| The operation of the <term> system </term> | will | be explained in depth through browsing | #3689 The operation of the systemwill be explained in depth through browsing the repository of data objects created by the system during each question answering session. | |
| source code </term> of the <term> tool kit </term> | will | be made available . In this paper we present | #8198 The source code of the tool kitwill be made available. | |
| <term> users </term> of our <term> tool </term> | will | drive a <term> syntax-based decoder </term> | #9914 In our demonstration at ACL, new users of our toolwill drive a syntax-based decoder for themselves. | |
| word dependent substitution costs </term> | will | demonstrate an additional increase of correlation | #10447 Results from experiments with word dependent substitution costswill demonstrate an additional increase of correlation between automatic evaluation measures and human judgment. | |
| aspects of a <term> parse tree </term> that | will | determine the correct <term> parse </term> | #18972 We use a corpus of bracketed sentences, called a Treebank, in combination with decision tree building to tease out the relevant aspects of a parse tree that will determine the correct parse of a sentence. | |
| <term> natural language interfaces </term> | will | never appear cooperative or graceful unless | #12561 While such decoding is an essential underpinning, much recent work suggests that natural language interfaceswill never appear cooperative or graceful unless they also incorporate numerous non-literal aspects of communication, such as robust communication procedures. | |
| assumption that the input <term> text </term> | will | be in reasonably neat form , e.g. , <term> | #12958 Most large text-understanding systems have been designed under the assumption that the input textwill be in reasonably neat form, e.g., newspaper stories and other edited texts. | |
| involved in the decision making process | will | be presented here . <term> Listen-Communicate-Show | #775 The results of this experiment, along with a preliminary analysis of the factors involved in the decision making process will be presented here. | |
| target word selection </term> . This paper | will | concentrate on the second requirement . | #20261 This paper will concentrate on the second requirement. | |
| statistical machine translation tool kit </term> , | will | be introduced and used to build a working | #8129 STTK, a statistical machine translation tool kit, will be introduced and used to build a working translation system. | |
| <term> free text </term> . The demonstration | will | focus on how <term> JAVELIN </term> processes | #3664 The demonstration will focus on how JAVELIN processes questions and retrieves the most likely answer candidates from the given text corpus. | |
| in the <term> sentence </term> , the process | will | extend to both the left and the right of | #15584 So, for any place where the easily identifiable fragments occur in the sentence, the process will extend to both the left and the right of the islands, until possibly completely missing fragments are reached. | |
| Engllsh-Spanish fragment </term> . Finally we | will | present some outstanding problems with | #15160 Finally we will present some outstanding problems with the approach. | |
| information sources </term> . We have built and | will | demonstrate an application of this approach | #818 We have built and will demonstrate an application of this approach called LCS-Marine. | |
| these <term> evaluation techniques </term> | will | provide information about both the <term> | #587 We believe that these evaluation techniqueswill provide information about both the human language learning process, the translation process and the development of machine translation systems. | |
| 3-character Chinese names without title </term> . We | will | show the experimental results for two <term> | #18339 We will show the experimental results for two corpora and compare them with the results by the NTHU's statistic-based system, the only system that we know has attacked the same problem. | |
| </term> , it is extremely likely that they | will | all share the same <term> sense </term> . This | #19253 That is, if a polysemous word such as sentence appears two or more times in a well-written discourse, it is extremely likely that they will all share the same sense. | |
| basics of <term> monolingual UCG </term> , we | will | show how the two can be integrated , and | #15138 After introducing this approach to MT system design, and the basics of monolingual UCG, we will show how the two can be integrated, and present an example from an implemented bi-directional Engllsh-Spanish fragment. | |
| <term> quadratic time </term> . Furthermore , we | will | show how some <term> evaluation measures </term> | #10388 Furthermore, we will show how some evaluation measures can be improved by the introduction of word-dependent substitution costs. | |
| cover the basics of <term> SMT </term> : Theory | will | be put into practice . <term> STTK </term> | #8114 Theory will be put into practice. |
