Lexical states provide a powerful mechanism to scan regular expressions in a context sensitive manner. At the same time, lexical states also make it hard to reason about the correctness of the grammar. We first categorize the related correctness issues into two classes: errors and warnings. and then present a context sensitive and a context insensitive analysis to identify errors and warnings i...

This paper reports on the development of a finite state system for finding grammar errors without actually specifying the error. A corpus of Swedish text written by children served as the data. Errors are more frequent and the distribution of the error types is different than for adult writers. Our approach (following Karttunen et al. [9]) for finding errors involves developing automata that re...

The article reports the case of a patient who showed a selective inability in reading multi-digit numbers following recovery from aphasic disorders. Although his ability to read words, non-words, syntagms and sentences was almost preserved, he made errors with Arabic numerals and number words. Different types of errors with alphabetic material were also observed: he made only rare phonological ...

In this paper two studies are presented in which the detection of speech recognition errors on the word level was examined. In the first study, memory-based and transformation-based machine learning was used for the task, using confidence, lexical, contextual and discourse features. In the second study, we investigated which factors humans benefit from when detecting errors. Information from th...

In this research we explore the possibility of using a large n-gram corpus (Google Books) to derive lexical transition probabilities from the frequency of word n-grams and then use them to check and suggest corrections in a target text without the need for grammar rules. We conduct several experiments in Spanish, although our conclusions also reach other languages since the procedure is corpus-...

Park, Sohee. 2003. Lexical Collocation Use by Korean EFL College learners. SNU Working Papers in English Linguistics and Language 2, 19-40. This study investigated Korean EFL college students' lexical collocation use. The specific research questions were as follows: 1) Which factors affect the collocational competence?; 2) Which collocation types are the most problematic to Korean EFL college l...

This investigation evaluated a possible source of reduced intelligibility in hypokinetic dysarthric speech, namely the mismatch between listeners' perceptual strategies and the acoustic information available in the dysarthric speech signal. A paradigm of error analysis was adopted in which listener transcriptions of phrases were coded for the presence and type of word boundary errors. Seventy l...

Structured link vector model (SLVM) and its improved version depend on statistical term measures to implement XML document representation. As a result, they ignore the lexical semantics of terms and its mutual information, leading to text classification errors. This paper proposed a XML document representation method, WordNet-based lexical-semantic SLVM, to solve the problem. Using WordNet, thi...

The current study investigated whether bilingualism affects the processing of sub-lexical representations specifying the sound structure of words. Spanish-English bilinguals, Mandarin-English bilinguals, and English-only monolinguals repeated English tongue twisters. Twister materials had word or nonword targets (thus varying in whether lexical information did or did not support sound processin...

In this paper we describe a system for detection and correction of lexical and syntactic errors in a French text. The lexical level uses several techniques (keys, phonetics and morphological generation). The aim of the syntactic level is verification of the structure of a sentence and of relations between words (e.g. agreement). It proceeds by unification of the decorations on the nodes of a de...