Concordance

Query will 27 (1,258.8 per million)

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.
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.
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.
<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.
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.
<term> genre </term> . Examples and results	will	be given for <term> Arabic </term> , but the	#4513 Examples and results will be given for Arabic, but the approach is applicable to any language that needs affix removal.
of these systems , <term> accuracy </term>	will	always be imperfect . For many reasons	#6782 Despite the successes of these systems, accuracywill always be imperfect.
results </term> in a short time . The tutorial	will	cover the basics of <term> SMT </term> : Theory	#8106 The tutorial will cover the basics of SMT:
cover the basics of <term> SMT </term> : Theory	will	be put into practice . <term> STTK </term>	#8114 Theory will be put into practice.
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.
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.
<term> sentences </term> . In this paper , we	will	present a new <term> evaluation measure </term>	#10359 In this paper, we will present a new evaluation measure which explicitly models block reordering as an edit operation.
<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.
language pairs </term> . The experimental results	will	show that it significantly outperforms	#10427 The experimental results will show that it significantly outperforms state-of-the-art approaches in sentence-level correlation.
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.
<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.
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.
Engllsh-Spanish fragment </term> . Finally we	will	present some outstanding problems with	#15160 Finally we will present some outstanding problems with the approach.


	in Help