The influence of Malay language into modeling a Malay speech lexicon can be potentially useful for a more accurate transcription and segmentation. The problem arises when trying to discriminate the boundaries between similar sounding phonemes for segmentation, especially in dyslexic children‘s speech when reading, which have been influenced by the surrounding phonemes (before and after) thus ma...

The quantification of lexical semantic relatedness has many applications in NLP, and many different measures have been proposed. We evaluate five of these measures, all of which use WordNet as their central resource, by comparing their performance in detecting and correcting real-word spelling errors. An information-content–based measure proposed by Jiang and Conrath is found superior to those ...

Many theories of language production and perception assume that in the normal course of processing a word, additional non-target words (lexical neighbors) become active. The properties of these neighbors can provide insight into the structure of representations and processing mechanisms in the language processing system. To infer the properties of neighbors, we examined the non-semantic errors ...

We report the case of a neologistic jargonaphasic and ask whether her target-related and abstruse neologisms are the result of a single deficit, which affects some items more severely than others, or two deficits: one to lexical access and the other to phonological encoding. We analyse both correct/incorrect performance and errors and apply both traditional and formal methods (maximum-likelihoo...

This research aims to assess whether typed natural language interaction with a computer using tone-marked Mandarin pinyin can lead to improved tone production in L2 learners of Chinese. A method for correcting lexical tone errors in free form typed pinyin sentences is presented. A Web-based framework that allows students to enter sentences in pinyin and receive feedback on lexical tone mistakes...

This paper is concerned with a type of speech errors called blends and what they may tell us about speech processing. A blend is a contamination of elements from two different lexical items. Sometime during the process of retrieving a lexical item for output, two functionally synonymous items that compete for the same slot are fused and realised as one separate word or nonce word (Levelt 1989: ...

Identifying ambiguous requirements is an important aspect of software development, as it prevents design and implementation errors that are costly to correct. Unfortunately, few efforts have been made to automatically solve the problem. In this paper, we study the problem of lexical ambiguity detection and propose methods that can automatically identify potentially ambiguous concepts in softwar...

Modern statistical dependency parsers assign lexical heads to punctuations as well as words. Punctuation parsing errors lead to low parsing accuracy on words. In this work, we propose an alternative approach to addressing punctuation in dependency parsing. Rather than assigning lexical heads to punctuations, we treat punctuations as properties of their neighbouring words, used as features to gu...

This paper describes strategies for automatic recognition of unknown variants of known words in a natural language processing system. The types of lexical variants which are detectable include in-flexional aberrations, ad hoc abbreviations and spelling/typographical errors. This technique is independent of any particular grammar or parsing formalism, and can be implemented as a lexical lookup r...