Concordance

Query methods 30 (1,398.7 per million)

tech,5-2-P06-2110,bq	</term> . Through two experiments , three <term>	methods	for constructing word vectors </term> , i.e.	#11499 Through two experiments, threemethods for constructing word vectors, i.e., LSA-based, cooccurrence-based and dictionary-based methods, were compared in terms of the ability to represent two kinds of similarity, i.e., taxonomic similarity and associative similarity.
other,13-2-P06-2110,bq	cooccurrence-based and dictionary-based	methods	</term> , were compared in terms of the ability	#11512 Through two experiments, three methods for constructing word vectors, i.e., LSA-based, cooccurrence-based and dictionary-based methods, were compared in terms of the ability to represent two kinds of similarity, i.e., taxonomic similarity and associative similarity.
	these techniques and the still valuable	methods	of more traditional <term> natural language	#12658 The paper proposes interfaces based on a judicious mixture of these techniques and the still valuable methods of more traditional natural language interfaces.
	because it seemed more important to devise	methods	to grasp the <term> global meaning </term>	#13854 Determiners play an important role in conveying the meaning of an utterance, but they have often been disregarded, perhaps because it seemed more important to devise methods to grasp the global meaning of a sentence, even if not in a precise way.
	word classification </term> . We describe the	methods	and hardware that we are using to produce	#16868 We describe the methods and hardware that we are using to produce a real-time demonstration of an integrated Spoken Language System.
	pragmatic analysis </term> can be bolstered with	methods	for achieving robustness . We describe	#17451 However, our experience with TACITUS; especially in the MUC-3 evaluation, has shown that principled techniques for syntactic and pragmatic analysis can be bolstered with methods for achieving robustness.
tech,21-3-A94-1011,bq	with <term> unsupervised structure finding	methods	</term> to derive notions of <term> noun group	#19969 A novel method for adding linguistic annotation to corpora is presented which involves using a statistical POS tagger in conjunction with unsupervised structure finding methods to derive notions of noun group, verb group, and so on which is inherently extensible to more sophisticated annotation, and does not require a pre-tagged corpus to fit.
	superiority of this method over existing	methods	. The basic idea of this method is that	#20458 Finding the correct candidates is one superiority of this method over existing methods.
	<term> errors </term> , this paper proposes new	methods	using <term> m-th order Markov chain model	#20679 In order to judge three types of the errors, which are characters wrongly substituted, deleted or inserted in a Japanese bunsetsu and an English word, and to correct these errors, this paper proposes new methods using m-th order Markov chain model for Japanese kanji-kana characters and English alphabets, assuming that Markov probability of a correct chain of syllables or kanji-kana characters is greater than that of erroneous chains.
	the experiments , it is concluded that the	methods	is useful for detecting as well as correcting	#20727 From the results of the experiments, it is concluded that the methods is useful for detecting as well as correcting these errors in Japanese bunsetsu and English words.


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