Since written Japanese texts are expressed by many kinds of characters, input technique is most difficult when Japanese information is processed by computers. Therefore a task-independent Japanese text input system which has a speech analyzer as a main input device and a keyboard as an auxiliary device was designed and it has been implemented. The outline and experience of this system is descri...

In many morphologically rich languages, conceptually independent morphemes are glued together to form a new word (a compound) with a meaning that is often at least in part predictable from the meanings of the contributing morphemes. Assuming that most compounds express a subconcept of exactly one sense of its nominal head, we use compounds as a higher-quality alternative to simply using general...

This paper presents the application of context vector similarity for the purpose of word sense discrimination during query translation. The random indexing vector space method is used to accumulate the context vectors. Pair wise similarity of the context vectors of ambiguous terms with that of anchor terms indicated the possible correct translation of a query term. Two retrieval experiments wer...

Smith et al. [2] and Ives et al. [3] demonstrated that humans could extract information about the size of a speaker's vocal tract from speech sounds (vowels and syllables, respectively). We have extended their discrimination and recognition experiments to naturally pronounced words. The Just Noticeable Difference (JND) for size discrimination was between 5.5% and 19% depending on the listener. ...

In this paper, an integrated score function is proposed to resolve the ambiguity of deepstructure, which includes the cases of constituents and the senses of words. With the integrated score function, different knowledge sources, including part-of-speech, syntax and semantics, are integrated in a uniform formulation. Based on this formulation, different models for case identification and word-s...

Word importance discrimination is a task deserving attention when one treats a topic from TREC where a topic is quite long. The goal of the process is to estimate importance of words which carry any (additional) information about user information needs. In our experiments we estimated word importance using context information of a word.

Very few pairs of English words share exactly the same letter bigrams. This linguistic property can be exploited to bring lexical context into the classification stage of a word recognition system. The lexical n-gram matches between every word in a lexicon and a subset of reference words can be precomputed. If a match function can detect matching segments of at least n-gram length from the feat...

Languages are inherently ambiguous. Four out of five words in English have more than one meaning. Nowadays there is a growing number of small proprietary thesauri used for knowledge management for different applications. In order to enable the usage of these thesauri for automatic text annotations, we introduce a robust method for discriminating word senses using hypernyms. The method uses coll...

This paper describes a series of experiments conducted to group similar words using context features derived from a corpus. The goal is to find an approach that would be suitable for cleaning the fuzzy WordNet synsets obtained by automatic translation of Serbian synsets into Slovene. Similar techniques have been used successfully by a number of researches already and they are attractive particu...

Benefiting from the development of big data, edge computing, and deep learning, splendid breakthroughs have been made in automatic speech recognition (ASR) recent years. Since then, more smart products chosen as interface for human-computer interaction, which causes popularity intelligence (EI) enhanced recognition. While people are enjoying social changes brought by technology, a factor instab...