Index of papers in Proc. ACL 2011 that mention
  • parallel sentences
Chen, David and Dolan, William
Experiments
Figure 3: Evaluation of paraphrase systems trained on different numbers of parallel sentences .
Experiments
Overall, all the trained models produce reasonable paraphrase systems, even the model trained on just 28K single parallel sentences .
Experiments
Examples of the outputs produced by the models trained on single parallel sentences and on all parallel sentences are shown in Table 2.
Related Work
Another method for collecting monolingual paraphrase data involves aligning semantically parallel sentences from different news articles describing the same event (Shinyama et al., 2002; Barzilay and Lee, 2003; Dolan et al., 2004).
Related Work
While utilizing multiple translations of literary work or multiple news stories of the same event can yield significant numbers of parallel sentences , this data tend to be noisy, and reliably identifying good paraphrases among all possible sentence pairs remains an open problem.
parallel sentences is mentioned in 10 sentences in this paper.
Topics mentioned in this paper:
Sajjad, Hassan and Fraser, Alexander and Schmid, Helmut
Experiments
We randomly take 200,000 parallel sentences from the UN corpus of the year 2000.
Experiments
Then, we extract every f that cooccurs with e in a parallel sentence and add it to nbestTI(e) which gives us the list of candidate transliteration pairs candidateTI(e).
Experiments
Algorithm 3 Estimation of transliteration probabilities, e-to-f direction 1: unfiltered data <—1ist of word pairs 2: filtered data <—transliteration pairs extracted using Algorithm 1 3: Train a transliteration system on the filtered data 4: for all e do 5: nbestTI(e) <— 10 best transliterations for e according to the transliteration system 6: 0000(6) <— set of all f that cooccur with e in a parallel sentence candidateTI(e) <— cooc(e) U nbestTI(e) : end for : for all f do 10: pmoses( f, e) <— joint transliteration probability of e and f according to the transliterator
Introduction
The NEWSlO data sets are extracted Wikipedia InterLanguage Links (WIL) which consist of parallel phrases, whereas a parallel corpus consists of parallel sentences .
Models
For training Moses as a transliteration system, we treat each word pair as if it were a parallel sentence , by putting spaces between the characters of each word.
parallel sentences is mentioned in 5 sentences in this paper.
Topics mentioned in this paper:
Lu, Bin and Tan, Chenhao and Cardie, Claire and K. Tsou, Benjamin
A Joint Model with Unlabeled Parallel Text
each x,- is a sentence, and x}, and x3, are parallel sentences .
A Joint Model with Unlabeled Parallel Text
Given the problem definition above, we now present a novel model to exploit the correspondence of parallel sentences in unlabeled bilingual text.
A Joint Model with Unlabeled Parallel Text
If we assume that parallel sentences are perfect translations, the two sentences in each pair should have the same polarity label, which gives us:
Abstract
We rely on the intuition that the sentiment labels for parallel sentences should be similar and present a model that jointly learns improved monolingual sentiment classifiers for each language.
parallel sentences is mentioned in 4 sentences in this paper.
Topics mentioned in this paper:
Wu, Xianchao and Matsuzaki, Takuya and Tsujii, Jun'ichi
Experiments
The J ST J apanese-English paper abstract corpus6 (Utiyama and Isahara, 2007), which consists of one million parallel sentences , was used for training, tuning, and testing.
Introduction
However, forest-based translation systems, and, in general, most linguistically syntax-based SMT systems (Galley et al., 2004; Galley et al., 2006; Liu et al., 2006; Zhang et al., 2007; Mi et al., 2008; Liu et al., 2009; Chiang, 2010), are built upon word aligned parallel sentences and thus share a critical dependence on word alignments.
Introduction
In order to investigate this problem, we manually analyzed the alignments of the first 100 parallel sentences in our English-Japanese training data (to be shown in Table 2).
parallel sentences is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: