The quality of text correction systems can be improved when using complex language models and by taking peculiarities of the garbled input text into account. We report on a series of experiments where we crawl domain dependent web corpora for a given garbled input text. From crawled corpora we derive dictionaries and language models, which are used to correct the input text. We show that correc...

In this paper, an online incremental language model adaptation method is proposed, which is different from the traditional offline language model adaptation method. There are some problems in the online incremental adaptation. The first one is how to adjust the model parameters online and modify the model incrementally. The second one is how to induce new words and assign initial probabilities ...

In spoken language translation a machine translation system takes speech as input and translates it into another language. A standard machine translation system is trained on written language data and expects written language as input. In this paper we propose an approach to close the gap between the output of automatic speech recognition and the input of machine translation by training the tra...

Language input is necessary for language learning, yet little is known about whether, in natural environments, the speech style and social context of language input to children impacts language development. In the present study we investigated the relationship between language input and language development, examining both the style of parental speech, comparing 'parentese' speech to standard s...

In [6], Roscoe described a prototype compiler that allowed straightforward shared variable programs to be analysed using FDR, by writing a compiler in its CSPM language. This allowed, for example, a high degree of control over atomicity but lacked a proper input language and an interpreter for and counter-examples found. In this paper, we first propose a concrete syntax for the input language, ...

The present investigation explored the relation between the amount of language input and neural responses in English monolingual (N=18) and Spanish-English bilingual (N=19) infants. We examined the mismatch negativity (MMN); both the positive mismatch response (pMMR) and the negative mismatch response (nMMR), and identify a relationship between amount of language input and brain measures of spe...

This study tested the impact of child-directed language input on language development in Spanish-English bilingual infants (N = 25, 11- and 14-month-olds from the Seattle metropolitan area), across languages and independently for each language, controlling for socioeconomic status. Language input was characterized by social interaction variables, defined in terms of speech style ("parentese" vs...

BACKGROUND Melodic Intonation Therapy (MIT) uses the melodic elements of speech to improve language production in severe nonfluent aphasia. A crucial element of MIT is the melodically intoned auditory input: the patient listens to the therapist singing a target utterance. Such input of melodically intoned language facilitates production, whereas auditory input of spoken language does not. MET...

We design a schema language that includes channel schemas with capabilities of input, output, and input-output. These schemas may describe documents containing references to operations of remote services on the web. In this language, the subschema relation turns out to have an exponential cost. We therefore discuss a language restriction that admits a subschema relation with a polynomial cost.