithms and methods have been developed. Such include rule-based, probabilistic and hybrid taggers. When tagging large text corpora so...

Pre-trained word embeddings improve the performance of a neural model at the cost of increasing the model size. We propose to benefit from this resource without paying the cost by operating strictly at the sublexical level. Our approach is quite simple: before task-specific training, we first optimize sub-word parameters to reconstruct pre-trained word embeddings using various distance measures...

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Parsing speech requires a richer representation than 1-best or n-best hypotheses, e.g. lattices. Moreover, previous work shows that part-of-speech (POS) tags are a valuable resource for parsing. In this paper, we therefore explore a joint modeling approach of automatic speech recognition (ASR) and POS tagging to enrich ASR word lattices. To that end, we manipulate the ASR process from the prono...

The perceived prominence of three parts of speech (POS), nouns, verbs and adjectives, in three utterance positions, initial, intermediate and final, were examined in a perceptual experiment to see whether previously observed reductions in prominence of intermediate items were the result of positional effects or because words in this position belonged to the same POS, namely verbs. It was found ...