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苏州科技大学外国语学院综合英语课件 Improving Your Oral Skills
苏州科技大学外国语学院 综合英语 课件 Improving Your Oral Skills
2016/11/10
苏州科技大学外国语学院综合英语课件 Improving Your Oral Skills。
Improving Statistical Machine Translation by Adapting Translation Models to Translationese
Statistical Machine Translation Translation Models Translationese
2015/9/11
Translation models used for statistical machine translation are compiled from parallel corpora that are manually translated. The common assumption is that parallel texts are symmetrical: The direction...
Improving Translation via Targeted Paraphrasing
Improving Translation Targeted Paraphrasing
2015/9/2
Targeted paraphrasing is a new approach to the problem of obtaining cost-effective, reasonable quality translation that makes use of simple and inexpensive human computations by monolingual speakers i...
Improving Text Segmentation Using Latent Semantic Analysis: A Reanalysis of Choi, Wiemer-Hastings, and Moore (2001)
Text Segmentatio Analysis Wiemer-Hastings
2015/9/1
Choi, Wiemer-Hastings, and Moore (2001) proposed to use Latent Semantic Analysis (LSA) to
extract semantic knowledge from corpora in order to improve the accuracy of a text segmentation
algorithm. B...
Improving Machine Translation Performance by Exploiting Non-Parallel Corpora
Machine Translation Performance Exploiting Non-Parallel Corpora
2015/8/31
We present a novel method for discovering parallel sentences in comparable, non-parallel corpora.We train a maximum entropy classifier that, given a pair of sentences, can reliably determine whether o...
Improving Accuracy in Word Class Tagging through the Combination of Machine Learning Systems
Word Class Tagging Machine Learning Systems
2015/8/26
We examine how differences in language models, learned by different data-driven systems performing the same NLP task, can be exploited to yield a higher accuracy than the best individual system. We do...
Learning Methods to Combine Linguistic Indicators:Improving Aspectual Classification and Revealing Linguistic Insights
Combine Linguistic Indicators Aspectual Classification Revealing Linguistic Insights
2015/8/25
Aspectual classification maps verbs to a small set of primitive categories in order to reason abouttime. This classification is necessary for interpreting temporal modifiers and assessing temporal rel...
A Multistrategy Approach to Improving Pronunciation by Analogy
Analogy Improving Pronunciation
2015/8/25
Pronunciation by analogy (PbA) is a data-driven method for relating letters to sound, with
potential application to next-generation text-to-speech systems. This paper extends previous
work on PbA in...
Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration
part-of-speech stemming tagging transliteration
2015/7/10
Machine Translation for Indian languages is an emerging research area. Transliteration is one such module that we design while designing a translation system. Transliteration means mapping of source l...
From outside agitators to inside implementers:Improving the literacy education of vernacular and creole speakers
outside agitators to inside implementers literacy education of vernacular creole speakers
2015/6/16
From outside agitators to inside implementers:Improving the literacy education of vernacular and creole speakers.
Despite efforts to build robust vision systems, robots in new environments inevitably encounter new objects. Traditional supervised learning requires gathering and annotating sample images in the envi...
武汉理工大学英语写作英文课件Chapter2 Improving Paragraph Skills
武汉理工大学 英语写作 英文 课件 Chapter2 Improving Paragraph Skills
2015/5/27
武汉理工大学英语写作英文课件Chapter2 Improving Paragraph Skills。
Improving Native Language Identification with TF-IDF Weighting
Native Language Identification TF-IDF Weighting
2015/4/27
This paper presents a Native Language Identification (NLI) system based on TF-IDF weighting schemes and using linear classifiers - support vector machines, logistic regressions and perceptrons. The sy...
Using Untranscribed User Utterances for Improving Language Models based on Confidence Scoring
Language Models Confidence Scoring
2015/3/11
Using Untranscribed User Utterances for Improving Language Models based on Confidence Scoring.
Improving Nonnative Speech Understanding Using Context and N-Best Meaning Fusion
N-Best Fusion Spoken Dialogue Systems
2015/3/9
Improving Nonnative Speech Understanding Using Context and N-Best Meaning Fusion.