the common belief among a great number of linguists and psycholinguists is that the solution to the problem of language acquisition, also called the projection problem or plato’s problem, lies within the prior knowledge. one hypothesis that constitutes the foundation of this belief is that the gap between the child-exposed input (primary data) and the linguistic system (linguistic competence) i...

the present study clarifies the difference between orthographic words and their phonological correspondents in persian writing system via computing orthographic depth of persian writing system. in this article, first, the relationship between orthographic forms of the words and their phonological correspondents is formalized by using context free and context sensitive grapheme-phoneme rules. th...

Conversational interfaces have received much attention as a promising natural communication channel between humans and computers. A typical conversational interface consists of three major systems: speech understanding, dialog management and spoken language generation. In such a conversational interface, speech recognition as the front-end of speech understanding remains to be one of the fundam...

Conversational interfaces have received much attention as a promising natural communication channel between humans and computers. A typical conversational interface consists of three major systems: speech understanding, dialog management and spoken language generation. In such a conversational interface, speech recognition as the front-end of speech understanding remains to be one of the fundam...

We present a system that couples techniques belonging to Information Extraction and deep linguistic processing for Question Answering. The system presented in the paper has undergone extensive testing and the parser has been trained on available testsuites. The system uses text entailment processing to select best sentences to match with each question. Both sentences and questions need to parse...

Sentence modelling is a fundamental topic in computational linguistics. Recently, deep learning-based sequential models of sentence, such as recurrent neural network, have proved to be effective in dealing with the non-sequential properties of human language. However, little is known about how a recurrent neural network captures linguistic knowledge. Here we propose to correlate the neuron acti...

Paraphrase generation is useful for various NLP tasks. But pivoting techniques for paraphrasing have limited applicability due to their reliance on parallel texts, although they benefit from linguistic knowledge implicit in the sentence alignment. Distributional paraphrasing has wider applicability, but doesn’t benefit from any linguistic knowledge. We combine a distributional semantic distance...

The GOLD Community of Practice is proposed as a model for managing on-line linguistic data. The key components of the model include the linguistic data resources themselves and those focused on the knowledge derived from data. Data resources include the ever-increasing amount of linguistic field data and other descriptive language resources being migrated to the Web. The knowledge resources cap...

This pal)or presents a linguistic model for language understanding and describes its application to an experimental machine translation system called LUTE. The language understanding model is an interactive model between the memory structure and a text. The memory structure is hierarchical and represented in a frame-network. Linguistic and non-linguistic knowledge is stored and the result of un...

Introduction. This review was written from the perspective of someone working in the field of Machine Learning of Natural Language: the application of techniques from statistical pattern recognition and Machine Learning to problems in Natural Language Processing (NLP). As in any subfield of Artificial Intelligence, the goals of this type of research can be either practical or theoretical. From ...